simBKMRdata (version 0.1.1)

generate_mvGamma_data: 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)

Value

A data frame containing the transformed Gamma samples.

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

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)