plot_dsa_icer_range

results from deterministic sensitivity analysis

ob_results

plot_var

Function to do some checks before plotting sensitivity analysis results

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

plot_dsa_icer_range function

<dl><dt>ob_results</dt>
<dd>results from deterministic sensitivity analysis</dd>
<dt>plot_var</dt>
<dd>the variable</dd></dl>

Arguments

Function to do some checks before plotting sensitivity analysis results — plot_dsa_icer_range

<dl>

<dt>ob_results</dt>
<dd>results from deterministic sensitivity analysis</dd>


<dt>plot_var</dt>
<dd>the variable</dd>

</dl>

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plot_dsa_icer_range: Function to do some checks before plotting sensitivity analysis results

Description

Usage

Value

Arguments