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fpopw  

Weighted Segmentation using Functional Pruning and Optimal Partioning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fpopw", "1.1")



Attach the package and use:
library("fpopw")
Maintained by
Guillem Rigaill
[Scholar Profile | Author Map]
First Published: 2022-06-01
Latest Update: 2022-06-05
Description:
Weighted-L2 FPOP Maidstone et al. (2017) and pDPA/FPSN Rigaill (2010) algorithm for detecting multiple changepoints in the mean of a vector. Also includes a few model selection functions using Lebarbier (2005) and the 'capsushe' package.
How to cite:
Guillem Rigaill (2022). fpopw: Weighted Segmentation using Functional Pruning and Optimal Partioning. R package version 1.1, https://cran.r-project.org/web/packages/fpopw. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0 (2022-06-01 18:00)
Other packages that cited fpopw R package
View fpopw citation profile
Other R packages that fpopw depends, imports, suggests or enhances
Complete documentation for fpopw
Functions, R codes and Examples using the fpopw R package
Some associated functions: Fpop . Fpop_w . Fpsn . Fpsn_w . Fpsn_w_nomemory . compress.data . fpopw . get.change . getSMT . getSMT_ . getSegSums_ . getTau_nomemory . retour_op . retour_sn . saut . sdDiff . select_Fpsn . uncompress.smt . uncompress.vec . 
Some associated R codes: compression.R . fpaccess.R . fpopw.R . simpleSelection.R .  Full fpopw package functions and examples
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