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PSF  

Forecasting of Univariate Time Series Using the Pattern Sequence-Based Forecasting (PSF) Algorithm
View on CRAN: Click here


Download and install PSF package within the R console
Install from CRAN:
install.packages("PSF")

Install from Github:
library("remotes")
install_github("cran/PSF")

Install by package version:
library("remotes")
install_version("PSF", "0.5")



Attach the package and use:
library("PSF")
Maintained by
Neeraj Bokde
[Scholar Profile | Author Map]
First Published: 2016-03-25
Latest Update: 2021-10-13
Description:
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.
How to cite:
Neeraj Bokde (2016). PSF: Forecasting of Univariate Time Series Using the Pattern Sequence-Based Forecasting (PSF) Algorithm. R package version 0.5, https://cran.r-project.org/web/packages/PSF. Accessed 07 Apr. 2025.
Previous versions and publish date:
0.1.1 (2016-04-17 19:39), 0.1 (2016-03-25 14:48), 0.2.1 (2016-06-18 18:46), 0.3 (2016-08-19 21:05), 0.4 (2017-04-23 20:13)
Other packages that cited PSF R package
View PSF citation profile
Other R packages that PSF depends, imports, suggests or enhances
Complete documentation for PSF
Functions, R codes and Examples using the PSF R package
Some associated functions: plot.psf . predict.psf . psf . 
Some associated R codes: convert_datatype.R . optimum_k.R . optimum_w.R . psf.R . psf_plot.R . psf_predict.R . psf_predict_internal.R .  Full PSF package functions and examples
Downloads during the last 30 days
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