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PSF

0.5

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

1packages depend
4.3Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Neeraj BokdeFirst published 2016-03-256 releasesCRAN page ↗GitHub ↗

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

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.4 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • NOTE2026-05-11
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-05-10
    11 OK · 1 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

4.3K
CRAN downloads in the past year
Rank #11,495 · ~12/day · ~355/mo
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27830 days
92890 days
4.3K1 year
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Repository

Repository
17Stars
7Forks
1Open issues
0Open PRs
0Releases
122Commits
1Contributors
License GPL-3.0 · 122 commits · Last activity 2016-12-15

Stars over time

2025-01-22 · 172026-07-07 · 17

Repository practices

Upstream repositoryBeta

Checks run against github.com/neerajdhanraj/psf on 2026-07-19.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (2)
data.tablecluster
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Code Composition
R 282 (53%)Vignettes 157 (29%)Rd 95 (18%)
Code characteristics
Object systems
S32
Cyclomatic complexity
4.0 median / 8 max

Test coverage

Line coverage

Expression

Tests / Examples

Functions

7 1 exported

Complexity

4.4 avg / 8 max

Call network

7 nodes / 5 edges

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Lowest coverage

Per-function coverage is not measured for this package yet.

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (3)
no longer listed · 0.1 to 0.5
no longer listed · 0.3 to 0.5
no longer listed · 0.3 to 0.5
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.5Latest
    2022-05-01 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.4
    2017-04-23 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.3
    2016-08-19 · diff ↗
  • 0.2.1
    2016-06-18 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 0.1.1
    2016-04-17 · diff ↗
Show 2 earlier events
  • 0.1
    2016-03-25
  • R
    R 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
Appears in task views
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