{ "_id": "6a5739fdff0138dec5d6f5d5", "Package": "lessSEM", "Type": "Package", "Title": "Non-Smooth Regularization for Structural Equation Models", "Version": "1.5.7", "Authors@R": "c(person(given = \"Jannik H.\", family = \"Orzek\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"jannik.orzek@mailbox.org\",\ncomment = c(ORCID = \"0000-0002-3123-2248\")))", "Maintainer": "Jannik H. Orzek ", "Description": "Provides regularized structural equation modeling\n(regularized SEM) with non-smooth penalty functions (e.g.,\nlasso) building on 'lavaan'. The package is heavily inspired by\nthe ['regsem']() and\n['lslx']() packages.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Roxygen": "list(markdown = TRUE)", "VignetteBuilder": "knitr", "SystemRequirements": "GNU make, C++17", "URL": "https://github.com/jhorzek/lessSEM,\nhttps://jhorzek.github.io/lessSEM/", "BugReports": "https://github.com/jhorzek/lessSEM/issues", "Config/pak/sysreqs": "make libicu-dev", "Repository": "https://jhorzek.r-universe.dev", "Date/Publication": "2025-10-18 03:05:45 UTC", "RemoteUrl": "https://github.com/jhorzek/lesssem", "RemoteRef": "HEAD", "RemoteSha": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-15 07:24:11 UTC", "User": "root" }, "Author": "Jannik H. Orzek [aut, cre, cph] (ORCID:\n)", "_user": "jhorzek", "_type": "src", "_file": "lessSEM_1.5.7.tar.gz", "_fileid": "https://r2.ropensci.org/e8085476f5c150964a9d2a9ab39cc850efa7851adf8288d75b576678d953f9d8", "_filesize": 1557378, "_sha256": "e8085476f5c150964a9d2a9ab39cc850efa7851adf8288d75b576678d953f9d8", "_expires": "2026-10-23T07:42:51.000Z", "_created": "2026-07-15T07:24:11.000Z", "_published": "2026-07-15T07:42:53.336Z", "_jobs": [ { "job": 87293957418, "time": 377, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "8335796404" }, { "job": 87293957479, "time": 384, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8335797570" }, { "job": 87293957444, "time": 410, "config": "linux-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "8335807508" }, { "job": 87293957409, "time": 384, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8335797033" }, { "job": 87293957398, "time": 664, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "8335882802" }, { "job": 87293957390, "time": 687, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "8335896651" }, { "job": 87293957421, "time": 334, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "8335770581" }, { "job": 87293957429, "time": 898, "config": "macos-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8335970647" }, { "job": 87292419835, "time": 533, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "8335660410" }, { "job": 87293957392, "time": 261, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "8335754664" }, { "job": 87293957426, "time": 512, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "8335843107" }, { "job": 87293957539, "time": 490, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "8335835633" }, { "job": 87293957408, "time": 497, "config": "windows-release", "r": "4.6.1", "check": "OK", "artifact": "8335837695" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592", "_status": "success", "_upstream": "https://github.com/jhorzek/lesssem", "_commit": { "id": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "author": "Jannik Orzek <45204741+jhorzek@users.noreply.github.com>", "committer": "GitHub ", "message": "Merge pull request #382 from jhorzek/update_rcpp\n\n", "time": 1760756745 }, "_maintainer": { "name": "Jannik H. Orzek", "email": "jannik.orzek@mailbox.org", "login": "jhorzek", "description": "Consultant at Factworks", "uuid": 45204741, "orcid": "0000-0002-3123-2248" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "lavaan", "role": "Depends" }, { "package": "methods", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "RcppParallel", "role": "LinkingTo" }, { "package": "Rcpp", "version": ">= 1.0.8", "role": "Imports" }, { "package": "RcppArmadillo", "role": "Imports" }, { "package": "RcppParallel", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "ggrepel", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "stringr", "role": "Imports" }, { "package": "numDeriv", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "mvtnorm", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "plotly", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "Rsolnp", "role": "Suggests" } ], "_owner": "jhorzek", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-32", "n": 1 }, { "week": "2025-35", "n": 1 }, { "week": "2025-42", "n": 1 } ], "_tags": [], "_topics": [ "lasso", "psychometrics", "regularization", "regularized-structural-equation-model", "sem", "structural-equation-modeling", "openblas", "cpp", "openmp" ], "_stars": 7, "_contributors": [ { "user": "jhorzek", "count": 920, "uuid": 45204741 }, { "user": "olivroy", "count": 1, "uuid": 52606734 } ], "_userbio": { "uuid": 45204741, "type": "user", "name": "Jannik Orzek", "followers": 33, "description": "Consultant at Factworks" }, "_downloads": { "count": 321, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/lessSEM" }, "_devurl": "https://github.com/jhorzek/lesssem", "_pkgdown": "https://jhorzek.github.io/lessSEM/", "_searchresults": 182, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/lessSEM.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/jhorzek/lesssem", "_realowner": "jhorzek", "_cranurl": true, "_releases": [ { "version": "1.4.16", "date": "2023-04-06" }, { "version": "1.5.2", "date": "2023-06-25" }, { "version": "1.5.4", "date": "2024-01-09" }, { "version": "1.5.5", "date": "2024-01-22" }, { "version": "1.5.6", "date": "2025-08-25" }, { "version": "1.5.7", "date": "2025-10-18" } ], "_exports": [ "adaptiveLasso", "addCappedL1", "addElasticNet", "addLasso", "addLsp", "addMcp", "addScad", "AIC", "bfgs", "BIC", "cappedL1", "coef", "controlBFGS", "controlGlmnet", "controlIsta", "covariances", "createSubsets", "curveLambda", "cvAdaptiveLasso", "cvCappedL1", "cvElasticNet", "cvLasso", "cvLsp", "cvMcp", "cvRidge", "cvRidgeBfgs", "cvScad", "cvScaler", "cvSmoothAdaptiveLasso", "cvSmoothElasticNet", "cvSmoothLasso", "elasticNet", "estimates", "fit", "fitIndices", "getLavaanParameters", "getTuningParameterConfiguration", "gpAdaptiveLasso", "gpAdaptiveLassoCpp", "gpCappedL1", "gpCappedL1Cpp", "gpElasticNet", "gpElasticNetCpp", "gpLasso", "gpLassoCpp", "gpLsp", "gpLspCpp", "gpMcp", "gpMcpCpp", "gpRidge", "gpRidgeCpp", "gpScad", "gpScadCpp", "lasso", "lavaan2lslxLabels", "lessSEM2Lavaan", "loadings", "lsp", "makePtrs", "mcp", "mixedPenalty", "modifyModel", "newTau", "plot", "regressions", "regsem2LavaanParameters", "ridge", "ridgeBfgs", "scad", "show", "simulateExampleData", "smoothAdaptiveLasso", "smoothElasticNet", "smoothLasso", "stabilitySelection", "summary", "variances" ], "_help": [ { "page": "dot-adaptBreakingForWls", "title": ".adaptBreakingForWls", "topics": [ ".adaptBreakingForWls" ] }, { "page": "dot-checkPenalties", "title": ".checkPenalties", "topics": [ ".checkPenalties" ] }, { "page": "dot-labelLavaanParameters", "title": ".labelLavaanParameters", "topics": [ ".labelLavaanParameters" ] }, { "page": "dot-updateLavaan", "title": ".updateLavaan", "topics": [ ".updateLavaan" ] }, { "page": "dot-useElasticNet", "title": ".useElasticNet", "topics": [ ".useElasticNet" ] }, { "page": "adaptiveLasso", "title": "adaptiveLasso", "topics": [ "adaptiveLasso" ] }, { "page": "addCappedL1", "title": "addCappedL1", "topics": [ "addCappedL1" ] }, { "page": "addElasticNet", "title": "addElasticNet", "topics": [ "addElasticNet" ] }, { "page": "addLasso", "title": "addLasso", "topics": [ "addLasso" ] }, { "page": "addLsp", "title": "addLsp", "topics": [ "addLsp" ] }, { "page": "addMcp", "title": "addMcp", "topics": [ "addMcp" ] }, { "page": "addScad", "title": "addScad", "topics": [ "addScad" ] }, { "page": "AIC-gpRegularized-method", "title": "AIC", "topics": [ "AIC,gpRegularized-method" ] }, { "page": "AIC-Rcpp_mgSEM-method", "title": "AIC", "topics": [ "AIC,Rcpp_mgSEM-method" ] }, { "page": "AIC-Rcpp_SEMCpp-method", "title": "AIC", "topics": [ "AIC,Rcpp_SEMCpp-method" ] }, { "page": "AIC-regularizedSEM-method", "title": "AIC", "topics": [ "AIC,regularizedSEM-method" ] }, { "page": "AIC-regularizedSEMMixedPenalty-method", "title": "AIC", "topics": [ "AIC,regularizedSEMMixedPenalty-method" ] }, { "page": "bfgs", "title": "bfgs", "topics": [ "bfgs" ] }, { "page": "bfgsEnet", "title": "smoothly approximated elastic net", "topics": [ "bfgsEnet" ] }, { "page": "bfgsEnetMgSEM", "title": "smoothly approximated elastic net", "topics": [ "bfgsEnetMgSEM" ] }, { "page": "bfgsEnetSEM", "title": "smoothly approximated elastic net", "topics": [ "bfgsEnetSEM" ] }, { "page": "BIC-gpRegularized-method", "title": "BIC", "topics": [ "BIC,gpRegularized-method" ] }, { "page": "BIC-Rcpp_mgSEM-method", "title": "BIC", "topics": [ "BIC,Rcpp_mgSEM-method" ] }, { "page": "BIC-Rcpp_SEMCpp-method", "title": "BIC", "topics": [ "BIC,Rcpp_SEMCpp-method" ] }, { "page": "BIC-regularizedSEM-method", "title": "BIC", "topics": [ "BIC,regularizedSEM-method" ] }, { "page": "BIC-regularizedSEMMixedPenalty-method", "title": "BIC", "topics": [ "BIC,regularizedSEMMixedPenalty-method" ] }, { "page": "callFitFunction", "title": "callFitFunction", "topics": [ "callFitFunction" ] }, { "page": "cappedL1", "title": "cappedL1", "topics": [ "cappedL1" ] }, { "page": "coef-cvRegularizedSEM-method", "title": "coef", "topics": [ "coef,cvRegularizedSEM-method" ] }, { "page": "coef-gpRegularized-method", "title": "coef", "topics": [ "coef,gpRegularized-method" ] }, { "page": "coef-Rcpp_mgSEM-method", "title": "coef", "topics": [ "coef,Rcpp_mgSEM-method" ] }, { "page": "coef-Rcpp_SEMCpp-method", "title": "coef", "topics": [ "coef,Rcpp_SEMCpp-method" ] }, { "page": "coef-regularizedSEM-method", "title": "coef", "topics": [ "coef,regularizedSEM-method" ] }, { "page": "coef-regularizedSEMMixedPenalty-method", "title": "coef", "topics": [ "coef,regularizedSEMMixedPenalty-method" ] }, { "page": "controlBFGS", "title": "controlBFGS", "topics": [ "controlBFGS" ] }, { "page": "controlGlmnet", "title": "controlGlmnet", "topics": [ "controlGlmnet" ] }, { "page": "controlIsta", "title": "controlIsta", "topics": [ "controlIsta" ] }, { "page": "covariances", "title": "covariances", "topics": [ "covariances" ] }, { "page": "createSubsets", "title": "createSubsets", "topics": [ "createSubsets" ] }, { "page": "curveLambda", "title": "curveLambda", "topics": [ "curveLambda" ] }, { "page": "cvAdaptiveLasso", "title": "cvAdaptiveLasso", "topics": [ "cvAdaptiveLasso" ] }, { "page": "cvCappedL1", "title": "cvCappedL1", "topics": [ "cvCappedL1" ] }, { "page": "cvElasticNet", "title": "cvElasticNet", "topics": [ "cvElasticNet" ] }, { "page": "cvLasso", "title": "cvLasso", "topics": [ "cvLasso" ] }, { "page": "cvLsp", "title": "cvLsp", "topics": [ "cvLsp" ] }, { "page": "cvMcp", "title": "cvMcp", "topics": [ "cvMcp" ] }, { "page": "cvRegularizedSEM-class", "title": "Class for cross-validated regularized SEM", "topics": [ "cvRegularizedSEM-class" ] }, { "page": "cvRidge", "title": "cvRidge", "topics": [ "cvRidge" ] }, { "page": "cvRidgeBfgs", "title": "cvRidgeBfgs", "topics": [ "cvRidgeBfgs" ] }, { "page": "cvScad", "title": "cvScad", "topics": [ "cvScad" ] }, { "page": "cvScaler", "title": "cvScaler", "topics": [ "cvScaler" ] }, { "page": "cvSmoothAdaptiveLasso", "title": "cvSmoothAdaptiveLasso", "topics": [ "cvSmoothAdaptiveLasso" ] }, { "page": "cvSmoothElasticNet", "title": "cvSmoothElasticNet", "topics": [ "cvSmoothElasticNet" ] }, { "page": "cvSmoothLasso", "title": "cvSmoothLasso", "topics": [ "cvSmoothLasso" ] }, { "page": "elasticNet", "title": "elasticNet", "topics": [ "elasticNet" ] }, { "page": "estimates", "title": "S4 method to exract the estimates of an object", "topics": [ "estimates" ] }, { "page": "estimates-cvRegularizedSEM-method", "title": "estimates", "topics": [ "estimates,cvRegularizedSEM-method" ] }, { "page": "estimates-regularizedSEM-method", "title": "estimates", "topics": [ "estimates,regularizedSEM-method" ] }, { "page": "estimates-regularizedSEMMixedPenalty-method", "title": "estimates", "topics": [ "estimates,regularizedSEMMixedPenalty-method" ] }, { "page": "fit", "title": "fit", "topics": [ "fit" ] }, { "page": "fitIndices", "title": "S4 method to compute fit indices (e.g., AIC, BIC, ...)", "topics": [ "fitIndices" ] }, { "page": "fitIndices-cvRegularizedSEM-method", "title": "fitIndices", "topics": [ "fitIndices,cvRegularizedSEM-method" ] }, { "page": "fitIndices-regularizedSEM-method", "title": "fitIndices", "topics": [ "fitIndices,regularizedSEM-method" ] }, { "page": "fitIndices-regularizedSEMMixedPenalty-method", "title": "fitIndices", "topics": [ "fitIndices,regularizedSEMMixedPenalty-method" ] }, { "page": "getLavaanParameters", "title": "getLavaanParameters", "topics": [ "getLavaanParameters" ] }, { "page": "getTuningParameterConfiguration", "title": "getTuningParameterConfiguration", "topics": [ "getTuningParameterConfiguration" ] }, { "page": "glmnetCappedL1MgSEM", "title": "CappedL1 optimization with glmnet optimizer", "topics": [ "glmnetCappedL1MgSEM" ] }, { "page": "glmnetCappedL1SEM", "title": "CappedL1 optimization with glmnet optimizer", "topics": [ "glmnetCappedL1SEM" ] }, { "page": "glmnetEnetGeneralPurpose", "title": "elastic net optimization with glmnet optimizer", "topics": [ "glmnetEnetGeneralPurpose" ] }, { "page": "glmnetEnetGeneralPurposeCpp", "title": "elastic net optimization with glmnet optimizer", "topics": [ "glmnetEnetGeneralPurposeCpp" ] }, { "page": "glmnetEnetMgSEM", "title": "elastic net optimization with glmnet optimizer", "topics": [ "glmnetEnetMgSEM" ] }, { "page": "glmnetEnetSEM", "title": "elastic net optimization with glmnet optimizer", "topics": [ "glmnetEnetSEM" ] }, { "page": "glmnetLspMgSEM", "title": "lsp optimization with glmnet optimizer", "topics": [ "glmnetLspMgSEM" ] }, { "page": "glmnetLspSEM", "title": "lsp optimization with glmnet optimizer", "topics": [ "glmnetLspSEM" ] }, { "page": "glmnetMcpMgSEM", "title": "mcp optimization with glmnet optimizer", "topics": [ "glmnetMcpMgSEM" ] }, { "page": "glmnetMcpSEM", "title": "mcp optimization with glmnet optimizer", "topics": [ "glmnetMcpSEM" ] }, { "page": "glmnetMixedMgSEM", "title": "mixed optimization with glmnet optimizer", "topics": [ "glmnetMixedMgSEM" ] }, { "page": "glmnetMixedPenaltyGeneralPurpose", "title": "mixed optimization with glmnet optimizer", "topics": [ "glmnetMixedPenaltyGeneralPurpose" ] }, { "page": "glmnetMixedPenaltyGeneralPurposeCpp", "title": "mixed optimization with glmnet optimizer", "topics": [ "glmnetMixedPenaltyGeneralPurposeCpp" ] }, { "page": "glmnetMixedSEM", "title": "mixed optimization with glmnet optimizer", "topics": [ "glmnetMixedSEM" ] }, { "page": "glmnetScadMgSEM", "title": "scad optimization with glmnet optimizer", "topics": [ "glmnetScadMgSEM" ] }, { "page": "glmnetScadSEM", "title": "scad optimization with glmnet optimizer", "topics": [ "glmnetScadSEM" ] }, { "page": "gpAdaptiveLasso", "title": "gpAdaptiveLasso", "topics": [ "gpAdaptiveLasso" ] }, { "page": "gpAdaptiveLassoCpp", "title": "gpAdaptiveLassoCpp", "topics": [ "gpAdaptiveLassoCpp" ] }, { "page": "gpCappedL1", "title": "gpCappedL1", "topics": [ "gpCappedL1" ] }, { "page": "gpCappedL1Cpp", "title": "gpCappedL1Cpp", "topics": [ "gpCappedL1Cpp" ] }, { "page": "gpElasticNet", "title": "gpElasticNet", "topics": [ "gpElasticNet" ] }, { "page": "gpElasticNetCpp", "title": "gpElasticNetCpp", "topics": [ "gpElasticNetCpp" ] }, { "page": "gpLasso", "title": "gpLasso", "topics": [ "gpLasso" ] }, { "page": "gpLassoCpp", "title": "gpLassoCpp", "topics": [ "gpLassoCpp" ] }, { "page": "gpLsp", "title": "gpLsp", "topics": [ "gpLsp" ] }, { "page": "gpLspCpp", "title": "gpLspCpp", "topics": [ "gpLspCpp" ] }, { "page": "gpMcp", "title": "gpMcp", "topics": [ "gpMcp" ] }, { "page": "gpMcpCpp", "title": "gpMcpCpp", "topics": [ "gpMcpCpp" ] }, { "page": "gpRegularized-class", "title": "Class for regularized model using general purpose optimization interface", "topics": [ "gpRegularized-class" ] }, { "page": "gpRidge", "title": "gpRidge", "topics": [ "gpRidge" ] }, { "page": "gpRidgeCpp", "title": "gpRidgeCpp", "topics": [ "gpRidgeCpp" ] }, { "page": "gpScad", "title": "gpScad", "topics": [ "gpScad" ] }, { "page": "gpScadCpp", "title": "gpScadCpp", "topics": [ "gpScadCpp" ] }, { "page": "istaCappedL1mgSEM", "title": "cappedL1 optimization with ista", "topics": [ "istaCappedL1mgSEM" ] }, { "page": "istaCappedL1SEM", "title": "cappedL1 optimization with ista", "topics": [ "istaCappedL1SEM" ] }, { "page": "istaEnetGeneralPurpose", "title": "elastic net optimization with ista", "topics": [ "istaEnetGeneralPurpose" ] }, { "page": "istaEnetGeneralPurposeCpp", "title": "elastic net optimization with ista", "topics": [ "istaEnetGeneralPurposeCpp" ] }, { "page": "istaEnetMgSEM", "title": "elastic net optimization with ista optimizer", "topics": [ "istaEnetMgSEM" ] }, { "page": "istaEnetSEM", "title": "elastic net optimization with ista optimizer", "topics": [ "istaEnetSEM" ] }, { "page": "istaLSPMgSEM", "title": "lsp optimization with ista", "topics": [ "istaLSPMgSEM" ] }, { "page": "istaLSPSEM", "title": "lsp optimization with ista", "topics": [ "istaLSPSEM" ] }, { "page": "istaMcpMgSEM", "title": "mcp optimization with ista", "topics": [ "istaMcpMgSEM" ] }, { "page": "istaMcpSEM", "title": "mcp optimization with ista", "topics": [ "istaMcpSEM" ] }, { "page": "istaMixedPenaltyGeneralPurpose", "title": "mixed penalty optimization with ista", "topics": [ "istaMixedPenaltyGeneralPurpose" ] }, { "page": "istaMixedPenaltyGeneralPurposeCpp", "title": "mixed penalty optimization with ista", "topics": [ "istaMixedPenaltyGeneralPurposeCpp" ] }, { "page": "istaMixedPenaltymgSEM", "title": "mixed penalty optimization with ista", "topics": [ "istaMixedPenaltymgSEM" ] }, { "page": "istaMixedPenaltySEM", "title": "mixed penalty optimization with ista", "topics": [ "istaMixedPenaltySEM" ] }, { "page": "istaScadMgSEM", "title": "scad optimization with ista", "topics": [ "istaScadMgSEM" ] }, { "page": "istaScadSEM", "title": "scad optimization with ista", "topics": [ "istaScadSEM" ] }, { "page": "lasso", "title": "lasso", "topics": [ "lasso" ] }, { "page": "lavaan2lslxLabels", "title": "lavaan2lslxLabels", "topics": [ "lavaan2lslxLabels" ] }, { "page": "lessSEM2Lavaan", "title": "lessSEM2Lavaan", "topics": [ "lessSEM2Lavaan" ] }, { "page": "lessSEMCoef-class", "title": "Class for the coefficients estimated by lessSEM.", "topics": [ "lessSEMCoef-class" ] }, { "page": "loadings", "title": "loadings", "topics": [ "loadings" ] }, { "page": "logicalMatch", "title": "logicalMatch", "topics": [ "logicalMatch" ] }, { "page": "logLik-Rcpp_mgSEM-method", "title": "logLik", "topics": [ "logLik,Rcpp_mgSEM-method" ] }, { "page": "logLik-Rcpp_SEMCpp-method", "title": "logLik", "topics": [ "logLik,Rcpp_SEMCpp-method" ] }, { "page": "logLikelihood-class", "title": "Class for log-likelihood of regularized SEM. Note: we define a custom logLik - Function because the generic one is using df = number of parameters which might be confusing.", "topics": [ "logLikelihood-class" ] }, { "page": "lsp", "title": "lsp", "topics": [ "lsp" ] }, { "page": "makePtrs", "title": "makePtrs", "topics": [ "makePtrs" ] }, { "page": "mcp", "title": "mcp", "topics": [ "mcp" ] }, { "page": "mcpPenalty_C", "title": "mcpPenalty_C", "topics": [ "mcpPenalty_C" ] }, { "page": "mgSEM", "title": "mgSEM class", "topics": [ "mgSEM" ] }, { "page": "mixedPenalty", "title": "mixedPenalty", "topics": [ "mixedPenalty" ] }, { "page": "modifyModel", "title": "modifyModel", "topics": [ "modifyModel" ] }, { "page": "newTau", "title": "newTau", "topics": [ "newTau" ] }, { "page": "plot-cvRegularizedSEM-missing-method", "title": "plots the cross-validation fits", "topics": [ "plot,cvRegularizedSEM,missing-method" ] }, { "page": "plot-gpRegularized-missing-method", "title": "plots the regularized and unregularized parameters for all levels of lambda", "topics": [ "plot,gpRegularized,missing-method" ] }, { "page": "plot-regularizedSEM-missing-method", "title": "plots the regularized and unregularized parameters for all levels of lambda", "topics": [ "plot,regularizedSEM,missing-method" ] }, { "page": "plot-stabSel-missing-method", "title": "plots the regularized and unregularized parameters for all levels of the tuning parameters", "topics": [ "plot,stabSel,missing-method" ] }, { "page": "regressions", "title": "regressions", "topics": [ "regressions" ] }, { "page": "regsem2LavaanParameters", "title": "regsem2LavaanParameters", "topics": [ "regsem2LavaanParameters" ] }, { "page": "regularizedSEM-class", "title": "Class for regularized SEM", "topics": [ "regularizedSEM-class" ] }, { "page": "regularizedSEMMixedPenalty-class", "title": "Class for regularized SEM", "topics": [ "regularizedSEMMixedPenalty-class" ] }, { "page": "ridge", "title": "ridge", "topics": [ "ridge" ] }, { "page": "ridgeBfgs", "title": "ridgeBfgs", "topics": [ "ridgeBfgs" ] }, { "page": "scad", "title": "scad", "topics": [ "scad" ] }, { "page": "scadPenalty_C", "title": "scadPenalty_C", "topics": [ "scadPenalty_C" ] }, { "page": "SEMCpp", "title": "SEMCpp class", "topics": [ "SEMCpp" ] }, { "page": "show-cvRegularizedSEM-method", "title": "Show method for objects of class 'cvRegularizedSEM'.", "topics": [ "show,cvRegularizedSEM-method" ] }, { "page": "show-gpRegularized-method", "title": "show", "topics": [ "show,gpRegularized-method" ] }, { "page": "show-lessSEMCoef-method", "title": "show", "topics": [ "show,lessSEMCoef-method" ] }, { "page": "show-logLikelihood-method", "title": "show", "topics": [ "show,logLikelihood-method" ] }, { "page": "show-Rcpp_mgSEM-method", "title": "show", "topics": [ "show,Rcpp_mgSEM-method" ] }, { "page": "show-Rcpp_SEMCpp-method", "title": "show", "topics": [ "show,Rcpp_SEMCpp-method" ] }, { "page": "show-regularizedSEM-method", "title": "show", "topics": [ "show,regularizedSEM-method" ] }, { "page": "show-regularizedSEMMixedPenalty-method", "title": "show", "topics": [ "show,regularizedSEMMixedPenalty-method" ] }, { "page": "show-stabSel-method", "title": "show", "topics": [ "show,stabSel-method" ] }, { "page": "simulateExampleData", "title": "simulateExampleData", "topics": [ "simulateExampleData" ] }, { "page": "smoothAdaptiveLasso", "title": "smoothAdaptiveLasso", "topics": [ "smoothAdaptiveLasso" ] }, { "page": "smoothElasticNet", "title": "smoothElasticNet", "topics": [ "smoothElasticNet" ] }, { "page": "smoothLasso", "title": "smoothLasso", "topics": [ "smoothLasso" ] }, { "page": "stabilitySelection", "title": "stabilitySelection", "topics": [ "stabilitySelection" ] }, { "page": "stabSel-class", "title": "Class for stability selection", "topics": [ "stabSel-class" ] }, { "page": "summary-cvRegularizedSEM-method", "title": "summary method for objects of class 'cvRegularizedSEM'.", "topics": [ "summary,cvRegularizedSEM-method" ] }, { "page": "summary-gpRegularized-method", "title": "summary", "topics": [ "summary,gpRegularized-method" ] }, { "page": "summary-regularizedSEM-method", "title": "summary", "topics": [ "summary,regularizedSEM-method" ] }, { "page": "summary-regularizedSEMMixedPenalty-method", "title": "summary", "topics": [ "summary,regularizedSEMMixedPenalty-method" ] }, { "page": "variances", "title": "variances", "topics": [ "variances" ] } ], "_pkglogo": "https://github.com/jhorzek/lesssem/raw/HEAD/man/figures/logo.svg", "_readme": "https://github.com/jhorzek/lesssem/raw/HEAD/README.md", "_rundeps": [ "cli", "cpp11", "dplyr", "farver", "generics", "ggplot2", "ggrepel", "glue", "gtable", "isoband", "labeling", "lavaan", "lifecycle", "magrittr", "MASS", "mnormt", "mvtnorm", "numDeriv", "pbivnorm", "pillar", "pkgconfig", "purrr", "quadprog", "R6", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppParallel", "rlang", "S7", "scales", "stringi", "stringr", "tibble", "tidyr", "tidyselect", "utf8", "vctrs", "viridisLite", "withr" ], "_sysdeps": [ { "shlib": "liblapack", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.32+ds-5", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.32+ds-5", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "16-20260322-1ubuntu1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "16-20260322-1ubuntu1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_vignettes": [ { "source": "Definition-Variables-and-Multi-Group-SEM.Rmd", "filename": "Definition-Variables-and-Multi-Group-SEM.html", "title": "Definition-Variables-and-Multi-Group-SEM", "engine": "knitr::rmarkdown", "headings": [ "First Step: Setting up a Multi-Group Model", "Second Step: Pass the Model to lessSEM", "Different Models with Shared Parameter Labels", "Regularized Multi-Group Models", "Regularizing Differences Between Parameters using lessSEM", "Cross-Validation", "Definition Variables", "The details ...", "Bibliography" ], "created": "2022-12-07 14:44:26", "modified": "2024-01-09 10:43:21", "commits": 8 }, { "source": "General-Purpose-Optimization.Rmd", "filename": "General-Purpose-Optimization.html", "title": "General-Purpose-Optimization", "engine": "knitr::rmarkdown", "headings": [ "The example", "The first approach: Interfacing from R", "The second approach: Using C++ function pointers", "1. Creating a fitting function and a gradient function", "2. Adapting the functions to the constraints", "Step 3: Creating pointers to our functions", "Optimizing the model", "The third and fourth approach: Including the header files" ], "created": "2022-07-25 08:28:05", "modified": "2024-01-09 10:43:21", "commits": 12 }, { "source": "lessSEM.Rmd", "filename": "lessSEM.html", "title": "lessSEM", "engine": "knitr::rmarkdown", "headings": [ "Regularized Structural Equation Modeling", "Objectives", "Regularizing SEM", "Setting up a model", "Selecting a model", "Cross-Validation", "Missing Data", "Using multiple cores", "Changing the optimizer", "Parameter transformations", "Experimental Features", "From lessSEM to lavaan", "Multi-Group Models and Definition Variables", "Mixed Penalties", "More information", "References", "R - Packages / Software", "Penalty Functions", "Optimizer", "GLMNET", "Variants of ISTA", "LICENSE NOTE" ], "created": "2022-07-19 12:34:05", "modified": "2024-01-09 10:43:21", "commits": 19 }, { "source": "log-likelihood-gradients.Rmd", "filename": "log-likelihood-gradients.html", "title": "log-likelihood-gradients", "engine": "knitr::rmarkdown", "headings": [ "Ableitung der Log-Likelihood", "Element 1", "Element 2", "Fall 1: Der Parameter $\\theta_j$ ist in $\\pmb S$.", "Fall 2: Der Parameter $\\theta_j$ ist in $\\pmb A$.", "Fall 3: Der Parameter $\\theta_j$ ist in $\\pmb m$, wobei $\\pmb m$ die Mittelwertstruktur des SEM ist.", "Element 3", "Fall 3: Der Parameter $\\theta_j$ ist in $\\pmb m$." ], "created": "2022-08-26 14:43:52", "modified": "2023-03-16 14:07:38", "commits": 2 }, { "source": "Estimator-Settings.Rmd", "filename": "Estimator-Settings.html", "title": "Estimator-Settings", "engine": "knitr::rmarkdown", "headings": [ "Maximum Likelihood Estimation", "Missing data", "Weighted Least Squares", "Ordered data", "Bibliography" ], "created": "2023-06-24 14:06:02", "modified": "2023-06-24 14:06:02", "commits": 1 }, { "source": "Mixed-Penalties.Rmd", "filename": "Mixed-Penalties.html", "title": "Mixed Penalties", "engine": "knitr::rmarkdown", "headings": [ "Getting Started", "Using ista", "Bibliography" ], "created": "2023-01-27 15:17:40", "modified": "2024-01-09 10:43:21", "commits": 9 }, { "source": "Parameter-transformations.Rmd", "filename": "Parameter-transformations.html", "title": "Parameter-transformations", "engine": "knitr::rmarkdown", "headings": [ "Motivation", "Using Regularization", "Setting up the Model", "Some Guidelines", "Further Examples", "Looking under the hood", "Making use of C++", "How it is implemented", "Bibliography" ], "created": "2022-08-22 08:23:16", "modified": "2024-01-09 10:43:21", "commits": 19 }, { "source": "SCAD-and-MCP.Rmd", "filename": "SCAD-and-MCP.html", "title": "SCAD-and-MCP", "engine": "knitr::rmarkdown", "headings": [ "SCAD", "Assume: $|x| \\leq \\lambda$", "Assume: $\\lambda < |x| \\leq \\lambda\\theta$", "Assume: $|x| \\geq \\theta\\lambda$", "combining the solutions", "MCP", "Assume: $|x| \\leq \\theta\\lambda$", "Assume that the solution is given by $x \\geq 0$.", "Assume that the solution is given by $x \\leq 0$.", "Assume $|x| \\geq \\theta\\lambda$", "References" ], "created": "2022-07-11 14:35:33", "modified": "2023-03-16 14:07:38", "commits": 4 }, { "source": "The-optimizer-interface.Rmd", "filename": "The-optimizer-interface.html", "title": "The-optimizer-interface", "engine": "knitr::rmarkdown", "headings": [], "created": "2022-07-15 07:38:32", "modified": "2023-06-24 14:06:02", "commits": 7 }, { "source": "The-Structural-Equation-Model.Rmd", "filename": "The-Structural-Equation-Model.html", "title": "The-Structural-Equation-Model", "engine": "knitr::rmarkdown", "headings": [ "From lavaan to lessSEM", "Working with the Rcpp_SEMCpp class", "Accessing the Parameters", "Changing the Parameters", "Fitting the model", "Computing the gradients", "Computing the Hessian", "Computing the Scores", "Using lessSEM with general purpose optimizers", "References" ], "created": "2022-08-12 07:13:44", "modified": "2024-01-09 10:43:21", "commits": 7 } ], "_score": 7.281260687055013, "_indexed": true, "_nocasepkg": "lesssem", "_universes": [ "jhorzek" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.5.7", "date": "2026-07-15T07:29:48.000Z", "distro": "resolute", "arch": "aarch64", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/ff9fae482afe51334338d64a91f88cf4939fe5dfa327e1639a3d8cbeda7e4ad7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" }, { "r": "4.7.0", "os": "linux", "version": "1.5.7", "date": "2026-07-15T07:29:37.000Z", "distro": "resolute", "arch": "x86_64", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/9d3577d8fbedfcdc9e675d06c51a5104849f82734dee1d3106ebc5138bc06ea6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" }, { "r": "4.6.1", "os": "linux", "version": "1.5.7", "date": "2026-07-15T07:30:11.000Z", "distro": "resolute", "arch": "aarch64", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/bf50359e686c066909c85a15900ec391d3447bbeab5466a7d57dea666f8245a2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" }, { "r": "4.6.1", "os": "linux", "version": "1.5.7", "date": "2026-07-15T07:30:00.000Z", "distro": "resolute", "arch": "x86_64", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/2cc38da71f7179e7ad26a1480b5a579c81854d6a54fdce5833d7fb6f147309c7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" }, { "r": "4.5.3", "os": "mac", "version": "1.5.7", "date": "2026-07-15T07:30:50.000Z", "arch": "aarch64", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/839bc75330f39be0a0b1cc84acd79b188fbfbf2a69a142b1048f2b1bee64e4e3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" }, { "r": "4.5.3", "os": "mac", "version": "1.5.7", "date": "2026-07-15T07:32:00.000Z", "arch": "x86_64", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/e84fa5beb51c1e1ea7d1c892808eaa86cd3928754ac00563d9f32352f7691df8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" }, { "r": "4.6.1", "os": "mac", "version": "1.5.7", "date": "2026-07-15T07:29:19.000Z", "arch": "aarch64", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/b5b6b93981a0f0b85369585bc96fefb71ca2356b14b3d47a9dbf5ee8dc118988", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" }, { "r": "4.6.1", "os": "mac", "version": "1.5.7", "date": "2026-07-15T07:32:06.000Z", "arch": "x86_64", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/d82c0fd0bc05efff9b5a442bdf1f92e989c79ad0437c76a04fd09fba0004b115", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" }, { "r": "4.6.0", "os": "wasm", "version": "1.5.7", "date": "2026-07-15T07:29:33.000Z", "arch": "emscripten", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/718729ada243a1d4e6efe6e81a4a7b8752124c633c173991d1c4f1b2017ed922", "status": "success", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" }, { "r": "4.7.0", "os": "win", "version": "1.5.7", "date": "2026-07-15T07:28:35.000Z", "arch": "x86_64", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/b59e375e858b628388a5c8376a878b05e734240590ccd57b6cd4d092e034557c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" }, { "r": "4.5.3", "os": "win", "version": "1.5.7", "date": "2026-07-15T07:28:51.000Z", "arch": "x86_64", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/ec14571ae07e4ac3e2f8c7cdec3aedefb509f317a15d4b7515bb37fba5a09ad2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" }, { "r": "4.6.1", "os": "win", "version": "1.5.7", "date": "2026-07-15T07:28:35.000Z", "arch": "x86_64", "commit": "fdbdcf874e514ccdfae9614e8b083bf59f5188c6", "fileid": "https://r2.ropensci.org/caee9917289d071c05d4b6496346d67accfe82c13c19c95fe72f50370d022ac9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jhorzek/actions/runs/29396904592" } ] }