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maxEff (version 0.2.2)

Additional Predictor with Maximum Effect Size

Description

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

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Install

install.packages('maxEff')

Monthly Downloads

193

Version

0.2.2

License

GPL-2

Issues

0

Pull Requests

0

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0

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0

Maintainer

Tingting Zhan

Last Published

February 1st, 2026

Functions in maxEff (0.2.2)

splitd

Split-Dichotomized Regression Model
sort_by.add_

sort_by.add_
add_numeric

Additional Predictor as numeric
maxEff-package

maxEff: Additional Predictor with Maximum Effect Size
add_dummy_partition

Additional logical Predictor via Repeated Partitioning
add_dummy

Additional logical Predictor
node1

Dichotomize via 1st Node of Recursive Partitioning
labels.node1

Find labels from node1
labels.add_dummy

labels.add_dummy
predict_add_dummy

Regression Models with Optimal Dichotomizing Predictors
predict.node1

Predict by node1()
print.add_dummy

print.add_dummy
statusPartition

Stratified Partition
predict_add_numeric

Regression Models with Optimal Dichotomizing Predictors
labels.add_numeric

labels.add_numeric
get_cutoff

Get Cutoff Value from a Dichotomizing Rule node1()
print.add_numeric

print.add_numeric
subset.add_dummy

S3 Method Dispatches to 'add_dummy' Class