R: Non-Smooth Regularization for Structural Equation Models

# Non-Smooth Regularization for Structural Equation Models

## Documentation for package ‘lessSEM’ version 1.5.7

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

A B C E F G I L M N P R S V misc

## -- A --

adaptiveLasso | adaptiveLasso
addCappedL1 | addCappedL1
addElasticNet | addElasticNet
addLasso | addLasso
addLsp | addLsp
addMcp | addMcp
addScad | addScad
AIC-method | AIC
AIC-method | AIC
AIC-method | AIC
AIC-method | AIC
AIC-method | AIC

## -- B --

bfgs | bfgs
bfgsEnet | smoothly approximated elastic net
bfgsEnetMgSEM | smoothly approximated elastic net
bfgsEnetSEM | smoothly approximated elastic net
BIC-method | BIC
BIC-method | BIC
BIC-method | BIC
BIC-method | BIC
BIC-method | BIC

## -- C --

callFitFunction | callFitFunction
cappedL1 | cappedL1
coef-method | coef
coef-method | coef
coef-method | coef
coef-method | coef
coef-method | coef
coef-method | coef
controlBFGS | controlBFGS
controlGlmnet | controlGlmnet
controlIsta | controlIsta
covariances | covariances
createSubsets | createSubsets
curveLambda | curveLambda
cvAdaptiveLasso | cvAdaptiveLasso
cvCappedL1 | cvCappedL1
cvElasticNet | cvElasticNet
cvLasso | cvLasso
cvLsp | cvLsp
cvMcp | cvMcp
cvRegularizedSEM-class | Class for cross-validated regularized SEM
cvRidge | cvRidge
cvRidgeBfgs | cvRidgeBfgs
cvScad | cvScad
cvScaler | cvScaler
cvSmoothAdaptiveLasso | cvSmoothAdaptiveLasso
cvSmoothElasticNet | cvSmoothElasticNet
cvSmoothLasso | cvSmoothLasso

## -- E --

elasticNet | elasticNet
estimates | S4 method to exract the estimates of an object
estimates-method | estimates
estimates-method | estimates
estimates-method | estimates

## -- F --

fit | fit
fitIndices | S4 method to compute fit indices (e.g., AIC, BIC, ...)
fitIndices-method | fitIndices
fitIndices-method | fitIndices
fitIndices-method | fitIndices

## -- G --

getLavaanParameters | getLavaanParameters
getTuningParameterConfiguration | getTuningParameterConfiguration
glmnetCappedL1MgSEM | CappedL1 optimization with glmnet optimizer
glmnetCappedL1SEM | CappedL1 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 | elastic net optimization with glmnet optimizer
glmnetLspMgSEM | lsp optimization with glmnet optimizer
glmnetLspSEM | lsp optimization with glmnet optimizer
glmnetMcpMgSEM | mcp optimization with glmnet optimizer
glmnetMcpSEM | mcp optimization with glmnet optimizer
glmnetMixedMgSEM | mixed optimization with glmnet optimizer
glmnetMixedPenaltyGeneralPurpose | mixed optimization with glmnet optimizer
glmnetMixedPenaltyGeneralPurposeCpp | mixed optimization with glmnet optimizer
glmnetMixedSEM | mixed optimization with glmnet optimizer
glmnetScadMgSEM | scad optimization with glmnet optimizer
glmnetScadSEM | scad optimization with glmnet optimizer
gpAdaptiveLasso | gpAdaptiveLasso
gpAdaptiveLassoCpp | gpAdaptiveLassoCpp
gpCappedL1 | gpCappedL1
gpCappedL1Cpp | gpCappedL1Cpp
gpElasticNet | gpElasticNet
gpElasticNetCpp | gpElasticNetCpp
gpLasso | gpLasso
gpLassoCpp | gpLassoCpp
gpLsp | gpLsp
gpLspCpp | gpLspCpp
gpMcp | gpMcp
gpMcpCpp | gpMcpCpp
gpRegularized-class | Class for regularized model using general purpose optimization interface
gpRidge | gpRidge
gpRidgeCpp | gpRidgeCpp
gpScad | gpScad
gpScadCpp | gpScadCpp

## -- I --

istaCappedL1mgSEM | cappedL1 optimization with ista
istaCappedL1SEM | cappedL1 optimization with ista
istaEnetGeneralPurpose | elastic net optimization with ista
istaEnetGeneralPurposeCpp | elastic net optimization with ista
istaEnetMgSEM | elastic net optimization with ista optimizer
istaEnetSEM | elastic net optimization with ista optimizer
istaLSPMgSEM | lsp optimization with ista
istaLSPSEM | lsp optimization with ista
istaMcpMgSEM | mcp optimization with ista
istaMcpSEM | mcp optimization with ista
istaMixedPenaltyGeneralPurpose | mixed penalty optimization with ista
istaMixedPenaltyGeneralPurposeCpp | mixed penalty optimization with ista
istaMixedPenaltymgSEM | mixed penalty optimization with ista
istaMixedPenaltySEM | mixed penalty optimization with ista
istaScadMgSEM | scad optimization with ista
istaScadSEM | scad optimization with ista

## -- L --

lasso | lasso
lavaan2lslxLabels | lavaan2lslxLabels
lessSEM2Lavaan | lessSEM2Lavaan
lessSEMCoef-class | Class for the coefficients estimated by lessSEM.
loadings | loadings
logicalMatch | logicalMatch
logLik-method | logLik
logLik-method | logLik
logLikelihood-class | 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.
lsp | lsp

## -- M --

makePtrs | makePtrs
mcp | mcp
mcpPenalty_C | mcpPenalty_C
mgSEM | mgSEM class
mixedPenalty | mixedPenalty
modifyModel | modifyModel

## -- N --

newTau | newTau

## -- P --

plot-method | plots the cross-validation fits
plot-method | plots the regularized and unregularized parameters for all levels of lambda
plot-method | plots the regularized and unregularized parameters for all levels of lambda
plot-method | plots the regularized and unregularized parameters for all levels of the tuning parameters

## -- R --

regressions | regressions
regsem2LavaanParameters | regsem2LavaanParameters
regularizedSEM-class | Class for regularized SEM
regularizedSEMMixedPenalty-class | Class for regularized SEM
ridge | ridge
ridgeBfgs | ridgeBfgs

## -- S --

scad | scad
scadPenalty_C | scadPenalty_C
SEMCpp | SEMCpp class
show-method | show
show-method | show
show-method | Show method for objects of class 'cvRegularizedSEM'.
show-method | show
show-method | show
show-method | show
show-method | show
show-method | show
show-method | show
simulateExampleData | simulateExampleData
smoothAdaptiveLasso | smoothAdaptiveLasso
smoothElasticNet | smoothElasticNet
smoothLasso | smoothLasso
stabilitySelection | stabilitySelection
stabSel-class | Class for stability selection
summary-method | summary method for objects of class 'cvRegularizedSEM'.
summary-method | summary
summary-method | summary
summary-method | summary

## -- V --

variances | variances

## -- misc --

.adaptBreakingForWls | .adaptBreakingForWls
.checkPenalties | .checkPenalties
.labelLavaanParameters | .labelLavaanParameters
.updateLavaan | .updateLavaan
.useElasticNet | .useElasticNet