![[R logo]](../../../doc/html/logo.jpg){kind=logo}
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
| absorbing.msm | Transient and absorbing states |
| 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 |
| coef.msm | Extract model coefficients |
| contour.msm | Explore the likelihood surface |
| crudeinits.msm | Calculate crude initial values for transition intensities |
| deltamethod | The delta method |
| dmenorm | Measurement error distributions |
| dmeunif | Measurement error distributions |
| dpexp | Exponential distribution with piecewise-constant rate |
| dtnorm | Truncated Normal distribution |
| efpt.msm | Expected first passage time |
| ematrix.msm | Misclassification probability matrix |
| fev | FEV1 measurements from lung transplant recipients |
| hazard.msm | Calculate tables of hazard ratios for covariates on transition intensities |
| hmm-dists | Hidden Markov model constructors |
| hmmBeta | Hidden Markov model constructors |
| hmmBinom | Hidden Markov model constructors |
| hmmCat | Hidden Markov model constructors |
| hmmExp | Hidden Markov model constructors |
| hmmGamma | Hidden Markov model constructors |
| hmmIdent | Hidden Markov model constructors |
| hmmLNorm | Hidden Markov model constructors |
| hmmMETNorm | Hidden Markov model constructors |
| hmmMEUnif | Hidden Markov model constructors |
| hmmNBinom | Hidden Markov model constructors |
| hmmNorm | Hidden Markov model constructors |
| hmmPois | Hidden Markov model constructors |
| hmmT | Hidden Markov model constructors |
| hmmTNorm | Hidden Markov model constructors |
| hmmUnif | Hidden Markov model constructors |
| hmmWeibull | Hidden Markov model constructors |
| image.msm | Explore the likelihood surface |
| logLik.msm | Extract model log-likelihood |
| lrtest.msm | Likelihood ratio test |
| MatrixExp | Matrix exponential |
| medists | Measurement error distributions |
| msm | Multi-state Markov and hidden Markov models in continuous time |
| odds.msm | Calculate tables of odds ratios for covariates on misclassification probabilities |
| pearson.msm | Pearson-type goodness-of-fit test |
| persp.msm | Explore the likelihood surface |
| pexp | Exponential distribution with piecewise-constant rate |
| 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 intensities |
| pmenorm | Measurement error distributions |
| pmeunif | Measurement error distributions |
| pnext.msm | Probability of each state being next |
| ppexp | Exponential distribution with piecewise-constant rate |
| prevalence.msm | Tables of observed and expected prevalences |
| print.msm | Print a fitted msm model object |
| print.summary.msm | Summarise a fitted multi-state model |
| printnew.msm | Print a fitted msm model object |
| psor | Psoriatic arthritis data |
| ptnorm | Truncated Normal distribution |
| qgeneric | Generic function to find quantiles of a distribution |
| qmatrix.msm | Transition intensity matrix |
| qmenorm | Measurement error distributions |
| qmeunif | Measurement error distributions |
| qpexp | Exponential distribution with piecewise-constant rate |
| qratio.msm | Estimated ratio of transition intensities |
| qtnorm | Truncated Normal distribution |
| rmenorm | Measurement error distributions |
| rmeunif | Measurement error distributions |
| rpexp | Exponential distribution with piecewise-constant rate |
| rtnorm | Truncated Normal distribution |
| 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 arbitrary observation times |
| 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 |
| tnorm | Truncated Normal distribution |
| totlos.msm | Total length of stay |
| transient.msm | Transient and absorbing states |
| viterbi.msm | Calculate the most likely path through underlying states |