PSF

Forecasting of Univariate Time Series Using the Pattern Sequence-Based Forecasting (PSF) Algorithm

v0.5 · May 1, 2022 · GPL (>= 2)

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.

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Reverse Dependencies (1)

imports

decomposedPSF

Dependency Network

Version History

7 tracked

new 0.5 Mar 10, 2026

updated 0.5 ← 0.4 diff Apr 30, 2022

updated 0.4 ← 0.3 diff Apr 22, 2017

updated 0.3 ← 0.2.1 diff Aug 18, 2016

updated 0.2.1 ← 0.1.1 diff Jun 17, 2016

updated 0.1.1 ← 0.1 diff Apr 16, 2016

new 0.1 Mar 24, 2016