model_pars

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

datasets

internal

Lactation curve modeling plays a central role in dairy production, supporting management decisions and the selection of animals with superior productivity and resilience. The package 'EMOTIONS' fits 47 models for lactation curves and creates ensemble models using model averaging based on Akaike information criterion, Bayesian information criterion, root mean square percentage error, and mean squared error, variance of the predictions, cosine similarity for each model's predictions, and Bayesian Model Average. The daily production values predicted through the ensemble models can be used to estimate resilience indicators in the package. Additionally, the package allows the graphical visualization of the model ranks and the predicted lactation curves.

Pablo Fonseca

EMOTIONS

'EMOTIONS: Ensemble Models for Lactation Curves'

model_pars function

A data frame with 42 rows and 2 variables:<ul>
<li>Model_acronym: The acronym of the models that can have the parameters edited</li>
<li>Parameters: The list of parameters included in each model</li>
</ul>

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

Description

Usage

Arguments

Format

Examples