kfino
Kalman Filter for Impulse Noised Outliers
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | kfino_1.0.0.tar.gz |
1.1 MiB |
1.0.0 |
rolling linux/noble R-4.5 | kfino_1.0.0.tar.gz |
1.1 MiB |
1.0.0 |
rolling source/ R- | kfino_1.0.0.tar.gz |
1.1 MiB |
1.0.0 |
latest linux/jammy R-4.5 | kfino_1.0.0.tar.gz |
1.1 MiB |
1.0.0 |
latest linux/noble R-4.5 | kfino_1.0.0.tar.gz |
1.1 MiB |
1.0.0 |
latest source/ R- | kfino_1.0.0.tar.gz |
1.1 MiB |
1.0.0 |
2026-04-26 source/ R- | kfino_1.0.0.tar.gz |
1.1 MiB |
1.0.0 |
2026-04-23 source/ R- | kfino_1.0.0.tar.gz |
1.1 MiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | kfino_1.0.0.zip |
1.1 MiB |
1.0.0 |
2025-04-20 source/ R- | kfino_1.0.0.tar.gz |
1.1 MiB |