all_interactions

Generate a string with all interactions of a certain degree, to be used in a GAM formula

Methods to calculate the expected value of information from a decision-analytic model. This includes the expected value of perfect information (EVPI), partial perfect information (EVPPI) and sample information (EVSI), and the expected net benefit of sampling (ENBS). A range of alternative computational methods are provided under the same user interface. See Heath et al. (2024) <doi:10.1201/9781003156109>, Jackson et al. (2022) <doi:10.1146/annurev-statistics-040120-010730>.

Christopher Jackson

Expected Value of Information

Anna Heath

Gianluca Baio

Mark Strong

Kofi Placid Adragni

Andrew Raim

all_interactions function

<dl><dt>x</dt>
<dd>Character vector of variable names</dd>
<dt>degree</dt>
<dd>Maximum interaction degree</dd></dl>

Arguments

Generate a string with all interactions of a certain degree, to be used in a GAM formula — all_interactions

<dl>

<dt>x</dt>
<dd>Character vector of variable names</dd>


<dt>degree</dt>
<dd>Maximum interaction degree</dd>

</dl>

all_interactions: Generate a string with all interactions of a certain degree, to be used in a GAM formula

Description

Usage

Value

Arguments

Examples