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msm (version 0.2.1)

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

18,399

Version

0.2.1

License

GPL version 2 or newer

Maintainer

Christopher H Jackson

Last Published

October 4th, 2024

Functions in msm (0.2.1)

Calculate crude initial values for transition intensities

The delta method

Extract model coefficients

Internal msm functions

Mean sojourn times from a multi-state model

Plots of multi-state models

Summarise a fitted multi-state model

Estimated ratio of transition intensities

Misclassification probability matrix

Transition intensity matrix

Simulate one individual trajectory from a continuous-time Markov model

Inverse logit function

Matrix exponential

Transition probability matrix

Tables of observed and expected prevalences

Table of transitions

Print a fitted multi-state model

Aortic aneurysm progression data

Calculate the most likely path through underlying stages

Calculate tables of hazard ratios for covariates on transition intensities

Total length of stay

Calculate tables of odds ratios for covariates on misclassification probabilities

Multi-state Markov models

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

Heart transplant monitoring data

pmatrix.piecewise.msm

Transition probability matrix for processes with piecewise-constant intensities