kfold.ermod {BayesERtools} | R Documentation |
Run k-fold cross-validation
Description
This function performs k-fold cross-validation using the appropriate model
development function based on the class of the ermod
object.
It is internally used by eval_ermod()
. The output is compatible with
loo
ecosystem, e.g. it can be used for loo::loo_compare()
function.
See loo::kfold()
for details.
Usage
## S3 method for class 'ermod'
kfold(x, k = 5, newdata = NULL, seed = NULL, ...)
kfold(x, ...)
extract_kfold_loo(kfold_ermod)
Arguments
x |
An |
k |
The number of folds for cross-validation. Default is 5. |
newdata |
Optional new dataset to use instead of the original data. Default is NULL. |
seed |
Random seed for reproducibility. Default is NULL. |
... |
Currently not used. |
kfold_ermod |
An object of class |
Value
kfold()
returns kfold_ermod
class object containing the fitted
models and holdout predictions for each fold.
extract_kfold_loo()
returns c("kfold", "loo")
class object
that works well with loo
ecosystem
Examples
data(d_sim_binom_cov_hgly2)
ermod_bin <- dev_ermod_bin(
data = d_sim_binom_cov_hgly2,
var_resp = "AEFLAG",
var_exposure = "AUCss_1000",
var_cov = "BHBA1C_5",
# Settings to make the example run faster
chains = 2,
iter = 1000
)
cv_results <- kfold(ermod_bin, k = 3, seed = 123)
print(cv_results)