predict_cow: Predict a cow

In alex-conanec/OptFilBov: Compromise dealing

Description

Predict the cow performances with the whole models

Usage

predict_cow(cow_simulated, models, list_index, list_value, R = 10, B = 5)

Arguments

cow_simulated	a matrix or data.frame 1 by p attributes with the colnames matching with the models
models	list of all the models describing the cow attributes
list_index	vector containing the position in the data.frame of the fixed value
list_value	vector containing the value at the list_index position
R	integer to converge toward a stable result (10 by default)
B	integer for the number of bootstrap which switch the order of prediction (5 by default)

Value

a predicted cow througth a object cow

See Also

plot.cow

Examples

library(mfe)
load(models.RData) #need models fitted
data(indicateurs)
cow0 <- setNames(data.frame(matrix(0, ncol = ncol(indicateurs), nrow = 1)), colnames(indicateurs))
pred_cow <- predict_cow(cow_simulated = cow0, models = models, list_index = 1:3, list_value = c(0, 1, -0.5), B=5, R=10)
plot(pred_cow)

alex-conanec/OptFilBov documentation built on May 21, 2019, 9:46 a.m.