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lvnet  

Latent Variable Network Modeling
View on CRAN: Click here


Download and install lvnet package within the R console
Install from CRAN:
install.packages("lvnet")

Install from Github:
library("remotes")
install_github("cran/lvnet")

Install by package version:
library("remotes")
install_version("lvnet", "0.3.5")



Attach the package and use:
library("lvnet")
Maintained by
Sacha Epskamp
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-01
Latest Update: 2019-06-21
Description:
Estimate, fit and compare Structural Equation Models (SEM) and network models (Gaussian Graphical Models; GGM) using OpenMx. Allows for two possible generalizations to include GGMs in SEM: GGMs can be used between latent variables (latent network modeling; LNM) or between residuals (residual network modeling; RNM). For details, see Epskamp, Rhemtulla and Borsboom (2017) .
How to cite:
Sacha Epskamp (2016). lvnet: Latent Variable Network Modeling. R package version 0.3.5, https://cran.r-project.org/web/packages/lvnet. Accessed 27 Jun. 2026.
Previous versions and publish date:
0.2 (2016-10-01 00:58), 0.3.1 (2017-03-28 08:06), 0.3.2 (2017-09-02 19:24), 0.3.3 (2018-04-25 11:16), 0.3.4 (2018-11-18 19:30), 0.3 (2016-11-25 14:14)
Other packages that cited lvnet R package
View lvnet citation profile
Other R packages that lvnet depends, imports, suggests or enhances
Complete documentation for lvnet
Functions, R codes and Examples using the lvnet R package
Some associated functions: EBIClvglasso . lassoSelect . lav2lvnet . lvglasso . lvnet . lvnetCompare . lvnetLasso . lvnetRefit . lvnetSearch . plot.lvnet . summary.lvnet . 
Some associated R codes: BayesLNM.R . BayesRNM.R . EBIClvglasso.R . cor2cov.R . generateRIMmodel.R . lassoSelect.R . lassoTest.R . lav2lvnet.R . lvglasso.R . lvnet.R . lvnetLasso.R . lvnetSearch.R . methods.R . modelComparison.R . plot.R . refit.R . zzz.R .  Full lvnet package functions and examples
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