ExtractPIPs_parallel

Posterior inclusion probabilities by chain

Bayesian kernel machine regression (from the 'bkmr' package)
is a Bayesian semi-parametric generalized linear model approach under
identity and probit links. There are a number of functions in this
package that extend Bayesian kernel machine regression fits to allow
multiple-chain inference and diagnostics, which leverage functions
from the 'future', 'rstan', and 'coda' packages. Reference: Bobb, J.
F., Henn, B. C., Valeri, L., & Coull, B. A. (2018). Statistical
software for analyzing the health effects of multiple concurrent
exposures via Bayesian kernel machine regression. ;
<doi:10.1186/s12940-018-0413-y>.

Alexander Keil

bkmrhat

Parallel Chain Tools for Bayesian Kernel Machine Regression

ExtractPIPs_parallel function

<dl><dt>x</dt>
<dd>bkmrfit.list object from <code>kmbayes_parallel</code></dd>
<dt>...</dt>
<dd>arguments to <code>ExtractPIPs</code></dd></dl>

Arguments

Posterior inclusion probabilities by chain — ExtractPIPs_parallel

<dl>

<dt>x</dt>
<dd>bkmrfit.list object from <code>kmbayes_parallel</code></dd>


<dt>...</dt>
<dd>arguments to <code>ExtractPIPs</code></dd>

</dl>

ExtractPIPs_parallel: Posterior inclusion probabilities by chain

Description

Usage

Value

Arguments