predict_ProbitRE_PoissonRE: Predictions of CRE model on new sample

In PanelCount: Random Effects and/or Sample Selection Models for Panel Count Data

Predictions of CRE model on new sample

Description

Predictions of CRE model on new sample. Please make sure the factor variables in the test data do not have levels not shown in the training data.

Usage

predict_ProbitRE_PoissonRE(
  par,
  sel_form,
  out_form,
  data,
  offset_w_name = NULL,
  offset_x_name = NULL
)

Arguments

par	Model estimates
sel_form	Formula for selection equation, a Probit model with random effects
out_form	Formula for outcome equation, a Poisson Lognormal model with random effects
data	Input data, a data.frame object
offset_w_name	Offset variables in selection equation, if any.
offset_x_name	Offset variables in outcome equation, if any.

Value

A list with three sets of predictions

• prob: Predicted probability to participate

• outcome: Predicted potential outcome

• actual_outcome: Predicted actual outcome

PanelCount documentation built on Oct. 7, 2022, 9:05 a.m.