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

Package: regsem 1.9.5

Ross Jacobucci

regsem: Regularized Structural Equation Modeling

Uses both ridge and lasso penalties (and extensions) to penalize specific parameters in structural equation models. The package offers additional cost functions, cross validation, and other extensions beyond traditional structural equation models. Also contains a function to perform exploratory mediation (XMed).

Authors:Ross Jacobucci [aut, cre], Kevin Grimm [ctb], Andreas Brandmaier [ctb], Sarfaraz Serang [ctb], Rogier Kievit [ctb], Florian Scharf [ctb], Xiaobei Li [ctb], Ai Ye [ctb]

regsem_1.9.5.tar.gz
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regsem_1.9.5.tgz(r-4.6-x86_64)regsem_1.9.5.tgz(r-4.6-arm64)regsem_1.9.5.tgz(r-4.5-x86_64)regsem_1.9.5.tgz(r-4.5-arm64)
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regsem_1.9.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
regsem/json (API)

# Install 'regsem' in R:

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

Bug tracker:https://github.com/rjacobucci/regsem/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

openblas cpp

6.95 score 16 stars 139 scripts 520 downloads 2 mentions 13 exports 17 dependencies

Last updated from:5de69fa5ea. Checks:13 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	230
linux-devel-x86_64	OK	244
source / vignettes	OK	294
linux-release-arm64	OK	185
linux-release-x86_64	OK	184
macos-release-arm64	OK	120
macos-release-x86_64	OK	260
macos-oldrel-arm64	OK	137
macos-oldrel-x86_64	OK	389
windows-devel	OK	204
windows-release	OK	184
windows-oldrel	OK	170
wasm-release	OK	173

Exports:cv_regsem det_range det_range_par efaModel extractMatrices fit_indices multi_optim pen_mod regsem stabsel stabsel_par stabsel_thr xmed

Dependencies:codetools digest future future.apply globals lavaan listenv MASS mnormt numDeriv parallelly pbivnorm quadprog Rcpp RcppArmadillo Rsolnp truncnorm

Regsem Package

Simulate Data | Run the Model with Lavaan | Plot the Model | Plot the parameter trajectories

Rendered fromshort_intro.Rmdusingknitr::knitr

Last update: 2021-03-22
Started: 2018-02-17

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The main function that runs multiple penalty values.	cv_regsem
Determine the initial range for stability selection	det_range
Determine the initial range for stability selection, parallel version	det_range_par
Generates an EFA model to be used by lavaan and regsem Function created by Florian Scharf for the paper Should regularization replace simple structure rotation in Exploratory Factor Analysis - Scharf & Nestler (in press at SEM)	efaModel
This function extracts RAM matrices from a lavaan object.	extractMatrices
Calculates the fit indices	fit_indices
Multiple starts for Regularized Structural Equation Modeling	multi_optim
Takes either a vector of parameter ids or a vector of named parameters and returns a vector of parameter ids	parse_parameters
Penalized model syntax.	pen_mod
Plot function for cv_regsem	plot.cvregsem
Calculates the objective function values.	rcpp_fit_fun
Calculates the gradient vector based on Von Oertzen and Brick, 2014	rcpp_grad_ram
Compute quasi Hessian	rcpp_quasi_calc
Take RAM matrices, multiplies, and returns Implied Covariance matrix.	rcpp_RAMmult
Regularized Structural Equation Modeling. Tests a single penalty. For testing multiple penalties, see cv_regsem().	regsem
Stability selection	stabsel
Stability selection, parallelized version	stabsel_par
Tuning the probability threshold.	stabsel_thr
print information about cvregsem object	summary.cvregsem
Summary results from regsem.	summary.regsem
Function to performed exploratory mediation with continuous and categorical variables	xmed