set_value

This function updates values in an OutcomeModel object

A flexible framework for power analysis using Monte
Carlo simulation for settings in which considerations of the correlations
between predictors are important. Users can set up a data generative model
that preserves dependence structures among predictors given existing data
(continuous, binary, or ordinal). Users can also generate power curves to
assess the trade-offs between sample size, effect size, and power of a design.
This package includes several statistical models common in environmental
mixtures studies. For more details and tutorials, see Nguyen et al. (2022) <arXiv:2209.08036>.

Phuc H. Nguyen

mpower

Power Analysis via Monte Carlo Simulation for Correlated Data

set_value function

<dl><dt>obj</dt>
<dd>An OutcomeModel object</dd>
<dt>name</dt>
<dd>A string for name of the attribute to be changed</dd>
<dt>value</dt>
<dd>An appropriate data type</dd></dl>

Arguments

This function updates values in an OutcomeModel object — set_value

<dl>

<dt>obj</dt>
<dd>An OutcomeModel object</dd>


<dt>name</dt>
<dd>A string for name of the attribute to be changed</dd>


<dt>value</dt>
<dd>An appropriate data type</dd>

</dl>

set_value: This function updates values in an OutcomeModel object

Description

Usage

Arguments