segmented: An R package to Fit Regression Models with Broken-Line Relationships

By Vito M. R. Muggeo, Muggeo Vm. 2008

912 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2b4ae6c9654135af24c3165c13f376f3c2868ba1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Basic and extensible post-processing of eddy covariance flux data with REddyProc (2018, methodology): “REddyProc provides this method by estimating the breakpoint based on unbinned records within the seasons/temperature subsets using the segmented R-package (Muggeo, 2003, 2008).”
Genetically Engineered Herbicide-Resistant Crops and Herbicide-Resistant Weed Evolution in the United States (2017, unknown): “The ‘ segmented ’ package in R (Muggeo 2008) allows estimation of the break point in the data and also provides a method for testing whether the regression model with different slopes before and after a break point is significantly better than a simple linear regression (Davies 2002).”
Using opportunistic citizen science data to estimate avian population trends (2018, unknown): “We used the R package ‘segmented’ to identify a breakpoint where the improvement of trend estimates slowed considerably (Muggio, 2008).”
How semantic memory structure and intelligence contribute to creative thought: a network science approach (2017, methodology): “A powerful detection of nonlinear relationships with unknown inflection points can be achieved by means of the segmented regression analysis (Mueggo, 2008) or necessary condition analysis (Dul, 2016), but these methods require larger sample sizes in order to provide robust estimates.”
Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, unknown): “The resultant plasmid has the”