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:
proclhmm_1.0.1.tar.gz
proclhmm_1.0.1.zip(r-4.7-x86_64)proclhmm_1.0.1.zip(r-4.7-arm64)proclhmm_1.0.1.zip(r-4.6-x86_64)proclhmm_1.0.1.zip(r-4.6-arm64)proclhmm_1.0.1.zip(r-4.5-x86_64)
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-4.7-x86_64)proclhmm_1.0.1.tar.gz(r-4.6-arm64)proclhmm_1.0.1.tar.gz(r-4.6-x86_64)
proclhmm_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
proclhmm/json (API)
| # 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
Last updated from:f0678685f1. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 124 | ||
| linux-devel-x86_64 | OK | 141 | ||
| source / vignettes | OK | 143 | ||
| linux-release-arm64 | OK | 114 | ||
| linux-release-x86_64 | OK | 102 | ||
| macos-release-arm64 | OK | 174 | ||
| macos-release-x86_64 | OK | 263 | ||
| macos-oldrel-arm64 | OK | 218 | ||
| macos-oldrel-x86_64 | OK | 453 | ||
| windows-devel-arm64 | OK | 326 | ||
| windows-devel-x86_64 | OK | 130 | ||
| windows-release-arm64 | OK | 336 | ||
| windows-release-x86_64 | OK | 90 | ||
| windows-oldrel-x86_64 | OK | 89 | ||
| wasm-release | OK | 95 |
Exports:compute_P1_lhmmcompute_paras_hmmcompute_PQ_lhmmcompute_thetafind_state_seqhmmlhmmsim_hmmsim_hmm_parassim_lhmmsim_lhmm_paras
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute LHMM probabilities from parameters | compute_P1_lhmm |
| Compute probabilities from logit scale parameters in HMM | compute_paras_hmm |
| Compute LHMM probabilities from parameters | compute_PQ_lhmm |
| Estimate latent traits in LHMM | compute_theta |
| Viterbi algorithm for HMM | find_state_seq |
| MMLE of HMM | hmm |
| MMLE of LHMM | lhmm |
| proclhmm: Latent Hidden Markov Models for Response Process Data | proclhmm |
| Simulating action sequences using HMM | sim_hmm |
| generate HMM parameters | sim_hmm_paras |
| Simulating action sequences using LHMM | sim_lhmm |
| generate LHMM parameters | sim_lhmm_paras |