gpboost (version 0.6.1)

summary.GPModel: Summary for a GPModel

Description

Summary for a GPModel

Usage

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

Arguments

object

a GPModel

...

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

Value

Summary of a (fitted) GPModel

Examples

# NOT RUN {
# See https://github.com/fabsig/GPBoost/tree/master/R-package for more examples

library(gpboost)
data(GPBoost_data, package = "gpboost")

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

# }
# NOT RUN {
#--------------------Gaussian process model----------------
gp_model <- fitGPModel(gp_coords = coords, cov_function = "exponential",
                       likelihood="gaussian", y = y, params = list(std_dev = TRUE))
summary(gp_model)
# }
# NOT RUN {
# }