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-4.5)PSF_0.3.zip(r-4.4)PSF_0.3.zip(r-4.3)
PSF_0.3.tgz(r-4.4-any)PSF_0.3.tgz(r-4.3-any)
PSF_0.3.tar.gz(r-4.5-noble)PSF_0.3.tar.gz(r-4.4-noble)
PSF_0.3.tgz(r-4.4-emscripten)PSF_0.3.tgz(r-4.3-emscripten)
PSF.pdf |PSF.html✨
PSF/json (API)

Peer review:

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

On CRAN:

2 exports 16 stars 2.68 score 52 dependencies 2 dependents 5 mentions 28 scripts 404 downloads

Last updated 8 years agofrom:e48a234536. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:psfpsf_plot

Dependencies:cliclustercolorspacecurldata.tableevaluatefansifarverforecastfracdiffgenericsggplot2gluegtablehighrisobandjsonliteknitrlabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxfunxtsyamlzoo