Man pages for messamat/globalIRmap
What the Package Does (One Line, Title Case)
| analyze_benchmark | Analyze benchmark |
| analyzemerge_gaugeir | Quality assurance/quality checking of streamflow time series |
| bind_gaugepreds | Bind gauge predictions |
| bin_dt | Bin data.table |
| bin_misclass | Bin misclassification metrics |
| bm_msrtab | Benchmark result performance measures table |
| bm_paramstime | Benchmark result parameters and time |
| change_oversamp | Change oversampling ratio |
| change_tasktarget | Change task back end |
| checkGRDCzeroes | Check zero-flow values in GRDC discharge record |
| combine_bm | Combine benchmarking results |
| compare_au | Compare model estimates for Australia |
| compare_fr | Compare model estimates for France |
| compare_us | Compare model estimates for the U.S. |
| comp_derivedvar | Compute derived variables |
| comp_GRDCdurfreq | Compute intermittency statistics for GRDC gauging stations |
| comp_GRDCqstats | Compute GRDC discharge statistics. |
| comp_GSIMdurfreq | Compute intermittency statistics for GSIM gauging stations |
| comp_irstats | Compute flow intermittence statistics |
| compute_confustats | Compute confusion statistics |
| compute_IRpop | Compute population living nearest to an intermittent river |
| comp_ymean | Compute annual mean |
| convert_clastoregrtask | Convert classification task to regression task |
| create_baselearners | Create learners |
| create_tasks | Create tasks |
| def_filestructure | Define file structure (deprecated) |
| diny | Number of days in the year |
| durfreq_parallel | Parallel wrapper for 'comp_durfreq' |
| dynamic_resample | Dynamic resampling |
| dynamic_resamplebm | Dynamic resampling using learners from benchmarking results |
| eval_watergap | Compute modeled discharge statistics for GRDC gauging... |
| extend_globalsummary_clz | Extend global summary |
| extract_impperf_nestedrf | Extract variable importance and performance from a trained RF... |
| extract_pd_nestedrf | Extract partial dependence (and performance) from a trained... |
| extrapolate_IRES | Extrapolate prevalence of flow intermittence |
| extrapolate_networklength | Extrapolate river network length |
| flagGRDCoutliers | Flag GRDC outliers |
| format_gaugestats | Format gauge statistics |
| formathistab | Format histogram table |
| format_modelcompdat | Format model computational metadata |
| formatscales | Format plot scales |
| fread_cols | fread columns |
| get_basemapswintri | Get and project basemaps |
| get_outerrsmp | Get outer ResampleResult |
| get_oversamp_ratio | Get oversample ratio |
| get_USdata | Compute intermittency statistics for US gauging stations |
| ggalluvium_gaugecount | Alluvium plot of gauge count over time |
| ggcompare | Comparison ggplot histogram |
| ggenvhist | Plot of environmental histogram |
| gggaugeIPR | Plots of Intermittence Prediction Residuals (IPR) |
| gggauges | Map river gauging stations |
| ggmisclass_single | Single ggplot of misclassification |
| ggpartialdep | Plot of partial dependence |
| ggrivers | Plot river gauging stations basemaps |
| ggvimp | Plot of variable importance |
| label_manualbins | Label manual bins |
| layout_ggenvhist | Layout plots of environmental histograms |
| make_gaugepreds | Make gauge predictions |
| map_basinBACC | Map prediction performance at the basin level |
| netpredformat | Format network predictions |
| plot_coastalir | Plot coastal intermittent rivers |
| plot_GRDCflags | Plot all GRDC time series with data quality flags |
| plotGRDCtimeseries | Plot a GRDC time series |
| plot_GSIM | Plot all GSIM time series with data quality flags |
| plotGSIMtimeseries | Plot a GSIM time series |
| plot_winterir | Plot winter-only intermittent rivers |
| qc_onde | Quality check model estimates in France |
| qc_pnw | Quality check model estimates in U.S. Pacific Northwest |
| readformatGRDC | Read and pre-format GRDC data |
| readformatGSIMmon | Read and pre-format GSIM monthly data |
| readformatGSIMsea | Read and pre-format GSIM seasonal data |
| read_gaugep | Read gauge points |
| read_GRDCgauged_paths | Read file paths to streamflow data from GRDC gauging stations |
| read_GSIMgauged_paths | Read file paths to streamflow data from GSIM gauging stations |
| read_monthlydis | Read network monthly discharge |
| reset_tuning | Reset AutoTuner |
| rformat_network | Format river network |
| rsmp_auc | Resample AUC |
| rsmp_bacc | Resample BACC |
| rsmp_bbrier | Resample binary brier score |
| rsmp_pre | Resample precision |
| rsmp_sen | Resample sensitivity |
| rsmp_spe | Resample specificity |
| scientific_10 | Format number to nearest log10 bin in scientific format |
| select_features | Select features |
| selectformat_predvars | Select + format predictor variables |
| selecttrain_rf | Select and train final random forest |
| set_cvresampling | Set cross-validation resampling |
| set_tuning | Set tuning strategy |
| sfformat_wintri | Format to sf and project to Winkel Tripel |
| tabulate_benchmarks | Tabulate benchmarks |
| tabulate_globalsummary | Tabulate global summary |
| test_joincount | Join count test |
| test_thresholdsensitivity | Test threshold sensitivity |
| threshold_dat | Threshold data (deprecated) |
| threshold_misclass | Threshold misclassification |
| weighted_sd | Weighted standard deviation |
| weighted_vimportance_nestedrf | Weighted mean of variable importance for resampled RF learner |
| write_gaugepreds | Write gauge predictions |
| write_netpreds | Write river network predictions |
| zero_lomf | Last [non-zero] Observation Moved Forward (lomf) |
