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msm (version 0.4.1)

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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Install

install.packages('msm')

Monthly Downloads

19,748

Version

0.4.1

License

GPL version 2 or newer

Maintainer

Christopher H Jackson

Last Published

October 4th, 2024

Functions in msm (0.4.1)

Inverse logit function

Multi-state Markov models

Print a fitted multi-state model

Calculate crude initial values for transition intensities

Estimated ratio of transition intensities

Heart transplant monitoring data

Calculate tables of odds ratios for covariates on misclassification probabilities

Matrix exponential

Internal msm functions

pmatrix.piecewise.msm

Transition probability matrix for processes with piecewise-constant intensities

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

Misclassification probability matrix

Transition intensity matrix

Extract model coefficients

Tables of observed and expected prevalences

Aortic aneurysm progression data

Mean sojourn times from a multi-state model

Simulate one individual trajectory from a continuous-time Markov model

Summarise a fitted multi-state model

Transition probability matrix

Calculate the most likely path through underlying stages

Plots of multi-state models

Table of transitions

Total length of stay

Calculate tables of hazard ratios for covariates on transition intensities

The delta method