msm1.8.2 package

Multi-State Markov and Hidden Markov Models in Continuous Time

printold.msm

Print a fitted msm model object

psor

Psoriatic arthritis data

qcmodel.object

Developer documentation: model for covariates on transition intensitie...

qgeneric

Generic function to find quantiles of a distribution

qmatrix.msm

Transition intensity matrix

qmodel.object

Developer documentation: transition model structure object

qratio.msm

Estimated ratio of transition intensities

recreate.olddata

Convert data stored in msm object to old format

scoreresid.msm

Score residuals

sim.msm

Simulate one individual trajectory from a continuous-time Markov model

simfitted.msm

Simulate from a Markov model fitted using msm

simmulti.msm

Simulate multiple trajectories from a multi-state Markov model with ar...

sojourn.msm

Mean sojourn times from a multi-state model

statetable.msm

Table of transitions

summary.msm

Summarise a fitted multi-state model

surface.msm

Explore the likelihood surface

tidy.msm.est

Tidy the output of pmatrix.msm and similar functions

tidy.msm.estbystate

Tidy the output of totlos.msm and similar functions

tidy.msm.prevalence

Tidy the output of prevalence.msm

tidy.msm

Tidy the parameter estimates from an msm model

tnorm

Truncated Normal distribution

totlos.msm

Total length of stay, or expected number of visits

transient.msm

Transient and absorbing states

twophase

Coxian phase-type distribution with two phases

updatepars.msm

Update the maximum likelihood estimates in a fitted model object.

viterbi.msm

Calculate the probabilities of underlying states and the most likely p...

aneur

Aortic aneurysm progression data

boot.msm

Bootstrap resampling for multi-state models

bos

Bronchiolitis obliterans syndrome after lung transplants

cav

Heart transplant monitoring data

cmodel.object

Developer documentation: censoring model object

coef.msm

Extract model coefficients

crudeinits.msm

Calculate crude initial values for transition intensities

deltamethod

The delta method

draic.msm

Criteria for comparing two multi-state models with nested state spaces

ecmodel.object

Developer documentation: model for covariates on misclassification pro...

efpt.msm

Expected first passage time

ematrix.msm

Misclassification probability matrix

emodel.object

Developer documentation: misclassification model structure object

fev

FEV1 measurements from lung transplant recipients

hazard.msm

Calculate tables of hazard ratios for covariates on transition intensi...

hmm-dists

Hidden Markov model constructors

hmmMV

Multivariate hidden Markov models

hmodel.object

Developer documentation: hidden Markov model structure object

hmodel2list

Convert a hmodel object to HMM constructor function calls

logLik.msm

Extract model log-likelihood

lrtest.msm

Likelihood ratio test

MatrixExp

Matrix exponential

medists

Measurement error distributions

model.frame.msm

Extract original data from msm objects.

msm-package

Multi-State Markov and Hidden Markov Models in Continuous Time

msm.form.qoutput

Extract msm model parameter estimates in compact format

msm.object

Fitted msm model objects

msm

Multi-state Markov and hidden Markov models in continuous time

msm2Surv

Convert data for msm' to data for survival', mstate' or flexsurv' ...

odds.msm

Calculate tables of odds ratios for covariates on misclassification pr...

paramdata.object

Developer documentation: internal msm parameters object

pearson.msm

Pearson-type goodness-of-fit test

pexp

Exponential distribution with piecewise-constant rate

phasemeans.msm

Parameters of phase-type models in mixture form

plot.msm

Plots of multi-state models

plot.prevalence.msm

Plot of observed and expected prevalences

plot.survfit.msm

Plot empirical and fitted survival curves

plotprog.msm

Kaplan Meier estimates of incidence

pmatrix.msm

Transition probability matrix

pmatrix.piecewise.msm

Transition probability matrix for processes with piecewise-constant in...

pnext.msm

Probability of each state being next

ppass.msm

Passage probabilities

prevalence.msm

Tables of observed and expected prevalences

print.msm

Print a fitted msm model object

Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.

  • Maintainer: Christopher Jackson
  • License: GPL (>= 2)
  • Last published: 2024-11-07