The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

proclhmm: Latent Hidden Markov Models for Response Process Data

Provides functions for simulating from and fitting the latent hidden Markov models for response process data (Tang, 2024) <doi:10.1007/s11336-023-09938-1>. It also includes functions for simulating from and fitting ordinary hidden Markov models.

Version: 1.0.0
Imports: Rcpp (≥ 1.0.8.3), statmod (≥ 1.4.36)
LinkingTo: Rcpp
Published: 2024-06-05
DOI: 10.32614/CRAN.package.proclhmm
Author: Xueying Tang [aut, cre, cph]
Maintainer: Xueying Tang <xueyingtang1989 at gmail.com>
BugReports: https://github.com/xytangtang/proclhmm/issues
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: proclhmm results

Documentation:

Reference manual: proclhmm.pdf

Downloads:

Package source: proclhmm_1.0.0.tar.gz
Windows binaries: r-devel: proclhmm_1.0.0.zip, r-release: proclhmm_1.0.0.zip, r-oldrel: proclhmm_1.0.0.zip
macOS binaries: r-release (arm64): proclhmm_1.0.0.tgz, r-oldrel (arm64): proclhmm_1.0.0.tgz, r-release (x86_64): proclhmm_1.0.0.tgz, r-oldrel (x86_64): proclhmm_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=proclhmm 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.
Health stats visible at Monitor.