PSF
0.5Forecasting of Univariate Time Series Using the Pattern Sequence-Based Forecasting (PSF) Algorithm
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-05-1111 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-05-1011 OK · 1 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
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Code & Tests
- Cyclomatic complexity
- 4.0 median / 8 max
Test coverage
Line coverage
–
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Tests / Examples
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Functions
7 1 exported
Complexity
4.4 avg / 8 max
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7 nodes / 5 edges
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6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.5Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.42017-04-23 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.32016-08-19 · diff ↗
- 0.2.12016-06-18 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 0.1.12016-04-17 · diff ↗
Show 2 earlier events
- 0.12016-03-25
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2016-03-25
- Total releases
- 6 / 10 yrs
- License
- GPL (>= 2) OSI
- Download size
- 93 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet