HomUHet.sim.beta: simulates homogeneous and heterogeneous coefficients of...

In Pei-Yang/HomUHet: Identifying and Separating Homogeneous and Heterogeneous Predictors

Description

this function outputs matrix of coefficients of predictors

Usage

HomUHet.sim.beta(J, K, n_homo, n_heter, level = c("l", "m", "h"))

Arguments

J	The total number of predictors including the predictors with homogeneous and heterogeneous effects and the predictors without effects
K	The number of studies
n_homo	the number of homogeneous coefficients
n_heter	the number of heterogeneous coefficients
level	the level of heterogeneity in the heterogeneous coefficients, where "l" stands for low, "m" stands for medium and "h" stands for high.

Value

the simulated coefficient matrix and miscellenance information about it

beta	the K x J coefficient matrix
J	the number of predictors including both predictors which have effects and which do not
K	the number of studies
homo_index	a vector containing the column numbers of homogeneous coefficients in the coefficient matrix
heter_index	a vector containing the column numbers of homogeneous coefficients in the coefficient matrix

Pei-Yang/HomUHet documentation built on Dec. 18, 2021, 6:46 a.m.