R: Parameters of phase-type models in mixture form

phasemeans.msm {msm} | R Documentation

## Parameters of phase-type models in mixture form

### Description

Parameters of fitted two-phase models, in mixture model parameterisation.

### Usage

    phasemeans.msm(x, covariates="mean", ci=c("none","normal","bootstrap"),
                   cl=0.95, B=1000, cores=NULL)

### Arguments

`x` | A fitted multi-state model, as returned by `msm`.
`covariates` | Covariate values, see `qmatrix.msm`.
`ci` | If `"none"` (the default) no confidence intervals are calculated. Otherwise `"normal"`, or `"boot"` as described by `qmatrix.msm`.
`cl` | Width of the symmetric confidence interval, relative to 1.
`B` | Number of bootstrap replicates, or number of normal simulations from the distribution of the MLEs.
`cores` | Number of cores to use for bootstrapping using parallel processing. See `boot.msm` for more details.

### Value

Matrix with one row for each state that has a two-phase distribution, and three columns: the short-stay mean, long-stay mean and long-stay probability. These are functions of the transition intensities of the expanded hidden Markov model, defined in `d2phase`.

### Author(s)

C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk

### See Also

`d2phase`.

[Package msm version 1.6.8 Index]