This package is considered a duplicate. The official version of this package is found at:https://jhorzek.r-universe.dev/lessSEM

Package: lessSEM 1.5.5

Jannik H. Orzek

lessSEM: Non-Smooth Regularization for Structural Equation Models

Provides regularized structural equation modeling (regularized SEM) with non-smooth penalty functions (e.g., lasso) building on 'lavaan'. The package is heavily inspired by the ['regsem'](<https://github.com/Rjacobucci/regsem>) and ['lslx'](<https://github.com/psyphh/lslx>) packages.

Authors:Jannik H. Orzek [aut, cre, cph]

lessSEM_1.5.5.tar.gz
lessSEM_1.5.5.tar.gz(r-4.5-noble)lessSEM_1.5.5.tar.gz(r-4.4-noble)
lessSEM_1.5.5.tgz(r-4.4-emscripten)lessSEM_1.5.5.tgz(r-4.3-emscripten)
lessSEM.pdf |lessSEM.html✨
lessSEM/json (API)
NEWS

# Install 'lessSEM' in R:

install.packages('lessSEM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jhorzek/lesssem/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

5.34 score 221 scripts 193 downloads 77 exports 45 dependencies

Last updated 10 months agofrom:b11049eedd. Checks:OK: 1 NOTE: 1. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Oct 31 2024
R-4.5-linux-x86_64	NOTE	Oct 31 2024

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

Dependencies:cli colorspace cpp11 dplyr fansi farver generics ggplot2 glue gtable isoband labeling lattice lavaan lifecycle magrittr MASS Matrix mgcv mnormt munsell mvtnorm nlme numDeriv pbivnorm pillar pkgconfig purrr quadprog R6 RColorBrewer Rcpp RcppArmadillo RcppParallel rlang scales stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

Definition-Variables-and-Multi-Group-SEM

Rendered fromDefinition-Variables-and-Multi-Group-SEM.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-01-23
Started: 2023-04-06

General-Purpose-Optimization

Rendered fromGeneral-Purpose-Optimization.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-01-23
Started: 2023-04-06

lessSEM

Rendered fromlessSEM.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-01-23
Started: 2023-04-06

log-likelihood-gradients

Rendered fromlog-likelihood-gradients.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-01-23
Started: 2023-04-06

Estimator-Settings

Rendered fromEstimator-Settings.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-01-23
Started: 2023-06-25

Mixed Penalties

Rendered fromMixed-Penalties.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-01-23
Started: 2023-04-06

Parameter-transformations

Rendered fromParameter-transformations.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-01-23
Started: 2023-04-06

SCAD-and-MCP

Rendered fromSCAD-and-MCP.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-01-23
Started: 2023-04-06

The-optimizer-interface

Rendered fromThe-optimizer-interface.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-01-23
Started: 2023-04-06

The-Structural-Equation-Model

Rendered fromThe-Structural-Equation-Model.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-01-23
Started: 2023-04-06

Citation

Readme and manuals

Help Manual

Help page	Topics
.adaptBreakingForWls	.adaptBreakingForWls
.checkPenalties	.checkPenalties
.labelLavaanParameters	.labelLavaanParameters
.updateLavaan	.updateLavaan
.useElasticNet	.useElasticNet
adaptiveLasso	adaptiveLasso
addCappedL1	addCappedL1
addElasticNet	addElasticNet
addLasso	addLasso
addLsp	addLsp
addMcp	addMcp
addScad	addScad
AIC	AIC,gpRegularized-method
AIC	AIC,Rcpp_mgSEM-method
AIC	AIC,Rcpp_SEMCpp-method
AIC	AIC,regularizedSEM-method
AIC	AIC,regularizedSEMMixedPenalty-method
bfgs	bfgs
smoothly approximated elastic net	bfgsEnet
smoothly approximated elastic net	bfgsEnetMgSEM
smoothly approximated elastic net	bfgsEnetSEM
BIC	BIC,gpRegularized-method
BIC	BIC,Rcpp_mgSEM-method
BIC	BIC,Rcpp_SEMCpp-method
BIC	BIC,regularizedSEM-method
BIC	BIC,regularizedSEMMixedPenalty-method
callFitFunction	callFitFunction
cappedL1	cappedL1
coef	coef,cvRegularizedSEM-method
coef	coef,gpRegularized-method
coef	coef,Rcpp_mgSEM-method
coef	coef,Rcpp_SEMCpp-method
coef	coef,regularizedSEM-method
coef	coef,regularizedSEMMixedPenalty-method
controlBFGS	controlBFGS
controlGlmnet	controlGlmnet
controlIsta	controlIsta
covariances	covariances
createSubsets	createSubsets
curveLambda	curveLambda
cvAdaptiveLasso	cvAdaptiveLasso
cvCappedL1	cvCappedL1
cvElasticNet	cvElasticNet
cvLasso	cvLasso
cvLsp	cvLsp
cvMcp	cvMcp
Class for cross-validated regularized SEM	cvRegularizedSEM-class
cvRidge	cvRidge
cvRidgeBfgs	cvRidgeBfgs
cvScad	cvScad
cvScaler	cvScaler
cvSmoothAdaptiveLasso	cvSmoothAdaptiveLasso
cvSmoothElasticNet	cvSmoothElasticNet
cvSmoothLasso	cvSmoothLasso
elasticNet	elasticNet
S4 method to exract the estimates of an object	estimates
estimates	estimates,cvRegularizedSEM-method
estimates	estimates,regularizedSEM-method
estimates	estimates,regularizedSEMMixedPenalty-method
fit	fit
S4 method to compute fit indices (e.g., AIC, BIC, ...)	fitIndices
fitIndices	fitIndices,cvRegularizedSEM-method
fitIndices	fitIndices,regularizedSEM-method
fitIndices	fitIndices,regularizedSEMMixedPenalty-method
getLavaanParameters	getLavaanParameters
getTuningParameterConfiguration	getTuningParameterConfiguration
CappedL1 optimization with glmnet optimizer	glmnetCappedL1MgSEM
CappedL1 optimization with glmnet optimizer	glmnetCappedL1SEM
elastic net optimization with glmnet optimizer	glmnetEnetGeneralPurpose
elastic net optimization with glmnet optimizer	glmnetEnetGeneralPurposeCpp
elastic net optimization with glmnet optimizer	glmnetEnetMgSEM
elastic net optimization with glmnet optimizer	glmnetEnetSEM
lsp optimization with glmnet optimizer	glmnetLspMgSEM
lsp optimization with glmnet optimizer	glmnetLspSEM
mcp optimization with glmnet optimizer	glmnetMcpMgSEM
mcp optimization with glmnet optimizer	glmnetMcpSEM
mixed optimization with glmnet optimizer	glmnetMixedMgSEM
mixed optimization with glmnet optimizer	glmnetMixedPenaltyGeneralPurpose
mixed optimization with glmnet optimizer	glmnetMixedPenaltyGeneralPurposeCpp
mixed optimization with glmnet optimizer	glmnetMixedSEM
scad optimization with glmnet optimizer	glmnetScadMgSEM
scad optimization with glmnet optimizer	glmnetScadSEM
gpAdaptiveLasso	gpAdaptiveLasso
gpAdaptiveLassoCpp	gpAdaptiveLassoCpp
gpCappedL1	gpCappedL1
gpCappedL1Cpp	gpCappedL1Cpp
gpElasticNet	gpElasticNet
gpElasticNetCpp	gpElasticNetCpp
gpLasso	gpLasso
gpLassoCpp	gpLassoCpp
gpLsp	gpLsp
gpLspCpp	gpLspCpp
gpMcp	gpMcp
gpMcpCpp	gpMcpCpp
Class for regularized model using general purpose optimization interface	gpRegularized-class
gpRidge	gpRidge
gpRidgeCpp	gpRidgeCpp
gpScad	gpScad
gpScadCpp	gpScadCpp
cappedL1 optimization with ista	istaCappedL1mgSEM
cappedL1 optimization with ista	istaCappedL1SEM
elastic net optimization with ista	istaEnetGeneralPurpose
elastic net optimization with ista	istaEnetGeneralPurposeCpp
elastic net optimization with ista optimizer	istaEnetMgSEM
elastic net optimization with ista optimizer	istaEnetSEM
lsp optimization with ista	istaLSPMgSEM
lsp optimization with ista	istaLSPSEM
mcp optimization with ista	istaMcpMgSEM
mcp optimization with ista	istaMcpSEM
mixed penalty optimization with ista	istaMixedPenaltyGeneralPurpose
mixed penalty optimization with ista	istaMixedPenaltyGeneralPurposeCpp
mixed penalty optimization with ista	istaMixedPenaltymgSEM
mixed penalty optimization with ista	istaMixedPenaltySEM
scad optimization with ista	istaScadMgSEM
scad optimization with ista	istaScadSEM
lasso	lasso
lavaan2lslxLabels	lavaan2lslxLabels
lessSEM2Lavaan	lessSEM2Lavaan
Class for the coefficients estimated by lessSEM.	lessSEMCoef-class
loadings	loadings
logicalMatch	logicalMatch
logLik	logLik,Rcpp_mgSEM-method
logLik	logLik,Rcpp_SEMCpp-method
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.	logLikelihood-class
lsp	lsp
makePtrs	makePtrs
mcp	mcp
mcpPenalty_C	mcpPenalty_C
mgSEM class	mgSEM
mixedPenalty	mixedPenalty
modifyModel	modifyModel
newTau	newTau
plots the cross-validation fits	plot,cvRegularizedSEM,missing-method
plots the regularized and unregularized parameters for all levels of lambda	plot,gpRegularized,missing-method
plots the regularized and unregularized parameters for all levels of lambda	plot,regularizedSEM,missing-method
plots the regularized and unregularized parameters for all levels of the tuning parameters	plot,stabSel,missing-method
regressions	regressions
regsem2LavaanParameters	regsem2LavaanParameters
Class for regularized SEM	regularizedSEM-class
Class for regularized SEM	regularizedSEMMixedPenalty-class
ridge	ridge
ridgeBfgs	ridgeBfgs
scad	scad
scadPenalty_C	scadPenalty_C
SEMCpp class	SEMCpp
Show method for objects of class 'cvRegularizedSEM'.	show,cvRegularizedSEM-method
show	show,gpRegularized-method
show	show,lessSEMCoef-method
show	show,logLikelihood-method
show	show,Rcpp_mgSEM-method
show	show,Rcpp_SEMCpp-method
show	show,regularizedSEM-method
show	show,regularizedSEMMixedPenalty-method
show	show,stabSel-method
simulateExampleData	simulateExampleData
smoothAdaptiveLasso	smoothAdaptiveLasso
smoothElasticNet	smoothElasticNet
smoothLasso	smoothLasso
stabilitySelection	stabilitySelection
Class for stability selection	stabSel-class
summary method for objects of class 'cvRegularizedSEM'.	summary,cvRegularizedSEM-method
summary	summary,gpRegularized-method
summary	summary,regularizedSEM-method
summary	summary,regularizedSEMMixedPenalty-method
variances	variances

Usage by other packages (reverse dependencies)