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✨
DESCRIPTION |NEWS
card.svg |card.png
nhm/json (API)

# 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:

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 303 downloads 9 exports 9 dependencies

Last updated from:9cfd036b39. Checks:4 NOTE, 11 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	133
linux-devel-x86_64	NOTE	148
source / vignettes	OK	183
linux-release-arm64	OK	103
linux-release-x86_64	OK	110
macos-release-arm64	OK	181
macos-release-x86_64	OK	317
macos-oldrel-arm64	OK	199
macos-oldrel-x86_64	OK	284
windows-devel-arm64	NOTE	337
windows-devel-x86_64	NOTE	115
windows-release-arm64	OK	346
windows-release-x86_64	OK	81
windows-oldrel-x86_64	OK	89
wasm-release	OK	94

Exports:ematrix.nhm expected_hitting_time initialprob.nhm model.nhm nhm nhm.control qmatrix.nhm state_life_expectancy state_occupation_probability.nhm

Dependencies:deSolve digest generics lattice maxLik miscTools mvtnorm sandwich zoo

User guide to nhm

Rendered fromnhm-manual.texusingR.rsp::tex

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

Citation

Readme and manuals

Help Manual

Help page	Topics
Compute the misclassification probability matrix from a fitted nhm model	ematrix.nhm
Example of data on a progressive 4 state process	example_data1
Example of data on a progressive 4 state process with state misclassification	example_data2
Compute the estimated hitting time for a state of a progressive multi-state model.	expected_hitting_time
Compute the initial probability vector from a fitted nhm model	initialprob.nhm
Model object set up for non-homogeneous Markov models	model.nhm
Fit a non-homogeneous Markov model using maximum likelihood	nhm
Ancillary arguments for controlling nhm fits	nhm.control
Plot transition probabilities, intensities or state occupation probabilities from a fitted nhm model.	plot.nhm
Compute transition probabilities from a fitted nhm model	predict.nhm
Print output from a score test of a nhm object	print.nhm_score
Compute transition intensities from a fitted nhm model	qmatrix.nhm
State-specific life expectancies and quality-adjusted life years	state_life_expectancy
Compute state occupation probabilities from a fitted nhm model	state_occupation_probability.nhm

Package: nhm 0.1.2

nhm: Non-Homogeneous Markov and Hidden Markov Multistate Models

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)