maxEff0.2.2 package

Additional Predictor with Maximum Effect Size

add_dummy_partition

Additional logical Predictor via Repeated Partitioning

add_dummy

Additional logical Predictor

add_numeric

Additional Predictor as numeric

get_cutoff

Get Cutoff Value from a Dichotomizing Rule node1()

labels.add_dummy

labels.add_dummy

labels.add_numeric

labels.add_numeric

labels.node1

Find labels from node1

maxEff-package

maxEff: Additional Predictor with Maximum Effect Size

node1

Dichotomize via 1st Node of Recursive Partitioning

predict_add_dummy

Regression Models with Optimal Dichotomizing Predictors

predict_add_numeric

Regression Models with Optimal Dichotomizing Predictors

predict.node1

Predict by node1()

print.add_dummy

print.add_dummy

print.add_numeric

print.add_numeric

sort_by.add_

sort_by.add_

splitd

Split-Dichotomized Regression Model

statusPartition

Stratified Partition

subset.add_dummy

S3 Method Dispatches to 'add_dummy' Class

Download source packageRead PDF manual

Methods of selecting one from many numeric predictors for a regression model, to ensure that the additional predictor has the maximum effect size.

  • Maintainer: Tingting Zhan
  • License: GPL-2
  • Last published: 2026-02-01

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