CRAN/E | stepR

stepR

Multiscale Change-Point Inference

Installation

About

Allows fitting of step-functions to univariate serial data where neither the number of jumps nor their positions is known by implementing the multiscale regression estimators SMUCE, simulataneous multiscale changepoint estimator, (K. Frick, A. Munk and H. Sieling, 2014) doi:10.1111/rssb.12047 and HSMUCE, heterogeneous SMUCE, (F. Pein, H. Sieling and A. Munk, 2017) doi:10.1111/rssb.12202. In addition, confidence intervals for the change-point locations and bands for the unknown signal can be obtained.

Citation stepR citation info

Key Metrics

Version 2.1-9
R ≥ 3.3.0
Published 2023-11-13 171 days ago
Needs compilation? yes
License GPL-3
CRAN checks stepR results

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Maintainer

Maintainer

Pein Florian

f.pein@lancaster.ac.uk

Authors

Pein Florian

aut / cre

Thomas Hotz

aut

Hannes Sieling

aut

Timo Aspelmeier

ctb

Material

ChangeLog
Reference manual
Package source

Vignettes

R package stepR

Classification MSC

62G08
92C40
92D20

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

stepR archive

Depends

R ≥ 3.3.0

Imports

Rcpp ≥ 0.12.3
lowpassFilter ≥ 1.0.0
R.cache ≥0.10.0
digest ≥ 0.6.10
stats
graphics
methods

Suggests

testthat ≥ 1.0.0
knitr

LinkingTo

Rcpp