generate_mvGamma_data: Generate Multivariate Skewed Gamma Transformed Data

In simBKMRdata: Helper Functions for Bayesian Kernel Machine Regression

Generate Multivariate Skewed Gamma Transformed Data

Description

This function generates multivariate normal samples, transforms them into Z-scores, and then calls the qgamma() function to transform the values for each correlated variable to those from a Gamma distribution.

Usage

generate_mvGamma_data(sampSize, sampCorr_mat, shape_num, rate_num)

Arguments

sampSize	Number of samples to generate.
sampCorr_mat	A correlation matrix for the normal distribution.
shape_num	A numeric vector of shape parameters for the Gamma transformation.
rate_num	A numeric vector of rate parameters for the Gamma transformation. Second column: https://en.wikipedia.org/wiki/Gamma_distribution

Value

A data frame containing the transformed Gamma samples.

Examples

p <- 4
N <- 1000
shapeGamma_num <- c(0.5, 0.75, 1, 1.25)
rateGamma_num <- 1:4
cov_mat <- diag(p)
generate_mvGamma_data(N, cov_mat, shapeGamma_num, rateGamma_num)

simBKMRdata documentation built on Sept. 14, 2026, 1:07 a.m.