WQSdata

Correlation and concentration patterns were loosely based on NHL data.

datasets

Fits weighted quantile sum (WQS) regressions for one or more chemical groups with continuous or binary outcomes. Wheeler D, Czarnota J.(2016) <doi:10.1289/isee.2016.4698>.

Matthew Carli

groupWQS

Grouped Weighted Quantile Sum Regression

WQSdata function

A data frame with 1000 rows and 10 variables:<dl class="dl-horizontal">
<dt>X1</dt><dd>a numeric vector</dd>
<dt>X2</dt><dd>a numeric vector</dd>
<dt>X3</dt><dd>a numeric vector</dd>
<dt>X4</dt><dd>a numeric vector</dd>
<dt>X5</dt><dd>a numeric vector</dd>
<dt>X6</dt><dd>a numeric vector</dd>
<dt>X7</dt><dd>a numeric vector</dd>
<dt>X8</dt><dd>a numeric vector</dd>
<dt>X9</dt><dd>a numeric vector</dd>
<dt>y</dt><dd>a numeric vector; the outcome variable</dd>
</dl>

Format

Simulated data of chemical concentrations and one continuous outcome variable — WQSdata

A data frame with 1000 rows and 10 variables:<dl class='dl-horizontal'>
<dt>X1</dt><dd>a numeric vector</dd>
<dt>X2</dt><dd>a numeric vector</dd>
<dt>X3</dt><dd>a numeric vector</dd>
<dt>X4</dt><dd>a numeric vector</dd>
<dt>X5</dt><dd>a numeric vector</dd>
<dt>X6</dt><dd>a numeric vector</dd>
<dt>X7</dt><dd>a numeric vector</dd>
<dt>X8</dt><dd>a numeric vector</dd>
<dt>X9</dt><dd>a numeric vector</dd>
<dt>y</dt><dd>a numeric vector; the outcome variable</dd>
</dl>

WQSdata: Simulated data of chemical concentrations and one continuous outcome variable

Description

Usage

Arguments

Format