cvms
Cross-Validation for Model Selection

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API for cvms
Cross-Validation for Model Selection

Global functions
`%c%` Source code
`%ni%` Source code
aapply Source code
accuracy Source code
add_3d_overlay_geom Source code
add_3d_path Source code
add_additional_colnames Source code
add_geom_text Source code
add_id_aggregates Source code
add_metric_if_not_specified Source code
add_repetition_col_to_nested_tibbles Source code
all_or_nothing_evaluations Source code
append_to_message Source code
arg_is_number_ Source code
arg_is_wholenumber_ Source code
arg_not_used Source code
as.character.process_info_binomial Man page Source code
as.character.process_info_gaussian Man page Source code
as.character.process_info_multinomial Man page Source code
assign_if_not_null_named_lists Source code
balanced_accuracy Source code
base_deselect Source code
base_rename Source code
base_select Source code
baseline Man page Source code
baseline_binomial Man page Source code
baseline_gaussian Man page Source code
baseline_multinomial Man page Source code
basics_hparams Source code
basics_model_fn Source code
basics_pick_preprocess_fn Source code
basics_predict_fn Source code
basics_update_metrics Source code
binomial_classification_NA_results_tibble Source code
binomial_classification_results_tibble Source code
binomial_eval_collect Source code
binomial_eval_confusion_matrices Source code
binomial_eval_roc_curves Source code
binomial_metrics Man page Source code
calculate_AIC Source code
calculate_AICc Source code
calculate_BIC Source code
calculate_model_metrics Source code
calculate_normalized Source code
calculate_r2c Source code
calculate_r2m Source code
call_confusion_matrix Source code
call_cross_validate Source code
call_evaluate_residuals Source code
call_plot_probabilities_ Source code
call_plot_probabilities_ecdf_ Source code
call_validate Source code
caption_probability_plot_ Source code
capture_fn Source code
categorical_description_as_character Source code
check_argument_in_model_specifics Source code
check_constant_targets_within_ids Source code
check_fixed_effects Source code
check_fold_col_factor Source code
check_gg_image_packages Source code
check_label_counts Source code
check_metrics_list Source code
check_partitions_col_factor Source code
check_prediction_cols Source code
combine_predictors Man page Source code
combine_predictors_prepare_args Source code
compatible.formula.terms Man page
confusion_label_counts Source code
confusion_matrix Man page Source code
confusion_matrix_metric_fns Source code
confusion_matrix_to_table Source code
contains_NA_left_of_value Source code
contains_na Source code
count_convergence_warnings Source code
count_nulls_in_list Source code
counts_as_row Source code
create_binomial_baseline_evaluations Source code
create_binomial_confusion_matrix Source code
create_computation_grid Source code
create_confusion_matrix Source code
create_dynamic_font_setting Source code
create_fold_and_fold_column_map Source code
create_folds_grid Source code
create_folds_map Source code
create_gaussian_baseline_evaluations Source code
create_hparams_grid Source code
create_interchangeable_effects_combinations Source code
create_message Source code
create_multinomial_baseline_evaluations Source code
create_multinomial_confusion_matrix Source code
create_tmp_fold_cols Source code
create_tmp_name Source code
create_warnings_and_messages_tibble Source code
cross_validate Man page Source code
cross_validate_fn Man page Source code
cross_validate_list Source code
cvms Man page
cvms-package Man page
default_control Source code
default_link Source code
describe_categorical Source code
describe_numeric Source code
detection_prevalence Source code
detection_rate Source code
dynamic_font_color_settings Man page Source code
empty_tile_percentages Source code
evaluate Man page Source code
evaluate_model_object Source code
evaluate_predictions_binomial Source code
evaluate_predictions_gaussian Source code
evaluate_predictions_multinomial Source code
evaluate_residuals Man page Source code
exceeds_threshold Source code
extract_and_remove_probability_cols Source code
extract_hparams Source code
extract_id_classes Source code
extract_model_effects Source code
extract_positive_level Source code
extract_probabilities_of Source code
extract_special_fn_specific_hparams Source code
extract_y Source code
f1 Source code
f_score Source code
false_discovery_rate Source code
false_neg_rate Source code
false_omission_rate Source code
false_pos_rate Source code
fetch_formulas Source code
fit_confusion_matrix Source code
fit_model Source code
fit_predict_model_fn Source code
fit_roc_curve Source code
font Man page Source code
force_numeric Source code
gaussian_metrics Man page Source code
generate_formulas Man page
get_color_limits Source code
get_figure_path Source code
get_intensity_range Source code
get_min_n_fixed_effects Source code
get_nested_model_coefficients Source code
get_pkg_version Source code
get_terms_matrix Source code
get_vars_from_side Source code
get_vignette_data_path Source code
groupdata2_import_handler Source code
handle_beyond_intensity_limits Source code
hardest Man page
inform_about_positive_no_effect_on_probs Source code
inform_once Source code
internal_evaluate Source code
internal_evaluate_model Source code
internal_evaluate_predictions Source code
interpret_all_font_settings Source code
interpret_font_setting Source code
is_between_ Source code
is_checkmate_v2_1 Source code
is_dplyr_1 Source code
is_newer_R_version Source code
is_newer_lme4 Source code
is_parameters_v0_15_or_above Source code
is_tibble_v2 Source code
is_wholenumber_ Source code
kappa Source code
legacy_nest Source code
legacy_unnest Source code
levels_as_characters Source code
logsumexp Source code
make_arrow_paths Source code
mcc Source code
mean_residual_errors_by_fcol_fold Source code
message_if_model_verbose Source code
model_functions Man page Source code
model_metric_wrapper Source code
most_challenging Man page Source code
most_challenging_classification Source code
most_challenging_gaussian Source code
multiclass_mcc Source code
multiclass_probability_tibble Man page Source code
multinomial_metrics Man page Source code
musicians Man page
neg_pred_value Source code
nest_confusion_matrices Source code
nest_models Source code
nest_multiclass_confusion_matrices Source code
nest_predictions Source code
nest_results Source code
nest_rowwise Source code
nesting_predictions Source code
non_empty_names Source code
numeric_description_as_character Source code
one_hot_encode Source code
overall_accuracy Source code
palettes_are_equal Source code
participant.scores Man page
paste_columns Source code
paste_hparams Source code
plot_confusion_matrix Man page Source code
plot_metric_density Man page Source code
plot_probabilities Man page Source code
plot_probabilities_ecdf Man page Source code
pos_pred_value Source code
position_first Source code
position_last Source code
precomputed.formulas Man page
predict_functions Man page Source code
predicted.musicians Man page
prepare_id_level_evaluation Source code
prepare_multinomial_evaluation Source code
prepare_predictions Source code
prepare_train_test Source code
preprocess_functions Man page Source code
preprocess_numeric Source code
prevalence Source code
print.process_info_binomial Man page Source code
print.process_info_gaussian Man page Source code
print.process_info_multinomial Man page Source code
process_info_binomial Man page Source code
process_info_gaussian Man page Source code
process_info_multinomial Man page Source code
rand_effects Source code
rcmd_import_handler Source code
reconstruct_formulas Man page Source code
remove_from_colnames Source code
render_toc Man page Source code
repeat_data_frame_if Source code
repeat_list_if Source code
replace_argument_in_model_specifics_if_null Source code
reposition_column Source code
residual_metrics Source code
rows_sum_to Source code
run_evaluate Source code
run_if_in Source code
run_internal_evaluate_wrapper Source code
run_model_fitting Source code
run_predict_fn Source code
run_prediction_process Source code
run_preprocess_once Source code
run_quietly Source code
run_user_predict_fn Source code
select_definitions Man page Source code
select_metrics Man page Source code
sensitivity Source code
set_all Source code
set_all_or_nothing_metrics Source code
set_arrows Source code
set_info_cols Source code
set_intensity Source code
set_metrics Source code
shorten_string Source code
simplify_formula Man page Source code
skip_test_if_newer_R_version Source code
skip_test_if_old_R_version Source code
softmax Source code
softmax_row Source code
softmax_vector Source code
sort_palette Source code
sort_rowwise Source code
space_operators Source code
specificity Source code
stop_if_argument_is_not_function Source code
stop_if_argument_is_null Source code
stop_if_argument_not_null Source code
subset_data Source code
subtract_inf_count_from_na_count Source code
sum_tile_settings Man page Source code
summarize_measure Source code
summarize_metrics Man page Source code
threat_score Source code
throw_messages Source code
throw_warnings Source code
tidy_confusion_matrix Source code
tidyr_new_interface Source code
to_tibble Source code
total_label_count Source code
update_font_setting Source code
update_hyperparameters Man page Source code
update_model_specifics Source code
update_settings_object Source code
update_sum_tile_settings Source code
validate Man page Source code
validate_fn Man page Source code
validate_fold Source code
validate_list Source code
vals_to_cols Source code
wines Man page
cvms documentation built on Aug. 25, 2025, 1:10 a.m.

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