gpboost (version 0.7.9)

summary.GPModel: Summary for a GPModel

Description

Summary for a GPModel

Usage

# S3 method for GPModel
summary(object, ...)

Value

Summary of a (fitted) GPModel

Arguments

object

a GPModel

...

(not used, ignore this, simply here that there is no CRAN warning)

Author

Fabio Sigrist

Examples

# See https://github.com/fabsig/GPBoost/tree/master/R-package for more examples

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)

#--------------------Grouped random effects model: single-level random effect----------------
gp_model <- fitGPModel(group_data = group_data[,1], y = y, X = X1,
                       likelihood="gaussian", params = list(std_dev = TRUE))
summary(gp_model)


# \donttest{
#--------------------Gaussian process model----------------
gp_model <- fitGPModel(gp_coords = coords, cov_function = "exponential",
                       likelihood="gaussian", y = y, X = X1, params = list(std_dev = TRUE))
summary(gp_model)
# }