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]
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 05 Apr. 2025.
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
03/0603/0703/0803/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/3003/3104/0104/0204/03Downloads for kfino0123456789101112TrendBars

Today's Hot Picks in Authors and Packages

TrendInTrend  
Odds Ratio Estimation and Power Calculation for the Trend in Trend Model
Estimation of causal odds ratio and power calculation given trends in exposure prevalenceand outcome ...
Download / Learn more Package Citations See dependency  
leapp  
Latent Effect Adjustment After Primary Projection
These functions take a gene expression value matrix, a primary covariate vector, an additional know ...
Download / Learn more Package Citations See dependency  
gllvm  
Generalized Linear Latent Variable Models
Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation i ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
whitestrap  
White Test and Bootstrapped White Test for Heteroskedasticity
Formal implementation of White test of heteroskedasticity and a bootstrapped version of it, develope ...
Download / Learn more Package Citations See dependency  
deepdive  
Deep Learning for General Purpose
Aims to provide simple intuitive functions to create quick prototypes of artificial neural network o ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

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