compute_icers

compute icers for non-dominated strategies

internal

A suite of functions for analyzing and visualizing the health economic outputs of mathematical models.
This package was developed with funding from the National Institutes of Allergy and Infectious Diseases of the
National Institutes of Health under award no. R01AI138783. The content of this package is solely the
responsibility of the authors and does not necessarily represent the official views of the National Institutes
of Health. The theoretical underpinnings of 'dampack''s functionality are detailed in Hunink et al. (2014)
<doi:10.1017/CBO9781139506779>.

David Garibay

dampack

Decision-Analytic Modeling Package

Fernando Alarid-Escudero

Greg Knowlton

Caleb W. Easterly

Eva Enns

compute_icers function

<dl><dt>non_d</dt>
<dd>a data frame of non-dominated strategies, with columns
"Strategy", "Cost", and "Effect"</dd></dl>

Arguments

compute icers for non-dominated strategies — compute_icers

<dl>

<dt>non_d</dt>
<dd>a data frame of non-dominated strategies, with columns
"Strategy", "Cost", and "Effect"</dd>

</dl>

compute_icers: compute icers for non-dominated strategies

Description

Usage

Value

Arguments