simulate_GLM_dataset: Simulate a Data Set to Use With 'misclassGLM'

In misclassGLM: Computation of Generalized Linear Models with Misclassified Covariates Using Side Information

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

misclassGLM documentation built on Sept. 9, 2025, 5:29 p.m.