generate_data_MASSIVE_model: Function to generate data from a MASSIVE generating model.

In igbucur/MASSIVE: MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models

Description

Function to generate data from a MASSIVE generating model.

Usage

generate_data_MASSIVE_model(N, n, p, par, seed = NULL, log_scale = FALSE)

Arguments

N	Integer number of observations.
n	Integer number of alleles (trials) for the binomial genetic variables.
p	Numeric expected allele frequencies for the genetic variables.
par	List of MASSIVE model parameters
seed	Integer representing seed for random number generation.
log_scale	Logical flag indicating whether scale parameters sigma_X and sigma_Y are given on the log-scale or normal scale.

Value

List containing generate data vector as well as the scatter matrix of first-order and second-order statistics.

Examples

J <- 5 # number of instruments
par <- random_Gaussian_parameters(J)
generate_data_MASSIVE_model(N = 1000, n = 2, p = rep(0.3, J), par)

igbucur/MASSIVE documentation built on Oct. 26, 2020, 1:26 a.m.