Man pages for NaiaraLopezRojo/globalIRmap
What the Package Does (One Line, Title Case)

analyze_benchmarkAnalyze benchmark
analyzemerge_gaugeirQuality assurance/quality checking of streamflow time series
bind_gaugepredsBind gauge predictions
bin_dtBin data.table
bin_misclassBin misclassification metrics
bm_msrtabBenchmark result performance measures table
bm_paramstimeBenchmark result parameters and time
change_oversampChange oversampling ratio
change_tasktargetChange task back end
checkGRDCzeroesCheck zero-flow values in GRDC discharge record
combine_bmCombine benchmarking results
compare_auCompare model estimates for Australia
compare_frCompare model estimates for France
compare_usCompare model estimates for the U.S.
comp_derivedvarCompute derived variables
comp_GRDCdurfreqCompute intermittency statistics for GRDC gauging stations
comp_GRDCqstatsCompute GRDC discharge statistics.
comp_GSIMdurfreqCompute intermittency statistics for GSIM gauging stations
comp_irstatsCompute flow intermittence statistics
compute_confustatsCompute confusion statistics
compute_IRpopCompute population living nearest to an intermittent river
comp_ymeanCompute annual mean
convert_clastoregrtaskConvert classification task to regression task
create_baselearnersCreate learners
create_tasksCreate tasks
def_filestructureDefine file structure (deprecated)
dinyNumber of days in the year
durfreq_parallelParallel wrapper for 'comp_durfreq'
dynamic_resampleDynamic resampling
dynamic_resamplebmDynamic resampling using learners from benchmarking results
eval_watergapCompute modeled discharge statistics for GRDC gauging...
extend_globalsummary_clzExtend global summary
extract_impperf_nestedrfExtract variable importance and performance from a trained RF...
extract_pd_nestedrfExtract partial dependence (and performance) from a trained...
extrapolate_IRESExtrapolate prevalence of flow intermittence
extrapolate_networklengthExtrapolate river network length
flagGRDCoutliersFlag GRDC outliers
format_gaugestatsFormat gauge statistics
formathistabFormat histogram table
format_modelcompdatFormat model computational metadata
formatscalesFormat plot scales
fread_colsfread columns
get_basemapswintriGet and project basemaps
get_outerrsmpGet outer ResampleResult
get_oversamp_ratioGet oversample ratio
get_USdataCompute intermittency statistics for US gauging stations
ggalluvium_gaugecountAlluvium plot of gauge count over time
ggcompareComparison ggplot histogram
ggenvhistPlot of environmental histogram
gggaugeIPRPlots of Intermittence Prediction Residuals (IPR)
gggaugesMap river gauging stations
ggmisclass_singleSingle ggplot of misclassification
ggpartialdepPlot of partial dependence
ggriversPlot river gauging stations basemaps
ggvimpPlot of variable importance
label_manualbinsLabel manual bins
layout_ggenvhistLayout plots of environmental histograms
make_gaugepredsMake gauge predictions
map_basinBACCMap prediction performance at the basin level
netpredformatFormat network predictions
plot_coastalirPlot coastal intermittent rivers
plot_GRDCflagsPlot all GRDC time series with data quality flags
plotGRDCtimeseriesPlot a GRDC time series
plot_GSIMPlot all GSIM time series with data quality flags
plotGSIMtimeseriesPlot a GSIM time series
plot_winterirPlot winter-only intermittent rivers
qc_ondeQuality check model estimates in France
qc_pnwQuality check model estimates in U.S. Pacific Northwest
readformatGRDCRead and pre-format GRDC data
readformatGSIMmonRead and pre-format GSIM monthly data
readformatGSIMseaRead and pre-format GSIM seasonal data
read_gaugepRead gauge points
read_GRDCgauged_pathsRead file paths to streamflow data from GRDC gauging stations
read_GSIMgauged_pathsRead file paths to streamflow data from GSIM gauging stations
read_monthlydisRead network monthly discharge
reset_tuningReset AutoTuner
rformat_networkFormat river network
rsmp_aucResample AUC
rsmp_baccResample BACC
rsmp_bbrierResample binary brier score
rsmp_preResample precision
rsmp_senResample sensitivity
rsmp_speResample specificity
scientific_10Format number to nearest log10 bin in scientific format
select_featuresSelect features
selectformat_predvarsSelect + format predictor variables
selecttrain_rfSelect and train final random forest
set_cvresamplingSet cross-validation resampling
set_tuningSet tuning strategy
sfformat_wintriFormat to sf and project to Winkel Tripel
tabulate_benchmarksTabulate benchmarks
tabulate_globalsummaryTabulate global summary
test_joincountJoin count test
test_thresholdsensitivityTest threshold sensitivity
threshold_datThreshold data (deprecated)
threshold_misclassThreshold misclassification
weighted_sdWeighted standard deviation
weighted_vimportance_nestedrfWeighted mean of variable importance for resampled RF learner
write_gaugepredsWrite gauge predictions
write_netpredsWrite river network predictions
zero_lomfLast [non-zero] Observation Moved Forward (lomf)
NaiaraLopezRojo/globalIRmap documentation built on Dec. 17, 2021, 5:19 a.m.