pred: Generate Predicted Frequencies for Models

In oneinfl: Estimates OIPP and OIZTNB Regression Models

Generate Predicted Frequencies for Models

Description

Computes the predicted frequencies for a specified model, given the observed data and maximum count value. This function supports models estimated using oneinfl or truncreg.

Usage

pred(model, df, maxpred)

Arguments

model	A fitted model object, either a one-inflated model (class "oneinflmodel") or a truncated model (class "truncmodel").
df	A data frame containing the variables used in the model.
maxpred	Optional. The maximum count value for which predictions are generated. Defaults to the maximum observed count in df.

Details

The function computes predicted frequencies based on the type of model and its distribution:

• PP (Poisson, zero-truncated): Computes predictions for a zero-truncated Poisson model.

• ZTNB (Negative Binomial, zero-truncated): Computes predictions for a zero-truncated negative binomial model.

• OIPP (Poisson, one-inflated): Computes predictions for a one-inflated Poisson model.

• OIZTNB (Negative Binomial, one-inflated, zero-truncated): Computes predictions for a one-inflated, zero-truncated negative binomial model.

The predictions are generated for count values from 1 to maxpred. For one-inflated models, the predictions account for the one-inflation probabilities.

This is an internal function primarily used by oneplot for visualization purposes.

Value

A numeric vector of predicted frequencies for count values from 1 to maxpred.

See Also

oneplot for visualizing observed and predicted frequencies. oneinfl for fitting one-inflated models. truncreg for fitting zero-truncated models.

oneinfl documentation built on April 4, 2025, 12:05 a.m.