Skip to contents

Simulation dataset for the heckmanGE example

Source: R/data.R
simulation.Rd

This dataset contains simulated data used to illustrate the functionality of the heckmanGE model. The data includes variables used in selection, outcome, dispersion, and correlation equations.

Usage

simulation

Format

A data frame with 10,000 observations on the following variables:

  • y_o: Outcome variable from the simulated model (numeric)

  • y_s: Selection indicator, 1 if selected, 0 otherwise (binary)

  • prob_s: Probability of selection (numeric)

  • x1: Simulated predictor from a normal distribution (numeric)

  • x2: Simulated predictor from a Poisson distribution (numeric)

  • x3: Simulated binary predictor (binary)

  • x4: Simulated predictor from a normal distribution with mean 2 and sd 2 (numeric)

  • x5: Simulated predictor from a Poisson distribution with lambda 1.5 (numeric)

Examples

data(simulation)
selectEq  <- y_s ~ x1 + x2 + x4
outcomeEq <- y_o ~ x1 + x2 + x3
outcomeD  <- ~ x1 + x5
outcomeC  <- ~ x3 + x4
fit_heckmanGE <- heckmanGE(selection   = selectEq,
                           outcome     = outcomeEq,
                           dispersion  = outcomeD,
                           correlation = outcomeC,
                           data = simulation)
#> Error in eval(mfS): object 'selectEq' not found
summary(fit_heckmanGE)
#> Error: object 'fit_heckmanGE' not found