.skewness

Helper function to calculate skewness for a vector

Provides a suite of helper functions to support Bayesian Kernel
Machine Regression (BKMR) analyses in environmental health research. It
enables the simulation of realistic multivariate exposure data using
Multivariate Skewed Gamma distributions, estimation of distributional
parameters by subgroup, and application of adaptive, data-driven thresholds
for feature selection via Posterior Inclusion Probabilities (PIPs). It is
especially suited for handling skewed exposure data and enhancing the
interpretability of BKMR results through principled variable selection. The
methodology is shown in Hasan et. al. (2025) <doi:10.1101/2025.04.14.25325822>.

Kazi Tanvir Hasan

simBKMRdata

Helper Functions for Bayesian Kernel Machine Regression

Gabriel Odom

Roberto Lucchini

.skewness function

<dl><dt>x</dt>
<dd>A numeric vector of data</dd>
<dt>mean_vec</dt>
<dd>The mean of the data</dd>
<dt>sampSD</dt>
<dd>The standard deviation of the data</dd>
<dt>N</dt>
<dd>The sample size</dd></dl>

Arguments

Helper function to calculate skewness for a vector — .skewness

<dl>

<dt>x</dt>
<dd>A numeric vector of data</dd>


<dt>mean_vec</dt>
<dd>The mean of the data</dd>


<dt>sampSD</dt>
<dd>The standard deviation of the data</dd>


<dt>N</dt>
<dd>The sample size</dd>

</dl>

.skewness: Helper function to calculate skewness for a vector

Description

Usage

Value

Arguments