populate_transition_matrix

A collection of functions to construct Markov model for model-based
cost-effectiveness analysis. This includes creating Markov model (both time
homogenous and time dependent models), decision analysis, sensitivity
analysis (deterministic and probabilistic). The package allows estimation
of parameters for the Markov model from a given individual patient level
data, provided the data file follows some standard data entry rules.

Sheeja Manchira Krishnan

packDAMipd

Decision Analysis Modelling Package with Parameters Estimation
Ability from Individual Patient Level Data

populate_transition_matrix function

<dl><dt>no_states</dt>
<dd>number of the health states</dd>
<dt>tmat</dt>
<dd>A transition matrix in the format from the package 'mstate'</dd>
<dt>list_prob</dt>
<dd>list of probabilities as in the order of
transitions (row wise)</dd>
<dt>name_states</dt>
<dd>names of the health states</dd></dl>

Arguments

Populate transition matrix — populate_transition_matrix

<dl>

<dt>no_states</dt>
<dd>number of the health states</dd>


<dt>tmat</dt>
<dd>A transition matrix in the format from the package 'mstate'</dd>


<dt>list_prob</dt>
<dd>list of probabilities as in the order of
transitions (row wise)</dd>


<dt>name_states</dt>
<dd>names of the health states</dd>

</dl>

populate_transition_matrix: Populate transition matrix

Description

Usage

Value

Arguments

Details

Examples