predict_hierNest: Predict Method for hierNest Objects

In hierNest: Penalized Regression with Hierarchical Nested Parameterization Structure

Predict Method for hierNest Objects

Description

Provides predictions from a fitted hierarchical model ('hierNest') using new data.

Usage

predict_hierNest(
  object,
  newx,
  hier_info,
  type = c("link", "response", "coefficients", "nonzero", "class"),
  ...
)

Arguments

object	A fitted hierNest model object.
newx	A numeric matrix of new predictor values for prediction.
hier_info	A numeric matrix with hierarchical grouping information. First column is MDC-level grouping; second column is DRG-level grouping.
type	Character string specifying the type of prediction required. Options include "link", "response", "coefficients", "nonzero", and "class".
...	Additional arguments passed to lower-level prediction methods.

Details

This function prepares a hierarchical design matrix based on 'hier_info', constructs the required Khatri-Rao product, and reorganizes it before generating predictions from the provided 'object'.

Value

Predictions based on the specified 'type'. Typically, returns:

• Numeric vector or matrix of predicted values (for "link" or "response").

• Model coefficients (for "coefficients").

• Nonzero coefficient indices (for "nonzero").

• Class labels for categorical outcomes (for "class").

hierNest documentation built on March 24, 2026, 5:07 p.m.