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chngpt  

Estimation and Hypothesis Testing for Threshold Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("chngpt", "2024.11-15")



Attach the package and use:
library("chngpt")
Maintained by
Youyi Fong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-09-09
Latest Update: 2024-11-12
Description:
Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models, with and without interaction terms. Methods for both continuous and discontinuous threshold models are included, but the support for the former is much greater. This package is described in Fong, Huang, Gilbert and Permar (2017) and the package vignette.
How to cite:
Youyi Fong (2013). chngpt: Estimation and Hypothesis Testing for Threshold Regression. R package version 2024.11-15, https://cran.r-project.org/web/packages/chngpt. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:25), 0.1-1 (2013-09-09 11:47), 0.1-2 (2013-10-18 19:54), 2014.3-5 (2014-03-10 07:58), 2014.5-29 (2014-05-30 01:12), 2014.12-2 (2014-12-06 00:17), 2015.9-5 (2015-09-09 09:17), 2016.7-9 (2016-07-10 11:55), 2016.7-31 (2016-07-31 19:22), 2017.08-28 (2017-08-28 20:43), 2017.10-9 (2017-10-10 00:56), 2017.12-3 (2017-12-04 00:26), 2017.12-26 (2018-01-03 10:34), 2018.1-3 (2018-01-04 10:47), 2018.3-20 (2018-03-20 23:18), 2018.3-29 (2018-03-29 22:05), 2018.5-2 (2018-05-02 09:43), 2018.6-2 (2018-06-02 00:08), 2018.7-25 (2018-08-07 17:20), 2018.10-17 (2018-10-30 20:30), 2019.3-6 (2019-03-07 20:02), 2019.3-8 (2019-03-08 23:33), 2019.3-12 (2019-03-13 09:23), 2019.8-28 (2019-08-29 06:40), 2019.9-2 (2019-09-02 20:00), 2019.11-21 (2019-11-21 22:40), 2019.11-26 (2019-11-28 06:40), 2019.11-30 (2019-12-02 11:30), 2020.2-26 (2020-02-27 19:00), 2020.5-13 (2020-05-13 20:20), 2020.5-21 (2020-05-22 07:40), 2020.8-29 (2020-08-30 07:20), 2020.10-12 (2020-10-14 07:30), 2021.5-12 (2021-05-12 18:42), 2022.3-15 (2022-03-16 10:40), 2022.4-6 (2022-04-07 09:42), 2023.1-30 (2023-01-31 21:00), 2023.11-28 (2023-11-29 01:10), 2023.11-29 (2023-12-05 16:30)
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