predict.cat_lmm: Predict Linear Predictor for New Data Using a Fitted Linear...

In catalytic: Tools for Applying Catalytic Priors in Statistical Modeling

Predict Linear Predictor for New Data Using a Fitted Linear Mixed Model

Description

This function calculates the linear predictor (LP) for new data points based on a fitted linear mixed model (LMM) stored in object.

Usage

## S3 method for class 'cat_lmm'
predict(object, newdata = NULL, ...)

Arguments

object	A fitted model object of class cat_lmm, containing the LMM fit and model details.
newdata	An optional data frame with new predictor values. If NULL, the function uses the observation data from the model's initialization object.
...	Additional arguments passed to other functions.

Value

A vector of linear predictor values for the specified new data.

catalytic documentation built on April 4, 2025, 5:51 a.m.