Package: nhm 0.1.1

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]

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nhm.pdf |nhm.html✨
nhm/json (API)
NEWS

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

Peer review:

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:

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

6 exports 1 stars 0.23 score 9 dependencies 4 scripts 185 downloads

Last updated 11 months agofrom:f1f0d673a5. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-win-x86_64OKAug 20 2024
R-4.5-linux-x86_64OKAug 20 2024
R-4.4-win-x86_64OKAug 20 2024
R-4.4-mac-x86_64OKAug 20 2024
R-4.4-mac-aarch64OKAug 20 2024
R-4.3-win-x86_64OKAug 20 2024
R-4.3-mac-x86_64OKAug 20 2024
R-4.3-mac-aarch64OKAug 20 2024

Exports:ematrix.nhminitialprob.nhmmodel.nhmnhmnhm.controlqmatrix.nhm

Dependencies:deSolvedigestgenericslatticemaxLikmiscToolsmvtnormsandwichzoo

User guide to nhm

Rendered fromnhm-manual.texusingR.rsp::texon Aug 20 2024.

Last update: 2023-11-02
Started: 2023-11-02