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msm (version 0.1)

Multi-state Markov models in continuous time

Description

Functions for fitting continuous-time Markov multi-state models to categorical processes observed at arbitrary times, optionally with misclassified responses, and covariates on transition or misclassification rates.

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Version

Install

install.packages('msm')

Monthly Downloads

26,774

Version

0.1

License

GPL version 2 or newer

Maintainer

Christopher H Jackson

Last Published

October 4th, 2024

Functions in msm (0.1)

msm-internal

Internal msm functions
prevalencemisc.msm

Calculate tables of observed and expected prevalences at a series of times
aneur

Aortic aneurysm progression data
msm.summary

Summarise a fitted multi-state model
simmulti.msm

Simulate multiple trajectories from a multi-state Markov model with arbitrary observation times
viterbi.msm

Calculate the most likely path through underlying stages
prevalence.msm

Calculate tables of observed and expected prevalences at a series of times
MatrixExp

Matrix exponential
deltamethod

The delta method
sim.msm

Simulate one individual trajectory from a continuous-time Markov model
msm

Multi-state Markov models
hazard.msm

Calculate tables of hazard ratios for covariates on transition intensities
expit

Inverse logit function
logit

Logit function
print.msm

Print a fitted multi-state model
plot.msm

Plots of multi-state models
sojourn.msm

Estimate mean sojourn times from a multi-state model