Package: nhm 0.1.2

nhm: Non-Homogeneous Markov and Hidden Markov Multistate Models

Fits non-homogeneous Markov multistate models and misclassification-type hidden Markov models in continuous time to intermittently observed data. Implements the methods in Titman (2011) <doi:10.1111/j.1541-0420.2010.01550.x>. Uses direct numerical solution of the Kolmogorov forward equations to calculate the transition probabilities.

Authors:Andrew Titman [aut, cre]

nhm_0.1.2.tar.gz
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nhm_0.1.2.tgz(r-4.6-x86_64)nhm_0.1.2.tgz(r-4.6-arm64)nhm_0.1.2.tgz(r-4.5-x86_64)nhm_0.1.2.tgz(r-4.5-arm64)
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nhm_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nhm/json (API)
NEWS

# Install 'nhm' in R:
install.packages('nhm', repos = c('https://andrewtitman.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • example_data1 - Example of data on a progressive 4 state process
  • example_data2 - Example of data on a progressive 4 state process with state misclassification

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 stars 4 scripts 178 downloads 9 exports 9 dependencies

Last updated from:9cfd036b39. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK121
linux-devel-x86_64OK127
source / vignettesOK195
linux-release-arm64OK114
linux-release-x86_64OK116
macos-release-arm64OK102
macos-release-x86_64OK261
macos-oldrel-arm64OK128
macos-oldrel-x86_64OK284
windows-develOK97
windows-releaseOK89
windows-oldrelOK128
wasm-releaseOK93

Exports:ematrix.nhmexpected_hitting_timeinitialprob.nhmmodel.nhmnhmnhm.controlqmatrix.nhmstate_life_expectancystate_occupation_probability.nhm

Dependencies:deSolvedigestgenericslatticemaxLikmiscToolsmvtnormsandwichzoo

User guide to nhm

Rendered fromnhm-manual.texusingR.rsp::texon May 29 2026.

Last update: 2025-08-31
Started: 2023-11-02