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fpopw (version 1.1)

Weighted Segmentation using Functional Pruning and Optimal Partioning

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.

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Version

Install

install.packages('fpopw')

Monthly Downloads

274

Version

1.1

License

GPL (>= 3)

Maintainer

Guillem Rigaill

Last Published

June 5th, 2022

Functions in fpopw (1.1)

saut

saut
retour_sn

retour_sn
retour_op

retour_op
uncompress.vec

uncompress.vec
sdDiff

sdDiff
uncompress.smt

decompress.smt
select_Fpsn

select_Fpsn
compress.data

compress.data
getTau_nomemory

getTau_nomemory
getSegSums_

getSegSums_
Fpsn_w

Fpsn_w
getSMT_

getSMT_
fpopw

fpopw: A package to solve the optimal partionning and segment neighborhood problems using a weighted L2-loss.
get.change

get.change
Fpsn_w_nomemory

Fpsn_w_nomemory
Fpsn

Fpsn
getSMT

getSMT
Fpop_w

Fpop_w
Fpop

Fpop