compute_dataset_mnar    Compute dataset-level MNAR metric
compute_missingness     Compute missingness statistics for a vector of
                        values
fit_distributions       Fit distributions to peptide abundance data
get_distribution_preset
                        Get distributions for a preset
is_count_data           Check if data appears to be count data
                        (non-negative integers)
new_peppwr_fits         Create a new peppwr_fits object
new_peppwr_power        Create a new peppwr_power object
plot.peppwr_fits        Plot method for peppwr_fits
plot.peppwr_power       Plot method for peppwr_power
plot_density_overlay    Plot density overlay: observed histogram with
                        fitted density curve
plot_missingness        Plot missingness statistics
plot_param_distribution
                        Plot distribution of fitted parameters across
                        peptidome
plot_power_heatmap      Plot power heatmap: N x effect size grid
plot_power_vs_effect    Plot power vs effect size at fixed N
plot_qq                 Plot QQ plots for goodness-of-fit
power_analysis          Power analysis for peptide abundance data
power_analysis.character
                        Power analysis with specified distribution
                        (aggregate mode)
power_analysis.peppwr_fits
                        Power analysis for per-peptide mode using
                        fitted distributions
print.peppwr_fits       Print method for peppwr_fits
print.peppwr_power      Print method for peppwr_power
print.summary.peppwr_fits
                        Print method for summary.peppwr_fits
print.summary.peppwr_power
                        Print method for summary.peppwr_power
run_power_sim           Run power simulation
run_power_sim_empirical
                        Run power simulation using empirical bootstrap
run_power_sim_fdr       Run FDR-aware power simulation for whole
                        peptidome
run_power_sim_with_missingness
                        Run power simulation with missingness
simulate_empirical      Simulate experiment using empirical bootstrap
simulate_experiment     Simulate an experiment with control and
                        treatment groups
simulate_with_missingness
                        Simulate experiment with realistic missingness
summary.peppwr_fits     Summary method for peppwr_fits
summary.peppwr_power    Summary method for peppwr_power
test_bayes_t            Bayes factor t-test
test_bootstrap_t        Bootstrap-t test
test_rankprod           Rank Products test
test_wilcoxon           Wilcoxon rank-sum test
validate_peppwr_fits    Validate a peppwr_fits object
validate_peppwr_power   Validate a peppwr_power object
