gen_outcome_model: Generate data for a multilevel outcome

In OpenSDP/OpenSDPsynthR: Package to generate synthetic data for the OpenSDP Project

Description

Generate data for a multilevel outcome

Usage

gen_outcome_model(fixed, fixed_param, random_var, fact_vars,
  cov_param = NULL, cor_vars = NULL, ngrps, unbalanceRange,
  type = "binary", with_err_gen = NULL, error_var = NULL)

Arguments

fixed	a formula with RHS only that specifies the variables to use
fixed_param	a vector of numerics for the coefficients of variables in fixed
random_var	a numeric, length 1, variance of random (school level) component
fact_vars	for each variable in fixed that is a factor, a definition...
cov_param	a list, defining any continuous variables
cor_vars	correlations between fixed variables
ngrps	number of schools
unbalanceRange	range of enrollments in each school
type	character, either "binary" or "linear" to choose outcome variable type to generate
with_err_gen	name of a distribution function to generate the errors, optional
error_var	integer values to pass to err_gen, optional

Value

a list with two elements

Examples

zed2 <- do.call(gen_outcome_model, sim_control()$gpa_sim_parameters)

OpenSDP/OpenSDPsynthR documentation built on June 20, 2020, 6:18 a.m.