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kfino

1.0.0

Kalman Filter for Impulse Noised Outliers

0packages depend
2.1Kdownloads / year
43.4%test coverage
0/13checks pass

Overview

About
Maintained by Isabelle SanchezFirst published 2022-11-031 releasesCRAN page ↗

A method for detecting outliers with a Kalman filter on impulsed noised outliers and prediction on cleaned data. 'kfino' is a robust sequential algorithm allowing to filter data with a large number of outliers. This algorithm is based on simple latent linear Gaussian processes as in the Kalman Filter method and is devoted to detect impulse-noised outliers. These are data points that differ significantly from other observations. 'ML' (Maximization Likelihood) and 'EM' (Expectation-Maximization algorithm) algorithms were implemented in 'kfino'. The method is described in full details in the following arXiv e-Print: arXiv:2208.00961.

Install

Health

CRAN checks
13NOTE
Failing flavors
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Slowest check: 5.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.09
43.4%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 331 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.1K
CRAN downloads in the past year
Rank #19,068 · ~6/day · ~178/mo
Daily download trend is not available in this view yet.
19830 days
62790 days
2.1K1 year
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Also on90 r2u36 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (2)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Code Composition
R 1,644 (62%)Rd 612 (23%)Vignettes 417 (16%)
Code characteristics
Cyclomatic complexity
3.0 median / 57 max
Test cases
4 / 0.09 per code line

Test coverage

Line coverage

43%

Expression

44.5%

Tests / Examples

43.4% / 64% ex

Functions

6 6 exported

Complexity

13.2 avg / 57 max

Call network

6 nodes / 6 edges

Loading call graph…

Lowest coverage

6 functions
FunctionCycloCoverage
utils_EM exp30%
kfino_fit exp5729%
kfino_plot exp1281%
doutlier exp1100%
utils_fit exp3100%
utils_likelihood exp3100%

Datasets

Bundled datasets · 4
NameClassRows × ColsAlso ships in
lambsgrouped_df/tbl_df/tbl/data.frame1,296 × 5
merinos1grouped_df/tbl_df/tbl/data.frame397 × 5
merinos2grouped_df/tbl_df/tbl/data.frame345 × 5
spring1grouped_df/tbl_df/tbl/data.frame203 × 5

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Other (1)
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2022-11-03
Total releases
1 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 4.1.0
Bundled data
25 KB / 4 files
Download size
1.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views
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