Package index

Data variability and exploration

cross_validate_cube()

Leave-one-out cross-validation for data cubes

Indicator uncertainty and interpretation

add_effect_classification()

Add effect classifications to a dataframe by comparing the confidence intervals with a reference and thresholds

bootstrap_cube()

Perform bootstrapping over a data cube for a calculated statistic

calculate_acceleration()

Calculate acceleration for a statistic in a dataframe

calculate_bootstrap_ci()

Calculate confidence intervals from bootstrap results

Bootstrap interval helper functions

basic_ci()

Calculate basic bootstrap confidence interval

bca_ci()

Calculate Bias-Corrected and Accelerated (BCa) bootstrap confidence interval

norm_ci()

Calculate normal bootstrap confidence interval

perc_ci()

Calculate percentile bootstrap confidence interval

Bootstrap helper functions

boot_list_to_dataframe()

Convert a list of boot objects to a tidy dataframe

bootstrap_cube_raw()

Perform bootstrapping over a dataframe for a calculated statistic

calculate_boot_ci_from_boot()

Calculate confidence intervals from a 'boot' object

derive_bootstrap_method()

Derive bootstrap method for a statistic

process_boot_input()

Normalize and dispatch bootstrap input

resolve_bootstrap_method()

Resolve bootstrap method including use of the boot package