Package: TSF 0.1.1

TSF: Two Stage Forecasting (TSF) for Long Memory Time Series in Presence of Structural Break

Forecasting of long memory time series in presence of structural break by using TSF algorithm by Papailias and Dias (2015) <doi:10.1016/j.ijforecast.2015.01.006>.

Authors:Sandipan Samanta, Ranjit Kumar Paul and Dipankar Mitra

TSF_0.1.1.tar.gz
TSF_0.1.1.zip(r-4.7)TSF_0.1.1.zip(r-4.6)TSF_0.1.1.zip(r-4.5)
TSF_0.1.1.tgz(r-4.6-any)TSF_0.1.1.tgz(r-4.5-any)
TSF_0.1.1.tar.gz(r-4.7-any)TSF_0.1.1.tar.gz(r-4.6-any)
TSF_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TSF/json (API)

# Install 'TSF' in R:
install.packages('TSF', repos = c('https://ranjitstat.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.28 score 38 scripts 171 downloads 5 mentions 3 exports 31 dependencies

Last updated from:9f4807ea94. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK136
source / vignettesOK152
linux-release-x86_64OK122
macos-release-arm64OK101
macos-oldrel-arm64OK103
windows-develOK89
windows-releaseOK80
windows-oldrelOK93
wasm-releaseOK99

Exports:fdseriesforecastTSFStructuralBrekwithLongmemory

Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrzoo