model_response_lm: Simulate response variable (testing function)

In ErickChacon/datasim: Data Simulation Based on Models Formulas

Description

function description.

Usage

model_response_lm(model_frame, formula = attr(model_frame, "formula"),
  link_inv = replicate(length(formula), identity), generator = rnorm,
  responses = c("response"), effects_save = FALSE, seed = NULL)

Arguments

model_frame	A tibble containing all the covariates to be used. Usually this is obtained as the output of the model_frame function.
formula	An optional list of formulas to simulate the parameters of the response variables.
link_inv	A list of function representing the inverse link function for the parameters.
generator	Function to generate the response variables given the parameters
responses	a numeric value indicating the number of response or a character vector indicating the names of the response variables
effects_save	Optional logical argument to save or not generated random effects
seed	Seed to be defined with function set.seed to obtain reproducible results

Examples

formula <- list(
mean ~ I(0.5 * x1) : I(x2) + re(city, 1, 2),
sd ~ I(1)
)
model_frame <- model_frame(formula, n = 10)
model_response_lm(model_frame)

ErickChacon/datasim documentation built on March 25, 2020, 7:53 p.m.