MonotonicityTest: Nonparametric Bootstrap Test for Regression Monotonicity

Implements nonparametric bootstrap tests for detecting monotonicity in regression functions from Hall, P. and Heckman, N. (2000) <doi:10.1214/aos/1016120363> Includes tools for visualizing results using Nadaraya-Watson kernel regression and supports efficient computation with 'C++'.

Version:	1.2
Depends:	R (≥ 3.5.0)
Imports:	Rcpp (≥ 1.0.13-1), parallel, stats, graphics, ggplot2 (≥ 3.0.0), rlang
LinkingTo:	Rcpp, RcppEigen
Suggests:	testthat (≥ 3.0.0)
Published:	2025-04-24
Author:	Dylan Huynh [aut, cre]
Maintainer:	Dylan Huynh <dylanhuynh at utexas.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	yes
Materials:	README
CRAN checks:	MonotonicityTest results

Documentation:

Reference manual:

MonotonicityTest.html , MonotonicityTest.pdf

Downloads:

Package source:	MonotonicityTest_1.2.tar.gz
Windows binaries:	r-devel: MonotonicityTest_1.2.zip, r-release: MonotonicityTest_1.2.zip, r-oldrel: MonotonicityTest_1.2.zip
macOS binaries:	r-release (arm64): MonotonicityTest_1.2.tgz, r-oldrel (arm64): MonotonicityTest_1.2.tgz, r-release (x86_64): MonotonicityTest_1.2.tgz, r-oldrel (x86_64): MonotonicityTest_1.2.tgz
Old sources:	MonotonicityTest archive

Reverse dependencies:

Reverse imports:

SurrogateParadoxTest

Linking:

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