metalExposChildren_df

This dataset originates from a real-world cohort study led by Dr. Lucchini
and collaborators, focusing on environmental exposures in children. It
includes measurements of five metal concentrations—Cadmium, Mercury, Arsenic,
Lead, and Manganese—alongside standardized intelligence quotient (IQ) scores,
and some other socio-economic and demographic variables.

datasets

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

metalExposChildren_df function

<div class="section" id="who">
<h3><code>who</code></h3>
A data frame with 437 rows and 13 columns:<dl>
<dt>ID</dt>
<dd>Subject's ID</dd><dt>age</dt>
<dd>Subject's age in years</dd><dt>QI</dt>
<dd>Intelligence quotient</dd><dt>Cadmium</dt>
<dd>Cd urine concentration	ng/ml</dd><dt>Mercury</dt>
<dd>Hg urine concentration	ng/ml</dd><dt>Arsenic</dt>
<dd>As urine concentration	ng/ml</dd><dt>Lead</dt>
<dd>Pb blood concentration	ng/ml</dd><dt>Manganese</dt>
<dd>Mn hair concentration	ng/g</dd><dt>Sex</dt>
<dd>Student's gender; 1 = Male, 2 = Female</dd><dt>BMI</dt>
<dd>Body Mass Index (kg/m2)</dd><dt>SES</dt>
<dd>Social Economic Status; 1 = LOW, 2 = MEDIUM, 3 = HIGH</dd><dt>Distance_metres</dt>
<dd>Distance to nearest industrial site (m)</dd><dt>SPM</dt>
<dd>Raven's Standard Progressive Matrices</dd>
</dl></div>

Format

Children's Environmental Heavy Metal Exposure Data — metalExposChildren_df

<div class='section' id='who'>
<h3><code>who</code></h3>


A data frame with 437 rows and 13 columns:<dl>
<dt>ID</dt>
<dd>Subject's ID</dd>

<dt>age</dt>
<dd>Subject's age in years</dd>

<dt>QI</dt>
<dd>Intelligence quotient</dd>

<dt>Cadmium</dt>
<dd>Cd urine concentration	ng/ml</dd>

<dt>Mercury</dt>
<dd>Hg urine concentration	ng/ml</dd>

<dt>Arsenic</dt>
<dd>As urine concentration	ng/ml</dd>

<dt>Lead</dt>
<dd>Pb blood concentration	ng/ml</dd>

<dt>Manganese</dt>
<dd>Mn hair concentration	ng/g</dd>

<dt>Sex</dt>
<dd>Student's gender; 1 = Male, 2 = Female</dd>

<dt>BMI</dt>
<dd>Body Mass Index (kg/m2)</dd>

<dt>SES</dt>
<dd>Social Economic Status; 1 = LOW, 2 = MEDIUM, 3 = HIGH</dd>

<dt>Distance_metres</dt>
<dd>Distance to nearest industrial site (m)</dd>

<dt>SPM</dt>
<dd>Raven's Standard Progressive Matrices</dd>


</dl>

</div>

metalExposChildren_df: Children's Environmental Heavy Metal Exposure Data

Description

Usage

Arguments

Format

`who`