Package: PHSMM 1.0
Jennifer Pohle
PHSMM: Penalised Maximum Likelihood Estimation for Hidden Semi-Markov Models
Provides tools for penalised maximum likelihood estimation of hidden semi-Markov models (HSMMs) with flexible state dwell-time distributions. These include functions for model fitting, model checking and state-decoding. The package considers HSMMs for univariate time series with state-dependent gamma, normal, Poisson or Bernoulli distributions. For details, see Pohle, J., Adam, T. and Beumer, L.T. (2021): Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. <arxiv:2101.09197>.
Authors:
PHSMM_1.0.tar.gz
PHSMM_1.0.tar.gz(r-4.5-noble)PHSMM_1.0.tar.gz(r-4.4-noble)
PHSMM_1.0.tgz(r-4.4-emscripten)PHSMM_1.0.tgz(r-4.3-emscripten)
PHSMM.pdf |PHSMM.html✨
PHSMM/json (API)
| # Install 'PHSMM' in R: |
| install.packages('PHSMM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- muskox - Muskox movement data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:a2150c306a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-linux-x86_64 | OK | Oct 30 2024 |
Exports:dberndecodeHSMMn2wHSMMnll_RcppnpllHSMMpbernplotDwpmleHSMMpseudoResHSMMtpmHMMw2nHSMM
Dependencies:RcppRcppArmadillo
