Other packages > Find by keyword >

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: 2023-12-05
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 19 Apr. 2025.
Previous versions and publish date:
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)
Other packages that cited chngpt R package
View chngpt citation profile
Other R packages that chngpt depends, imports, suggests or enhances
Complete documentation for chngpt
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

tmpm  
Trauma Mortality Prediction Model
Trauma Mortality prediction for ICD-9, ICD-10, and AIS lexicons in long or wide format based on Dr. ...
Download / Learn more Package Citations See dependency  
RNAseqQC  
Quality Control for RNA-Seq Data
Functions for semi-automated quality control of bulk RNA-seq data. ...
Download / Learn more Package Citations See dependency  
opera  
Online Prediction by Expert Aggregation
Misc methods to form online predictions, for regression-oriented time-series, by combining a finite ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
idmTPreg  
Regression Model for Progressive Illness Death Data
Modeling of regression effects for transition probabilities in a progressive illness-death model. A ...
Download / Learn more Package Citations See dependency  
scalreg  
Scaled Sparse Linear Regression
Algorithms for fitting scaled sparse linear regression and estimating precision matrices. ...
Download / Learn more Package Citations See dependency  

24,098

R Packages

207,311

Dependencies

65,069

Author Associations

24,013

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA