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MonotonicityTest  

Nonparametric Bootstrap Test for Regression Monotonicity
View on CRAN: Click here


Download and install MonotonicityTest package within the R console
Install from CRAN:
install.packages("MonotonicityTest")

Install from Github:
library("remotes")
install_github("cran/MonotonicityTest")

Install by package version:
library("remotes")
install_version("MonotonicityTest", "1.3")



Attach the package and use:
library("MonotonicityTest")
Maintained by
Dylan Huynh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-17
Latest Update: 2025-04-24
Description:
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++'.
How to cite:
Dylan Huynh (2025). MonotonicityTest: Nonparametric Bootstrap Test for Regression Monotonicity. R package version 1.3, https://cran.r-project.org/web/packages/MonotonicityTest. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0 (2025-01-17 11:30), 1.1 (2025-04-02 21:00), 1.2 (2025-04-24 21:20)
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Complete documentation for MonotonicityTest
Functions, R codes and Examples using the MonotonicityTest R package
Full MonotonicityTest package functions and examples
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