An R Package for Facilitating Large-Scale Latent Variable
Analyses in Mplus
Leverages the R language to automate latent variable model estimation
and interpretation using 'Mplus', a powerful latent variable modeling program
developed by Muthen and Muthen (<http://www.statmodel.com>). Specifically, this package
provides routines for creating related groups of models, running batches of
models, and extracting and tabulating model parameters and fit statistics.
utils, boot, plyr, gsubfn, coda, xtable, lattice, texreg,
pander, digest, parallel

c(person("Michael", "Hallquist", role = c("aut", "cre"),
email = "michael.hallquist@gmail.com"),
person("Joshua", "Wiley", role = "aut",
email = "jwiley.psych@gmail.com"),
person(given = "Caspar", family ="van Lissa", role = "ctb",
email = "vanlissa@essb.eur.nl"))
utils, boot, plyr, gsubfn, coda, xtable, lattice, texreg,
pander, digest, parallel, ggplot2
Michael Hallquist [aut, cre],
Joshua Wiley [aut],
Caspar van Lissa [ctb]

c(person("Michael", "Hallquist", role = c("aut", "cre"),
email = "michael.hallquist@gmail.com"),
person("Joshua", "Wiley", role = "aut",
email = "jwiley.psych@gmail.com"),
person(given = "Caspar", family ="van Lissa", role = "ctb",
email = "c.j.vanlissa@uu.nl"))
utils, boot, plyr, gsubfn, coda, xtable, lattice, texreg,
pander, digest, parallel, ggplot2, data.table, rlang

c(person("Michael", "Hallquist", role = c("aut", "cre"),
email = "michael.hallquist@gmail.com"),
person("Joshua", "Wiley", role = "aut",
email = "jwiley.psych@gmail.com"),
person(given = "Caspar", family ="van Lissa", role = "ctb",
email = "c.j.vanlissa@uu.nl"),
person("Daniel", "Morillo", role = "ctb",
email = "danivorillo@gmail.com")
)
Michael Hallquist [aut, cre],
Joshua Wiley [aut],
Caspar van Lissa [ctb],
Daniel Morillo [ctb]

Leverages the R language to automate latent variable model estimation
and interpretation using 'Mplus', a powerful latent variable modeling program
developed by Muthen and Muthen (<https://www.statmodel.com>). Specifically, this package
provides routines for creating related groups of models, running batches of
models, and extracting and tabulating model parameters and fit statistics.
utils, boot, plyr, gsubfn, coda, xtable, lattice, texreg,
pander, digest, parallel, ggplot2, data.table, rlang,
fastDummies, checkmate
rhdf5, tcltk, relimp, knitr, testthat (>= 3.0.0), rmarkdown