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FDRSeg  

FDR-Control in Multiscale Change-Point Segmentation
View on CRAN: Click here


Download and install FDRSeg package within the R console
Install from CRAN:
install.packages("FDRSeg")

Install from Github:
library("remotes")
install_github("cran/FDRSeg")

Install by package version:
library("remotes")
install_version("FDRSeg", "1.0-3")



Attach the package and use:
library("FDRSeg")
Maintained by
Timo Aspelmeier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-07
Latest Update:
Description:
Estimate step functions via multiscale inference with controlled false discovery rate (FDR). For details see H. Li, A. Munk and H. Sieling (2016) .
How to cite:
Timo Aspelmeier (2017). FDRSeg: FDR-Control in Multiscale Change-Point Segmentation. R package version 1.0-3, https://cran.r-project.org/web/packages/FDRSeg. Accessed 10 Mar. 2026.
Previous versions and publish date:
1.0-2 (2017-09-07 19:30), 1.0-3 (2017-09-20 10:34)
Other packages that cited FDRSeg R package
View FDRSeg citation profile
Other R packages that FDRSeg depends, imports, suggests or enhances
Functions, R codes and Examples using the FDRSeg R package
Some associated functions: FDRSeg-package . computeFdp . dfdrseg . evalStepFun . fdrseg . simulQuantile . smuce . teethfun . v_measure . 
Some associated R codes: RcppExports.R . main.R . simulQuantile.R . utility.R .  Full FDRSeg package functions and examples
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