CAN_05BB001             CAN-05BB001
CAN_07BE001             CAN-07BE001
CAN_08MH016             CAN-08MH016
CAN_08NH021             CAN-08NH021
CAN_08NM050             CAN-08NM050
data_decomposition      Decompose Annual Maximum Series
data_geomet             Fetch Data from MSC GeoMet API
data_local              Fetch Local Package Data
data_mw_variability     Estimate Variance for Annual Maximum Series
                        Data
data_screening          Perform Data Screening
eda_bbmk_test           Block-Bootstrap Mann-Kendall Test for Trend
                        Detection
eda_kpss_test           Kwiatkowski–Phillips–Schmidt–Shin (KPSS) Unit
                        Root Test
eda_mk_test             Mann–Kendall Trend Test
eda_mks_test            Mann–Kendall–Sneyers Test for Change Point
                        Detection
eda_pettitt_test        Pettitt Test for Abrupt Changes in the Mean of
                        a Time Series
eda_pp_test             Phillips–Perron Unit Root Test
eda_runs_test           Wald–Wolfowitz Runs Test for Randomness
eda_sens_trend          Sen's Trend Estimator
eda_spearman_test       Spearman Test for Autocorrelation
eda_white_test          White Test for Heteroskedasticity
ffaframework-package    Flood Frequency Analysis Framework
fit_gmle                Generalized Maximum Likelihood Parameter
                        Estimation
fit_lmoments            L-Moments Parameter Estimation
fit_lmoments_kappa      L-Moments Parameter Estimation for the Kappa
                        Distribution
fit_mle                 Maximum Likelihood Parameter Estimation
framework_eda           Orchestrate Exploratory Data Analysis
framework_ffa           Orchestrate Flood Frequency Analysis
framework_full          Orchestrate the Full FFA Framework
model_assessment        Model Assessment
plot_ams_data           Plot Annual Maximum Series Data
plot_bbmk_test          Plot Block‐Bootstrap Mann–Kendall Test Results
plot_lmom_diagram       Plot L-Moment Ratio Diagram
plot_mks_test           Plot Mann–Kendall–Sneyers (MKS) Test Results
plot_nsffa_assessment   Plot Model Assessment for NS-FFA
plot_nsffa_estimates    Plot Estimated Return Levels for NS-FFA
plot_nsffa_fit          Plot Fitted Probability Distributions for
                        NS-FFA
plot_pettitt_test       Plot Results from the Pettitt Change‐Point Test
plot_runs_test          Plot Runs Test Results
plot_sffa_assessment    Plot Model Assessment for S-FFA
plot_sffa_estimates     Plot Estimated Return Levels for S-FFA
plot_sffa_fit           Plot Fitted Probability Distribution for S-FFA
plot_spearman_test      Plot Spearman’s Rho Autocorrelation
select_ldistance        L-Distance Method for Distribution Selection
select_lkurtosis        L-Kurtosis Method for Distribution Selection
select_zstatistic       Z-Statistic Method for Distribution Selection
uncertainty_bootstrap   Parametric Bootstrap Uncertainty Quantification
uncertainty_rfgpl       Regula-Falsi Generalized Profile Likelihood
                        Uncertainty Quantification
uncertainty_rfpl        Regula-Falsi Profile Likelihood Uncertainty
                        Quantification
utils_cdf               Cumulative Distribution Functions for
                        Probability Models
utils_generalized_likelihood
                        Generalized Log-Likelihood Functions for GEV
                        Models
utils_log_likelihood    Log-Likelihood Functions for Probability Models
utils_quantiles         Quantile Functions for Probability Models
utils_sample_lmoments   Sample L-moments
utils_theoretical_lmoments
                        Theoretical L-moments of Probability
                        Distributions
