Package: proclhmm 1.0.0

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_1.0.0.tar.gz
proclhmm_1.0.0.zip(r-4.5)proclhmm_1.0.0.zip(r-4.4)proclhmm_1.0.0.zip(r-4.3)
proclhmm_1.0.0.tgz(r-4.4-x86_64)proclhmm_1.0.0.tgz(r-4.4-arm64)proclhmm_1.0.0.tgz(r-4.3-x86_64)proclhmm_1.0.0.tgz(r-4.3-arm64)
proclhmm_1.0.0.tar.gz(r-4.5-noble)proclhmm_1.0.0.tar.gz(r-4.4-noble)
proclhmm_1.0.0.tgz(r-4.4-emscripten)proclhmm_1.0.0.tgz(r-4.3-emscripten)
proclhmm.pdf |proclhmm.html
proclhmm/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

3.18 score 406 downloads 11 exports 2 dependencies

Last updated 6 months agofrom:b7dff6b900. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-win-x86_64NOTENov 03 2024
R-4.5-linux-x86_64NOTENov 03 2024
R-4.4-win-x86_64OKNov 03 2024
R-4.4-mac-x86_64OKNov 03 2024
R-4.4-mac-aarch64OKNov 03 2024
R-4.3-win-x86_64OKNov 03 2024
R-4.3-mac-x86_64OKNov 03 2024
R-4.3-mac-aarch64OKNov 03 2024

Exports:compute_P1_lhmmcompute_paras_hmmcompute_PQ_lhmmcompute_thetafind_state_seqhmmlhmmsim_hmmsim_hmm_parassim_lhmmsim_lhmm_paras

Dependencies:Rcppstatmod