Package: RcppHMM 1.2.2
Roberto A. Cardenas-Ovando
RcppHMM: Rcpp Hidden Markov Model
Collection of functions to evaluate sequences, decode hidden states and estimate parameters from a single or multiple sequences of a discrete time Hidden Markov Model. The observed values can be modeled by a multinomial distribution for categorical/labeled emissions, a mixture of Gaussians for continuous data and also a mixture of Poissons for discrete values. It includes functions for random initialization, simulation, backward or forward sequence evaluation, Viterbi or forward-backward decoding and parameter estimation using an Expectation-Maximization approach.
Authors:
RcppHMM_1.2.2.tar.gz
RcppHMM_1.2.2.tar.gz(r-4.5-noble)RcppHMM_1.2.2.tar.gz(r-4.4-noble)
RcppHMM_1.2.2.tgz(r-4.4-emscripten)RcppHMM_1.2.2.tgz(r-4.3-emscripten)
RcppHMM.pdf |RcppHMM.html✨
RcppHMM/json (API)
NEWS
| # Install 'RcppHMM' in R: |
| install.packages('RcppHMM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:58fba0615f. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 20 2024 |
Exports:evaluationforwardBackwardgenerateObservationsinitGHMMinitHMMinitPHMMlearnEMloglikelihoodsetNamessetParametersverifyModelviterbi
Dependencies:RcppRcppArmadillo
