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
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TSF.pdf |TSF.html
TSF/json (API)

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

Peer review:

On CRAN:

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

3 exports 1.45 score 45 dependencies 5 mentions 30 scripts 156 downloads

Last updated 7 years agofrom:9f4807ea94. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winOKSep 13 2024
R-4.5-linuxOKSep 13 2024
R-4.4-winOKSep 13 2024
R-4.4-macOKSep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 2024

Exports:fdseriesforecastTSFStructuralBrekwithLongmemory

Dependencies:clicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo