Other packages > Find by keyword >

kfino  

Kalman Filter for Impulse Noised Outliers
View on CRAN: Click here


Download and install kfino package within the R console
Install from CRAN:
install.packages("kfino")

Install from Github:
library("remotes")
install_github("cran/kfino")

Install by package version:
library("remotes")
install_version("kfino", "1.0.0")



Attach the package and use:
library("kfino")
Maintained by
Isabelle Sanchez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-03
Latest Update: 2022-11-03
Description:
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: .
How to cite:
Isabelle Sanchez (2022). kfino: Kalman Filter for Impulse Noised Outliers. R package version 1.0.0, https://cran.r-project.org/web/packages/kfino. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited kfino R package
View kfino citation profile
Other R packages that kfino depends, imports, suggests or enhances
Complete documentation for kfino
Functions, R codes and Examples using the kfino R package
Some associated functions: doutlier . kfino . kfino_fit . kfino_plot . lambs . merinos1 . merinos2 . spring1 . utils_EM . utils_fit . utils_likelihood . 
Some associated R codes: data.R . graph_functions.R . kfino-package.R . kfino.R . utils_functions.R .  Full kfino package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA