simul_x_block

Simulate covariate matrix with block structure

Quantitative characterization of the health impacts associated with exposure to chemical mixtures has received considerable attention in current environmental and epidemiological studies. 'CompMix' package allows practitioners to estimate the health impacts from exposure to chemical mixtures data through various statistical approaches, including Lasso, Elastic net, Bayeisan kernel machine regression (BKMR), hierNet, Quantile g-computation, Weighted quantile sum (WQS) and Random forest. Hao W, Cathey A, Aung M, Boss J, Meeker J, Mukherjee B. (2024) "Statistical methods for chemical mixtures: a practitioners guide". <DOI:10.1101/2024.03.03.24303677>.

Wei Hao

CompMix

A Comprehensive Toolkit for Environmental Mixtures Analysis
('CompMix')

simul_x_block function

<dl><dt>n</dt>
<dd>a positive integer to indicate sample size</dd>
<dt>p</dt>
<dd>a positive integer to specify the number of covariates</dd>
<dt>block_idx</dt>
<dd>a vector of positive integers to indicate the block IDs.
The length of the vector is p.</dd>
<dt>sigma2_x</dt>
<dd>a positive numeric scalar for variance of the covariates</dd>
<dt>within_rho</dt>
<dd>a numeric scalar between 0 and 1 for the within block correlation</dd>
<dt>btw_rho</dt>
<dd>a numeric scalar between 0 and 1 for the between block correlation</dd></dl>

Arguments

Author

Simulate covariate matrix with block structure — simul_x_block

<dl>

<dt>n</dt>
<dd>a positive integer to indicate sample size</dd>


<dt>p</dt>
<dd>a positive integer to specify the number of covariates</dd>


<dt>block_idx</dt>
<dd>a vector of positive integers to indicate the block IDs.
The length of the vector is p.</dd>


<dt>sigma2_x</dt>
<dd>a positive numeric scalar for variance of the covariates</dd>


<dt>within_rho</dt>
<dd>a numeric scalar between 0 and 1 for the within block correlation</dd>


<dt>btw_rho</dt>
<dd>a numeric scalar between 0 and 1 for the between block correlation</dd>

</dl>

simul_x_block: Simulate covariate matrix with block structure

Description

Usage

Value

Arguments

Author

Examples