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
