get_cov_pars.GPModel: Get (estimated) covariance parameters
In gpboost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
get_cov_pars.GPModel R Documentation
Get (estimated) covariance parameters
Description
Get (estimated) covariance parameters and standard deviations (if std_dev=TRUE was set in fit)
Usage
## S3 method for class 'GPModel'
get_cov_pars(gp_model)
Arguments
gp_model
A GPModel
Value
A GPModel
Author(s)
Fabio Sigrist
Examples
data(GPBoost_data, package = "gpboost")
X1 <- cbind(rep(1,dim(X)[1]),X) # Add intercept column
gp_model <- fitGPModel(group_data = group_data[,1], y = y, X = X1, likelihood="gaussian")
get_cov_pars(gp_model)
gpboost documentation built on Sept. 11, 2024, 7:04 p.m.
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| get_cov_pars.GPModel | R Documentation |
Get (estimated) covariance parameters
Description
Get (estimated) covariance parameters and standard deviations (if std_dev=TRUE was set in fit)
Usage
## S3 method for class 'GPModel'
get_cov_pars(gp_model)
Arguments
gp_model |
A |
Value
A GPModel
Author(s)
Fabio Sigrist
Examples
data(GPBoost_data, package = "gpboost")
X1 <- cbind(rep(1,dim(X)[1]),X) # Add intercept column
gp_model <- fitGPModel(group_data = group_data[,1], y = y, X = X1, likelihood="gaussian")
get_cov_pars(gp_model)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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