# mhglm_sim

From mbest v0.6
0th

Percentile

##### Simulate response patterns

Simulate response patterns for generalized linear models of gaussian or binomial families, with both an intercept and slope covariate. Used primarily for testing purposes.

Keywords
datagen
##### Usage
mhglm_sim(n, m_per_level, sd_intercept, sd_slope,
family = c("gaussian", "binomial"), seed)
##### Arguments
n

an integer scalar, the number of observations at the lowest grouping level.

m_per_level

an integer vector, the number of grouping levels nested under the level above.

sd_intercept

a numeric vector, the standard deviations of the intercept random effects.

sd_slope

a numeric vector, the standard deviations of the slope random effects.

family

a character scalar, either "gaussian" or "binomial".

seed

a single value, interpreted as an integer, or NULL as in set.seed.

##### Details

returns a data.frame with design matrix, response, and group levels.

• mhglm_sim
##### Examples
# NOT RUN {
mhglm_sim(n = 2, m_per_level = c(3, 3), sd_intercept = c(1, 2),
sd_slope = c(2, 1), family = "gaussian", seed = 123)

mhglm_sim(n = 2, m_per_level = c(3, 3), sd_intercept = c(1, 2),
sd_slope = c(2, 1), family = "binomial", seed = 123)
# }