Package: PSF 0.3

PSF: Forecasting of univariate time series using the Pattern Sequence-based Forecasting (PSF) algorithm

Pattern Sequence Based Forecasting (PSF) takes univariate time series data as input and assist to forecast its future values. This algorithm forecasts the behavior of time series based on similarity of pattern sequences. Initially, clustering is done with the labeling of samples from database. The labels associated with samples are then used for forecasting the future behaviour of time series data. The further technical details and references regarding PSF are discussed in Vignette.

Authors:Neeraj Bokde, Gualberto Asencio-Cortes and Francisco Martinez-Alvarez

PSF_0.3.tar.gz
PSF_0.3.zip(r-4.7)PSF_0.3.zip(r-4.6)PSF_0.3.zip(r-4.5)
PSF_0.3.tgz(r-4.6-any)PSF_0.3.tgz(r-4.5-any)
PSF_0.3.tar.gz(r-4.7-any)PSF_0.3.tar.gz(r-4.6-any)
PSF_0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
PSF/json (API)

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

Bug tracker:https://github.com/neerajdhanraj/psf/issues

On CRAN:

Conda:

6.66 score 17 stars 1 packages 36 scripts 311 downloads 5 mentions 2 exports 38 dependencies

Last updated from:e48a234536. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING118
source / vignettesOK176
linux-release-x86_64WARNING104
macos-release-arm64WARNING76
macos-oldrel-arm64WARNING92
windows-develWARNING107
windows-releaseWARNING76
windows-oldrelWARNING62
wasm-releaseOK103

Exports:psfpsf_plot

Dependencies:cliclustercolorspacecpp11data.tableevaluatefarverforecastfracdiffgenericsggplot2gluegtablehighrisobandknitrlabelinglatticelifecyclelmtestmagrittrnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrxfunyamlzoo

Introduction to Pattern Sequence based Forecasting (PSF) algorithm

Rendered fromPSF_vignette.Rmdusingknitr::rmarkdownon May 11 2026.

Last update: 2016-12-15
Started: 2016-06-14