rhglm function

Random HGLM Data

A simple data generator for testing and example purposes.

rhglm(
  n,
  beta,
  sigma = diag(length(beta) - 1L),
  family = gaussian(),
  truncate_mu = FALSE,
  as_list = FALSE,
  ...
)

Arguments

• n: the number of observations to be created.
• beta: a numeric vector giving the magnitude of the coefficients (the first element is assumed to be the intercept).
• sigma: a positive-definite symmetric matrix giving the covariance structure of the covariates (passed to MASS::mvrnorm).
• family: the family of the inverse link.
• truncate_mu: a logical giving if mu should be truncated if necessary.
• as_list: a logical (default is FALSE), if TRUE a list is returned otherwise a data.frame is returned.
• ...: addtional optional parameters. The arguments are passed to the random variables generating function of the response.

Returns

A data.frame (or list) containing the generated data.

Examples

rhglm(10, 1:5)
rhglm(10, 1:5, family = binomial())

See Also

Other simulation: cov_matrix()