Hello I’m not sure whether this strictly speaking counts as an R-help query but anyway… I have been using the Yamamoto test in the BreakPoints package to find breakpoints in flow data for Scottish rivers. However, I can’t really just use the Yamamoto test as a “black box” ie data in, data out -- I need to find the actual algorithm which the Yamamoto test uses, either in algebraic form or as R code, but despite exhaustive searching I can’t find it. I’ve tried to find a Github repository and various other things but nothing comes up to give detailed information about the Yamamoto test as in the package. The original 1985 paper
Climatic Jump: A Hypothesis in Climate Diagnosis Ryozaburo Yamamoto <https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Ryozaburo+Yamamoto> , Tatsuya Iwashima <https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Tatsuya+Iwashima> , Sanga-Ngoie Kazadi <https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Sanga-Ngoie+Kazadi> , Makoto Hoshiai <https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Makoto+Hoshiai> which is cited on the CRAN R info BreakPoints: Identify Breakpoints in Series of Data (r-project.org) <https://cran.r-project.org/web/packages/BreakPoints/BreakPoints.pdf> doesn’t give any details. There is another paper by Yamamoto et al (1987) Proc. NIPR Symp. Polar Meteorol. Glaciol., 1, 91-102, 1987 but the method is not very clear and whether it’s actually what the package does I can’t tell. There is info about a Toda-Yamamoto causality test but this doesn’t seem to be the same thing as the Yamamoto test in the R package BreakPoints If anyone can point me to where either an algebraic algorithm or the R code is I’d be v grateful Thanks Nick Wray [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
