Description Usage Arguments Value Author(s) See Also

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

1 2 | ```
phasemeans.msm(x, covariates="mean", ci=c("none","normal","bootstrap"),
cl=0.95, B=1000, cores=NULL)
``` |

`x` |
A fitted multi-state model, as returned by |

`covariates` |
Covariate values, see |

`ci` |
If |

`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 |

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`

.

C. H. Jackson [email protected]

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