Package: proclhmm 1.0.1

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.

Authors:Xueying Tang [aut, cre, cph]

proclhmm_1.0.1.tar.gz
proclhmm_1.0.1.zip(r-4.7)proclhmm_1.0.1.zip(r-4.6)proclhmm_1.0.1.zip(r-4.5)
proclhmm_1.0.1.tgz(r-4.6-x86_64)proclhmm_1.0.1.tgz(r-4.6-arm64)proclhmm_1.0.1.tgz(r-4.5-x86_64)proclhmm_1.0.1.tgz(r-4.5-arm64)
proclhmm_1.0.1.tar.gz(r-4.7-arm64)proclhmm_1.0.1.tar.gz(r-4.6-arm64)proclhmm_1.0.1.tar.gz(r-4.7-x86_64)proclhmm_1.0.1.tar.gz(r-4.6-x86_64)
proclhmm_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
proclhmm/json (API)
NEWS

# Install 'proclhmm' in R:
install.packages('proclhmm', repos = c('https://xytangtang.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/xytangtang/proclhmm/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

2.70 score 131 downloads 11 exports 2 dependencies

Last updated from:f0678685f1. Checks:11 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK117
source / vignettesOK139
linux-release-x86_64OK125
macos-release-arm64OK156
macos-release-x86_64OK241
macos-oldrel-arm64OK153
macos-oldrel-x86_64OK298
windows-develOK190
windows-releaseOK114
windows-oldrelOK110
wasm-releaseOK89

Exports:compute_P1_lhmmcompute_paras_hmmcompute_PQ_lhmmcompute_thetafind_state_seqhmmlhmmsim_hmmsim_hmm_parassim_lhmmsim_lhmm_paras

Dependencies:Rcppstatmod