phasemeans.msm

A fitted multi-state model, as returned by <code><a rd-options="" href="/link/msm?package=msm&version=1.6.9" data-mini-rdoc="msm::msm">msm</a></code>.

Covariate values, see <code><a rd-options="" href="/link/qmatrix.msm?package=msm&version=1.6.9" 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 rd-options="" href="/link/qmatrix.msm?package=msm&version=1.6.9" 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 rd-options="" href="/link/boot.msm?package=msm&version=1.6.9" 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

Functions for fitting continuous-time Markov and hidden
Markov multi-state models to 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.

Christopher Jackson

Multi-State Markov and Hidden Markov Models in Continuous Time

phasemeans.msm function

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

Arguments

C. H. Jackson <a href="/link/chris.jackson%40mrc-bsu.cam.ac.uk?package=msm&version=1.6.9" data-mini-rdoc="msm::chris.jackson@mrc-bsu.cam.ac.uk">chris.jackson@mrc-bsu.cam.ac.uk</a>

Author

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

<dl>

 <dt>x</dt>
<dd>A fitted multi-state model, as returned by <code>msm</code>.</dd>

 <dt>covariates</dt>
<dd>Covariate values, see <code>qmatrix.msm</code>.</dd>

 <dt>ci</dt>
<dd>If <code>"none"</code> (the default) no confidence intervals are
 calculated. Otherwise <code>"normal"</code>, or <code>"boot"</code>
 as described by <code>qmatrix.msm</code>.</dd>


 <dt>cl</dt>
<dd>Width of the symmetric confidence interval, relative to 1.</dd>


 <dt>B</dt>
<dd>Number of bootstrap replicates, or number of normal
 simulations from the distribution of the MLEs.</dd>


 <dt>cores</dt>
<dd>Number of cores to use for bootstrapping using parallel
 processing. See <code>boot.msm</code> for more details.</dd>

</dl>

C. H. Jackson <a href='mailto:chris.jackson@mrc-bsu.cam.ac.uk'>chris.jackson@mrc-bsu.cam.ac.uk</a>

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

Description

Usage

Value

Arguments

Author

See Also