simulate_mlogit_dataset: Simulate a Data Set to Use With 'misclassMlogit'

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

Simulate a Data Set to Use With misclassMlogit

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 drawn from a multionomial distribution dependent on X and M.

Usage

simulate_mlogit_dataset(
  n = 1000,
  const = c(0, 0),
  alpha = c(1, 2),
  beta = -2 * c(1, 2),
  beta2 = NULL
)

Arguments

n	number observations
const	constants
alpha	parameters for X
beta	parameters for M(1)
beta2	parameters for M2, if NULL, M is a binary covariate, otherwise a three-valued categorical.

Details

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

See Also

misclassMlogit

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