CRAN/E | latentFactoR

latentFactoR

Data Simulation Based on Latent Factors

Installation

About

Generates data based on latent factor models. Data can be continuous, polytomous, dichotomous, or mixed. Skews, cross-loadings, wording effects, population errors, and local dependencies can be added. All parameters can be manipulated. Data categorization is based on Garrido, Abad, and Ponsoda (2011) doi:10.1177/0013164410389489.

Citation latentFactoR citation info

Key Metrics

Version 0.0.4
R ≥ 3.6.0
Published 2022-11-22 523 days ago
Needs compilation? no
License GPL (≥ 3.0)
CRAN checks latentFactoR results

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Maintainer

Maintainer

Alexander Christensen

alexpaulchristensen@gmail.com

Authors

Alexander Christensen

aut / cre

Maria Dolores Nieto Canaveras

aut

Hudson Golino

aut

Luis Eduardo Garrido

aut

Marcos Jimenez

aut

Francisco Abad

ctb

Eduardo Garcia-Garzon

ctb

Vithor Franco

aut

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

latentFactoR archive

Depends

R ≥ 3.6.0

Imports

BBmisc
EGAnet
fspe
googledrive
ineq
Matrix
methods
mlr
mvtnorm
psych
qgraph
rstudioapi
xgboost