simulate_GLM_dataset {misclassGLM}

Simulate a Data Set to Use With misclassGLM

Description

simulates a data set with - one continuous variable X drawn from a Gaussian distribution, - a binary or trinary variable M with misclassification (M2) - a dependent variable either with added Gaussian noise or drawn from a logit distribution

Usage

simulate_GLM_dataset(
  n = 50000,
  const = 0,
  alpha = 1,
  beta = -2,
  beta2 = NULL,
  logit = FALSE
)

Arguments

n

number observations

const

constant

alpha

parameter for X

beta

parameter for M(1)

beta2

parameter for M2, if NULL, M is a binary covariate, otherwise a three-valued categorical

logit

logical, if true logit regression, otherwise Gaussian regression

Details

This can be used to demonstrate the abilities of misclassGLM. For an example see misclassGLM.

See Also

misclassGLM