LacCurveFit: 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

Description

The function uses a data frame containing the daily milking records as input

Usage

LacCurveFit(
  data,
  ID,
  trait,
  dim,
  alpha = 0.5,
  models = "All",
  param_list = NULL,
  silent = T
)

Value

A list containing the fitted models, the model`s weigths and ranks for each weighting strategy, and the predicted daily production obtained through the model ensemble for each weighting strategy

Arguments

data: A data frame containing the daily milking records
ID: The name of the column containing the unique IDs of the individuals
trait: The name of the column containing daily milking records
dim: The name of the column containing days in milk records
alpha: A penalization factor, ranging from 0 to 1, for the estimation of the model`s weight
models: A vector describing the models to be included in the analysis. In total, 47 models are included in EMOTIONS. The default option is "All", which results in the inclusion of the 47 models. Alternatively, a vector containing any subset of the following models can be provided: "MMR","MME","brody23","brody24", "SCH","SCHL","PBE","wood","DHA", "CB","QP","CLD","PapBo1","PapBo2", "PapBo3", "PapBo4", "PapBo6", "GS1", "GS2","LQ", "wil", "wilk", "wilycsml", "BC", "DJK","MG2", "MG4", "MG", "KHN", "AS", "FRP","PTmult","PTmod", "MonoG", "MonoGpw", "DiG", "DiGpw","legpol3", "legpol4", "legpolWil", "cubsplin3", "cubsplin4", "cubsplin5", "cubsplindef", "wilminkPop", "qntReg".
param_list: A list composed by the models, named as in the models parameter, and the repective parameters included in the models.
silent: A logical string defining if warning should be printed or not during the model fitting. The default value is TRUE (not printing warnings).