combine_folds_mean_diff: Combine fold-level test statistics from cross-validation
In HMC: High-Dimensional Mean Comparison with Projection and Cross-Fitting
View source: R/41_refined_anchored_lasso.R
combine_folds_mean_diff R Documentation
Combine fold-level test statistics from cross-validation
Description
Aggregates fold-level test statistics and variances to compute an overall test statistic and p-value.
Usage
combine_folds_mean_diff(fold_data, verbose = FALSE)
Arguments
fold_data
A list of results from process_fold_mean_diff(), one for each fold.
verbose
Logical. Whether to print diagnostic messages. Default is FALSE.
Value
A list containing:
- p_value
Two-sided p-value for the overall test statistic.
- test_statistic
Standardized test statistic.
- fold_data
Original input list, for reference or diagnostics.
HMC documentation built on June 8, 2025, 10:32 a.m.
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View source: R/41_refined_anchored_lasso.R
| combine_folds_mean_diff | R Documentation |
Combine fold-level test statistics from cross-validation
Description
Aggregates fold-level test statistics and variances to compute an overall test statistic and p-value.
Usage
combine_folds_mean_diff(fold_data, verbose = FALSE)
Arguments
fold_data |
A list of results from |
verbose |
Logical. Whether to print diagnostic messages. Default is FALSE. |
Value
A list containing:
- p_value
Two-sided p-value for the overall test statistic.
- test_statistic
Standardized test statistic.
- fold_data
Original input list, for reference or diagnostics.
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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