simData_mzip

A simulated data set containing multivariate zero-inflated count responses and a continuous covariate

datasets

multivariate zero-inflated count data

Bayesian variable selection methods for data with multivariate responses and multiple covariates. The package contains implementations of multivariate Bayesian variable selection methods for continuous data (Lee et al., Biometrics, 2017 <doi:10.1111/biom.12557>) and zero-inflated count data (Lee et al., Biostatistics, 2020 <doi:10.1093/biostatistics/kxy067>).

Kyu Lee

mBvs

Bayesian Variable Selection Methods for Multivariate Data

simData_mzip function

a list of two data frame objects. Components include,<dl>
 <dt><code>Y</code></dt>
<dd>a data frame for 10 multivariate count responses from 300 observations: <code>Y.1</code>-<code>Y.10</code></dd> <dt><code>X</code></dt>
<dd>a data frame for a single continuous covariate from 300 observations: <code>cov.1</code></dd>
 
 
</dl>

Format

A simulated data set containing multivariate zero-inflated count responses and a continuous covariate — simData_mzip

a list of two data frame objects. Components include,<dl>
 <dt><code>Y</code></dt>
<dd>a data frame for 10 multivariate count responses from 300 observations: <code>Y.1</code>-<code>Y.10</code></dd>

 <dt><code>X</code></dt>
<dd>a data frame for a single continuous covariate from 300 observations: <code>cov.1</code></dd>
 
 
</dl>

simData_mzip: A simulated data set containing multivariate zero-inflated count responses and a continuous covariate

Description

Usage

Arguments

Format

Examples