phasemeans.msm

A fitted multi-state model, as returned by <code><a href="/link/msm?package=msm&version=1.5" rd-options="" data-mini-rdoc="msm::msm">msm</a></code>.

Covariate values, see <code><a href="/link/qmatrix.msm?package=msm&version=1.5" rd-options="" data-mini-rdoc="msm::qmatrix.msm">qmatrix.msm</a></code>.

covariates

If <code>"none"</code> (the default) no confidence intervals are
    calculated.   Otherwise <code>"normal"</code>, or <code>"boot"</code>
    as described by <code><a href="/link/qmatrix.msm?package=msm&version=1.5" rd-options="" data-mini-rdoc="msm::qmatrix.msm">qmatrix.msm</a></code>.

Width of the symmetric confidence interval, relative to 1.

Number of bootstrap replicates, or number of normal
    simulations from the distribution of the MLEs.

Number of cores to use for bootstrapping using parallel
    processing. See <code><a href="/link/boot.msm?package=msm&version=1.5" rd-options="" data-mini-rdoc="msm::boot.msm">boot.msm</a></code> for more details.

cores

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

models

Continuous-time Markov and hidden Markov multi-state
 models for longitudinal data.  Designed for processes observed at
 arbitrary times in continuous time (panel data) but some other
 observation schemes are supported. Both Markov transition rates and
 the hidden Markov output process can be modelled in terms of
 covariates, which may be constant or piecewise-constant in time.

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

Description

Usage

Arguments

Value

See Also