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)