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EMOTIONS: Ensemble Models fOr lacTatION curveS

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Version

Install

install.packages('EMOTIONS')

Monthly Downloads

177

Version

1.1

License

GPL-3

Maintainer

Pablo Fonseca

Last Published

January 28th, 2026

Functions in EMOTIONS (1.1)

Performs the model fitting and the weight assignment based on different strategies for each individual ID

milkloss_detect

Identify milk loss events and resilience indicators from daily milk yields

Define the parameters for the lactation curve models to be fitted

A data frame containing the models included in the EMOTIONS package that can have the parameters edited

A wrap function to the ModelsLac function that allows the fit of lactation curve models based on daily production and days in milk records simultaneously for a list of animals

Create a line plot that shows the range of the ranks obtained for each model across the individuals

Plot the actual daily milk daily production and the predicted values obtained by the ensemble model

Plot the actual daily milk daily production and the predicted values highlighting the detected milk loss events

GetLacModelsMetrics

Estimate the Akaike information criterion (AIC), Bayeasian information criterion (BIC), root mean square percentage error (RMSPE) and mean squared error (MAE) for the fitted models

BMAweight_gamma

Estimate normalized model`s weights based on a Expectation–Maximization (EM) algorithm using a gamma distribution

CosSquaredWeight

Estimate normalized model`s weights based on the cosine similarity for each model's predictions

A data frame containing the daily milk yield for 100 individuals up to 210 days in milk

Impute missing daily milk yields using the ensemble created

A function to estimate resilience estimators (logarithm of variance, lag1 autocorrelation and skewness) based on daily milk production records

The function RidgeModels allows the visualization of the distribution of model's ranks across individuals using ridge density plots

Estimate normalized model`s weights based on the variance of the predictions

models_EMOTIONS

A data frame containing the daily milk yield for 100 individuals up to 210 days in milk