gpboost (version 0.7.9)

predict_training_data_random_effects: Generic 'predict_training_data_random_effects' method for a GPModel

Description

Generic 'predict_training_data_random_effects' method for a GPModel

Usage

predict_training_data_random_effects(gp_model)

Value

A GPModel

Arguments

gp_model

A GPModel

Author

Fabio Sigrist

Examples

# \donttest{
data(GPBoost_data, package = "gpboost")
# Add intercept column
X1 <- cbind(rep(1,dim(X)[1]),X)
X_test1 <- cbind(rep(1,dim(X_test)[1]),X_test)

gp_model <- fitGPModel(group_data = group_data[,1], y = y, X = X1, likelihood="gaussian")
all_training_data_random_effects <- predict_training_data_random_effects(gp_model)
first_occurences <- match(unique(group_data[,1]), group_data[,1])
unique_training_data_random_effects <- all_training_data_random_effects[first_occurences]
head(unique_training_data_random_effects)
# }