Nonparametric Bootstrap Test for Regression Monotonicity

Implements nonparametric bootstrap tests for detecting monotonicity in regression functions from Hall, P. and Heckman, N. (2000) 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>.

MonotonicityTest

MonotonicityTest is an R package thart implements nonparametric bootstrap tests for detecting monotonicity in regression functions from Hall, P. and Heckman, N. (2000) doi:10.1214/aos/1016120363. The function includes tools for visualizing results using Nadaraya-Watson kernel regression and supports efficient computation with 'C++'. More details on this package will be available in Huynh D and Parast L. "MonotonicityTest: An R Package for Efficient Nonparametric Monotonicity Testing." (Under Review)

View tutorial at this link.

We also have a shiny app implementing these methods here.