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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++'. Tutorials and shiny application demo are available at <https://www.laylaparast.com/monotonicitytest> and <https://parastlab.shinyapps.io/MonotonicityTest>.

Version:1.3
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:2025-11-06
DOI:10.32614/CRAN.package.MonotonicityTest
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_1.3.tar.gz
Windows binaries: r-devel:MonotonicityTest_1.3.zip, r-release:MonotonicityTest_1.3.zip, r-oldrel:MonotonicityTest_1.3.zip
macOS binaries: r-release (arm64):MonotonicityTest_1.3.tgz, r-oldrel (arm64):MonotonicityTest_1.3.tgz, r-release (x86_64):MonotonicityTest_1.3.tgz, r-oldrel (x86_64):MonotonicityTest_1.3.tgz
Old sources: MonotonicityTest archive

Reverse dependencies:

Reverse imports:SurrogateParadoxTest

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=MonotonicityTestto link to this page.


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