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sparseSEM
View on CRAN: Click
here
Download and install sparseSEM package within the R console
Install from CRAN:
install.packages("sparseSEM")
Install from Github:
library("remotes")
install_github("cran/sparseSEM")
Install by package version:
library("remotes")
install_version("sparseSEM", "4.1")
Attach the package and use:
library("sparseSEM")
Maintained by
Anhui Huang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.sparseSEM . sparseSEM results . sparseSEM.pdf . sparseSEM_4.1.tar.gz . sparseSEM_4.1.zip . sparseSEM_4.1.zip . sparseSEM_4.1.zip . sparseSEM_4.1.tgz . sparseSEM_4.1.tgz . sparseSEM_4.1.tgz . sparseSEM_4.1.tgz . sparseSEM_4.1.tgz . sparseSEM_4.1.tgz . sparseSEM archive . https://CRAN.R-project.org/package=sparseSEM .
First Published: 2014-08-26
Latest Update: 2023-08-09
Description:
Provides elastic net penalized maximum likelihood estimator for structural equation models (SEM). The package implements 'lasso' and 'elastic net' (l1/l2) penalized SEM and estimates the model parameters with an efficient block coordinate ascent algorithm that maximizes the penalized likelihood of the SEM.Hyperparameters are inferred from cross-validation (CV).A Stability Selection (STS) function is also available to provide accurate causal effect selection. The software achieves high accuracy performance through a 'Network Generative Pre-trained Transformer' (Network GPT) Framework with two steps: 1) pre-trains the model to generate a complete (fully connected) graph; and 2) uses the complete graph as the initial state to fit the 'elastic net' penalized SEM.
How to cite:
Anhui Huang (2014). sparseSEM: Elastic Net Penalized Maximum Likelihood for Structural Equation Models with Network GPT Framework. R package version 4.1, https://cran.r-project.org/web/packages/sparseSEM. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Other R packages that sparseSEM depends,
imports, suggests or enhances
Complete documentation for sparseSEM
Functions, R codes and Examples using
the sparseSEM R package
Some associated functions: B . Missing . X . Y . elasticNetSEM . elasticNetSEMcv . elasticNetSEMpoint . enSEM_stability_selection . enSEM_stability_selection_parallel . lassoSEM . sparseSEM-internal . sparseSEM-package . yeast .
Some associated R codes: cvElasticNetSEM.R . elasticNetSEM.R . elasticNetSEMpoint.R . enSEM_STS.R . enSEM_stability_selection.R . enSEM_stability_selection_parallel.R . lassoSEM.R . Full sparseSEM package functions and examples
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