estimate_snr

Monte Carlo approximation of the SNR

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

estimate_snr function

<dl><dt>ymod</dt>
<dd>A OutcomeModel object</dd>
<dt>xmod</dt>
<dd>A MixtureModel object</dd>
<dt>m</dt>
<dd>Number of MC samples</dd>
<dt>R</dt>
<dd>Number of bootstrap replicates</dd></dl>

Arguments

Monte Carlo approximation of the SNR — estimate_snr

<dl>

<dt>ymod</dt>
<dd>A OutcomeModel object</dd>


<dt>xmod</dt>
<dd>A MixtureModel object</dd>


<dt>m</dt>
<dd>Number of MC samples</dd>


<dt>R</dt>
<dd>Number of bootstrap replicates</dd>

</dl>

estimate_snr: Monte Carlo approximation of the SNR

Description

Usage

Value

Arguments