Function reference • lessSEM

All functions

AIC(<Rcpp_SEMCpp>): AIC

AIC(<Rcpp_mgSEM>): AIC

AIC(<gpRegularized>): AIC

AIC(<regularizedSEM>): AIC

AIC(<regularizedSEMMixedPenalty>): AIC

BIC(<Rcpp_SEMCpp>): BIC

BIC(<Rcpp_mgSEM>): BIC

BIC(<gpRegularized>): BIC

BIC(<regularizedSEM>): BIC

BIC(<regularizedSEMMixedPenalty>): BIC

SEMCpp: SEMCpp class

adaptiveLasso(): adaptiveLasso

addCappedL1(): addCappedL1

addElasticNet(): addElasticNet

addLasso(): addLasso

addLsp(): addLsp

addMcp(): addMcp

addScad(): addScad

bfgs(): bfgs

bfgsEnet: smoothly approximated elastic net

bfgsEnetMgSEM: smoothly approximated elastic net

bfgsEnetSEM: smoothly approximated elastic net

callFitFunction(): callFitFunction

cappedL1(): cappedL1

coef(<Rcpp_SEMCpp>): coef

coef(<Rcpp_mgSEM>): coef

coef(<cvRegularizedSEM>): coef

coef(<gpRegularized>): coef

coef(<regularizedSEM>): coef

coef(<regularizedSEMMixedPenalty>): 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

.adaptBreakingForWls(): .adaptBreakingForWls

.checkPenalties(): .checkPenalties

.labelLavaanParameters(): .labelLavaanParameters

.updateLavaan(): .updateLavaan

.useElasticNet(): .useElasticNet

elasticNet(): elasticNet

estimates(<cvRegularizedSEM>): estimates

estimates(<regularizedSEM>): estimates

estimates(<regularizedSEMMixedPenalty>): estimates

estimates(): S4 method to exract the estimates of an object

fit(): fit

fitIndices(<cvRegularizedSEM>): fitIndices

fitIndices(<regularizedSEM>): fitIndices

fitIndices(<regularizedSEMMixedPenalty>): fitIndices

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

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

istaCappedL1SEM: cappedL1 optimization with ista

istaCappedL1mgSEM: 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

istaMixedPenaltySEM: mixed penalty optimization with ista

istaMixedPenaltymgSEM: mixed penalty optimization with ista

istaScadMgSEM: scad optimization with ista

istaScadSEM: scad optimization with ista

lasso(): lasso

lavaan2lslxLabels(): lavaan2lslxLabels

lessSEM2Lavaan(): lessSEM2Lavaan

lessSEMCoef-class: Class for the coefficients estimated by lessSEM.

loadings(): loadings

logLik(<Rcpp_SEMCpp>): logLik

logLik(<Rcpp_mgSEM>): 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.

logicalMatch(): logicalMatch

lsp(): lsp

makePtrs(): makePtrs

mcp(): mcp

mcpPenalty_C(): mcpPenalty_C

mgSEM: mgSEM class

mixedPenalty(): mixedPenalty

modifyModel(): modifyModel

newTau(): newTau

plot(<cvRegularizedSEM>,<missing>): plots the cross-validation fits

plot(<gpRegularized>,<missing>): plots the regularized and unregularized parameters for all levels of lambda

plot(<regularizedSEM>,<missing>): plots the regularized and unregularized parameters for all levels of lambda

plot(<stabSel>,<missing>): plots the regularized and unregularized parameters for all levels of the tuning parameters

regressions(): regressions

regsem2LavaanParameters(): regsem2LavaanParameters

regularizedSEM-class: Class for regularized SEM

regularizedSEMMixedPenalty-class: Class for regularized SEM

ridge(): ridge

ridgeBfgs(): ridgeBfgs

scad(): scad

scadPenalty_C(): scadPenalty_C

show(<Rcpp_SEMCpp>): show

show(<Rcpp_mgSEM>): show

show(<cvRegularizedSEM>): Show method for objects of class cvRegularizedSEM.

show(<gpRegularized>): show

show(<lessSEMCoef>): show

show(<logLikelihood>): show

show(<regularizedSEM>): show

show(<regularizedSEMMixedPenalty>): show

show(<stabSel>): show

simulateExampleData(): simulateExampleData

smoothAdaptiveLasso(): smoothAdaptiveLasso

smoothElasticNet(): smoothElasticNet

smoothLasso(): smoothLasso

stabSel-class: Class for stability selection

stabilitySelection(): stabilitySelection

summary(<cvRegularizedSEM>): summary method for objects of class cvRegularizedSEM.

summary(<gpRegularized>): summary

summary(<regularizedSEM>): summary

summary(<regularizedSEMMixedPenalty>): summary

variances(): variances