phasemeans.msm: Parameters of phase-type models in mixture form

In msm: Multi-State Markov and Hidden Markov Models in Continuous Time

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 [e-mail]

See Also

d2phase.

msm documentation built on Oct. 5, 2024, 1:07 a.m.