ematrix.nhm

Outputs the matrix of misclasification probabilities in a misclassification type hidden Markov multi-state model fitted using <code>nhm</code>.

Fits non-homogeneous Markov multistate models and misclassification-type hidden Markov models in continuous time to intermittently observed data. Implements the methods in Titman (2011) <doi:10.1111/j.1541-0420.2010.01550.x>. Uses direct numerical solution of the Kolmogorov forward equations to calculate the transition probabilities.

Andrew Titman

Non-Homogeneous Markov and Hidden Markov Multistate Models

ematrix.nhm function

<dl> <dt>object</dt>
<dd>Fitted model object produced using <code>nhm</code>.</dd> <dt>covvalue</dt>
<dd>Optional vector of covariate vectors (should be given in the order specified in the <code>covariate</code> option in <code>nhm</code>). If omitted the function will use the mean values of the covariates.</dd></dl>

Arguments

Andrew Titman <a href="/link/a.titman%40lancaster.ac.uk?package=nhm&version=0.1.2" data-mini-rdoc="nhm::a.titman@lancaster.ac.uk">a.titman@lancaster.ac.uk</a>

Author

Compute the misclassification probability matrix from a fitted nhm model — ematrix.nhm

<dl>

 <dt>object</dt>
<dd>Fitted model object produced using <code>nhm</code>.</dd>

 <dt>covvalue</dt>
<dd>Optional vector of covariate vectors (should be given in the order specified in the <code>covariate</code> option in <code>nhm</code>). If omitted the function will use the mean values of the covariates.</dd>

</dl>

Andrew Titman <a href='mailto:a.titman@lancaster.ac.uk'>a.titman@lancaster.ac.uk</a>

ematrix.nhm: Compute the misclassification probability matrix from a fitted nhm model

Description

Usage

Value

Arguments

Author

Details

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