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chngpt: threshold regression model estimation and inference

chngpt: threshold regression model estimation and inference

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5ae7158aa60e4b44b310f4a7c3ff6485

chngpt: threshold regression model estimation and inference

About this item

Full title

chngpt: threshold regression model estimation and inference

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2017-10, Vol.18 (1), p.454-454, Article 454

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Threshold regression models are a diverse set of non-regular regression models that all depend on change points or thresholds. They provide a simple but elegant and interpretable way to model certain kinds of nonlinear relationships between the outcome and a predictor.
The R package chngpt provides both estimation and hypothesis testing function...

Alternative Titles

Full title

chngpt: threshold regression model estimation and inference

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5ae7158aa60e4b44b310f4a7c3ff6485

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5ae7158aa60e4b44b310f4a7c3ff6485

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-017-1863-x

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