Estimation and Hypothesis Testing for Threshold Regression
Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models. 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) chngpt: threshold regression model estimation and inference, BMC Bioinformatics, in press, DOI not yet available.

Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models. 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) chngpt: threshold regression model estimation and inference, BMC Bioinformatics, in press, <DOI:10.1186/s12859-017-1863-x>.

c(person("Youyi", "Fong", role = "cre", email = "youyifong@gmail.com"), person("Zonglin", "He", role = "aut", email = "nkhezl@gmail.com"), person("Adam", "Elder", role = "aut", email = "eldera3@uw.edu"))
survival, splines, kyotil, boot, MASS, rgl
Youyi Fong [cre],
Zonglin He [aut],
Adam Elder [aut]

c(person("Youyi", "Fong", role = "cre", email = "youyifong@gmail.com"), person("Zonglin", "He", role = "aut", email = "nkhezl@gmail.com")  )

c(person("Youyi", "Fong", role = "cre", email = "youyifong@gmail.com"), person("Adam", "Elder", role = "aut", email = "eldera3@uw.edu"), person("Hyunju", "Son", role = "aut", email = "hson@uw.edu"), person("Zonglin", "He", role = "aut", email = "nkhezl@gmail.com"), person("Tao", "Yang", role = "aut", email = "tyang23@fredhutch.org"))
survival, splines, kyotil, boot, MASS, methods
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) chngpt: threshold regression model estimation and inference, BMC Bioinformatics, in press, <DOI:10.1186/s12859-017-1863-x>.
Youyi Fong [cre],
Adam Elder [aut],
Hyunju Son [aut],
Zonglin He [aut],
Tao Yang [aut]