Man pages for rjaneUCF/MultiHazard
Tools for modeling compound events
| Annual_Max | Generate annual maximum series |
| bootstrap_block | Implements a block bootstrap |
| bootstrap_month | Implements a monthly bootstrap |
| Conditional_RP_2D | Calculates joint and conditional return periods |
| Conditional_RP_2D_Equal | Calculates joint and conditional return periods |
| Con_Sampling_2D | Conditionally sampling a two-dimensional dataset |
| Con_Sampling_2D_Lag | Conditionally sampling a two dimensional dataset |
| Cooley19 | Derives bivariate isolines using the non-parametric approach... |
| Copula_Threshold_2D | Copula Selection With threshold 2D - Fit |
| Copula_Threshold_2D_Lag | Copula Selection With threshold 2D - Fit |
| Dataframe_Combine | Creates a data frame containing up to five time series |
| Decluster | Declusters a time series |
| Decluster_S_SW | Declusters a Summed time series using a moving (Storm) Window... |
| Decluster_SW | Declusters a time series using a storm window approach |
| Design_Event_2D | Derives a single or ensemble of bivariate design events |
| Design_Event_2D_Grid | Derives a single or ensemble of bivariate design events |
| Design_Event_2D_Multi_Pop | Derives a single or ensemble of bivariate design events |
| Detrend | Detrends a time series. |
| Diag_Non_Con | Goodness of fit of non-extreme marginal distributions |
| Diag_Non_Con_Sel | Demonstrate the goodness of fit of the selected non-extreme... |
| Diag_Non_Con_Trunc | Goodness of fit of non-extreme marginal distributions |
| Diag_Non_Con_Trunc_Sel | Godness of fit of the selected non-extreme marginal... |
| GPD_Fit | Fits a single generalized Pareto distribution - Fit |
| GPD_Parameter_Stability_Plot | GPD parameter stability plots |
| GPD_Threshold_Solari | Solari et al (2017) automatic GPD threshold selection |
| GPD_Threshold_Solari_Sel | Goodness-of-fit for the GPD |
| HT04 | Fits and simulates from the conditional multivariate approach... |
| HT04_Lag | Implements the version of the conditional multivariate... |
| HURDAT | HURDAT |
| Imputation | Imputing missing values through linear regression |
| Intensity | Intensity |
| inverse_pit_gpd | Inverse PIT GPD |
| Joint_RP_2D | Calculates joint return periods |
| Kendall_Lag | Kendall's tau correlation coefficient between pairs of... |
| Mean_Excess_Plot | Mean excess plot - GPD threshold selection |
| Migpd_Fit | Fits Multiple independent generalized Pareto models - Fit |
| NOAA_SLR | NOAA sea-level rise scenarios |
| OsWL_Intensity | Ocean-side Water Level Intensity |
| return_curve_diag | Evaluates the goodness of fit of the return curve estimates |
| return_curve_est | Derives return curves that capture uncertainty |
| SLR_Scenarios | Sea level rise scenarios |
| Standard_Copula_Fit | Fit an Archimedean/elliptic copula model - Fit |
| Standard_Copula_Sel | Selecting best fitting standard (elliptical and Archimedean)... |
| Standard_Copula_Sim | Archimedean/elliptic copula model - Simulation |
| Surge_Criterion | Surge identification criterion |
| Time_Series_Plot | Rainfall and O-sWL time series plots |
| U_Sample | Implements (unconditional) bootstrap procedure in Serinaldi... |
| Vine_Copula_Fit | C and D-vine Copula - Fitting |
| Vine_Copula_Sim | C and D-vine Copula - Simulation |
| WL_Curve | Derive water level curves |
