# Kalman Filter for Impulse Noised Outliers

## Documentation for package ‘kfino’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

kfino-package | kfino: Kalman Filtering
doutlier | doutlier defines an outlier distribution (Surface of a trapezium) and uses input parameters given in the main function kfino_fit()
kfino | kfino: Kalman Filtering
kfino_fit | kfino_fit a function to detect outlier with a Kalman Filtering approach
kfino_plot | kfino_plot a graphical function for the result of a kfino run
lambs | a dataset containing the WoW weighing for 4 animals of 1296 observations, https://doi.org/10.1016/j.compag.2018.08.022
merinos1 | a dataset containing the WoW weighing for one animal (merinos lamb) of 397 observations. https://doi.org/10.1016/j.compag.2018.08.022
merinos2 | a dataset containing the WoW weighing for one animal (merinos lamb) of 345 observations, difficult to model. https://doi.org/10.1016/j.compag.2018.08.022
spring1 | a dataset containing the WoW weighing for one animal of 203 observations. https://doi.org/10.1016/j.compag.2018.08.022
utils_EM | utils_EM a function to estimate the parameters 'm_0' , 'mm', 'pp' through an Expectation-Maximization (EM) method
utils_fit | utils_fit a fonction running the kfino algorithm to filter data and detect outliers under the knowledge of all parameters