misclassGLM (version 0.3.6)

simulate_GLM_dataset: 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

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
)
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.

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

See Also

misclassGLM

misclassGLM