gen_multilevel: Generate simulated data for multilevel models

In iprior: Regression Modelling using I-Priors

Description

Generate simulated data for multilevel models

Usage

gen_multilevel(n = 25, m = 6, sigma_e = 2, sigma_u0 = 2,
  sigma_u1 = 2, sigma_u01 = -2, beta0 = 0, beta1 = 2,
  x.jitter = 0.5, seed = NULL)

Arguments

n	Sample size. Input either a single number for a balanced data set, or a vector of length m indicating the sample size in each group.
m	Number of groups/levels.
sigma_e	The standard deviation of the errors.
sigma_u0	The standard deviation of the random intercept.
sigma_u1	The standard deviation of the random slopes.
sigma_u01	The covariance of between the random intercept and the random slope.
beta0	The mean of the random intercept.
beta1	The mean of the random slope.
x.jitter	A small amount of jitter is added to the X variables generated from a normal distribution with mean zero and standard deviation equal to x.jitter.
seed	(Optional) Random seed.

Value

A dataframe containing the response variable y, the unidimensional explanatory variables X, and the levels/groups (factors).

Examples

gen_multilevel()

iprior documentation built on May 2, 2019, 3:21 a.m.