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LMest: Generalized Latent Markov Models

Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017)<doi:10.18637/jss.v081.i04>.

Version: 3.2.4
Depends: R (≥ 3.5.0)
Imports: MASS, MultiLCIRT, stats, mvtnorm, Formula (≥ 1.2-3), mix, utils, graphics, diagram (≥ 1.6.4), mclust (≥ 5.4.6), scatterplot3d (≥ 0.3-41), grDevices
Suggests: knitr, rmarkdown, bookdown
Published: 2024-12-06
DOI: 10.32614/CRAN.package.LMest
Author: Francesco Bartolucci [aut, cre], Silvia Pandolfi [aut], Fulvia Pennoni [aut], Alessio Farcomeni [ctb], Alessio Serafini [ctb]
Maintainer: Francesco Bartolucci <francesco.bartolucci at unipg.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: LMest citation info
CRAN checks: LMest results

Documentation:

Reference manual: LMest.pdf
Vignettes: Introduction to LMest (source, R code)

Downloads:

Package source: LMest_3.2.4.tar.gz
Windows binaries: r-devel: LMest_3.2.4.zip, r-release: LMest_3.2.4.zip, r-oldrel: LMest_3.2.4.zip
macOS binaries: r-release (arm64): LMest_3.2.4.tgz, r-oldrel (arm64): LMest_3.2.4.tgz, r-release (x86_64): LMest_3.2.4.tgz, r-oldrel (x86_64): LMest_3.2.4.tgz
Old sources: LMest archive

Reverse dependencies:

Reverse suggests: mvord

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LMest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.