Package: smwrStats 0.7.6

Dave Lorenz

smwrStats: R functions to support statistical methods in water resources

Useful tools for the analysis of hydrologic data, not inlcuding censored water-quality data.

Authors:Dave Lorenz [cre], Laura De Cicco [ctb]

smwrStats_0.7.6.tar.gz
smwrStats_0.7.6.zip(r-4.5)smwrStats_0.7.6.zip(r-4.4)smwrStats_0.7.6.zip(r-4.3)
smwrStats_0.7.6.tgz(r-4.4-x86_64)smwrStats_0.7.6.tgz(r-4.4-arm64)smwrStats_0.7.6.tgz(r-4.3-x86_64)smwrStats_0.7.6.tgz(r-4.3-arm64)
smwrStats_0.7.6.tar.gz(r-4.5-noble)smwrStats_0.7.6.tar.gz(r-4.4-noble)
smwrStats_0.7.6.tgz(r-4.4-emscripten)smwrStats_0.7.6.tgz(r-4.3-emscripten)
smwrStats.pdf |smwrStats.html✨
smwrStats/json (API)

# Install 'smwrStats' in R:
install.packages('smwrStats', repos = c('https://ldecicco-usgs.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/usgs-r/smwrstats/issues

On CRAN:

6.06 score 14 stars 1 packages 78 scripts 41 exports 73 dependencies

Last updated 2 years agofrom:dbd276f025. Checks:OK: 1 ERROR: 1 NOTE: 3 WARNING: 4. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64WARNINGNov 06 2024
R-4.5-linux-x86_64ERRORNov 06 2024
R-4.4-win-x86_64WARNINGNov 06 2024
R-4.4-mac-x86_64WARNINGNov 06 2024
R-4.4-mac-aarch64WARNINGNov 06 2024
R-4.3-win-x86_64NOTENov 06 2024
R-4.3-mac-x86_64NOTENov 06 2024
R-4.3-mac-aarch64NOTENov 06 2024

Exports:allRegancovaRegbinaryRegconfirmcor.allcurvigrubbs.testhosmerLemeshow.testjackknifeMove.1kensen.testleCessie.testmove.1move.2multicomp.testmultRegoptimBoxCoxpercentilepgrubbsppcc.testpredictDuanpredictFergusonpredictMVUEpressprintCorqgrubbsqtiles.CIregkenrmserocrpdseakenseasonalPeakseasonalWaveselBestWavesenSlopeserial.testskewsumStatstimeWeightedMeantrendsvif

Dependencies:abindakimabackportsbootbroomcachemcarcarDataclicolorspacecowplotcpp11DerivdigestdoBydplyrfansifarverfastmapFormulagenericsggplot2gluegtableisobandKernSmoothlabelinglatticeleapslifecyclelme4lubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6randtestsRColorBrewerRcppRcppEigenrlangscalessmwrBasesmwrGraphsspSparseMstringistringrsurvivaltibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithr

ANCOVA

Rendered fromANCOVA.Rnwusingutils::Sweaveon Nov 06 2024.

Last update: 2016-01-04
Started: 2014-12-29

CompareGroups

Rendered fromCompareGroups.Rnwusingutils::Sweaveon Nov 06 2024.

Last update: 2016-01-04
Started: 2014-12-29

Logistic

Rendered fromLogistic.Rnwusingutils::Sweaveon Nov 06 2024.

Last update: 2016-01-04
Started: 2014-12-29

LowFlowExtension

Rendered fromLowFlowExtension.Rnwusingutils::Sweaveon Nov 06 2024.

Last update: 2016-01-04
Started: 2015-02-27

RecordExtension

Rendered fromRecordExtension.Rnwusingutils::Sweaveon Nov 06 2024.

Last update: 2016-01-04
Started: 2015-01-23

Regression

Rendered fromRegression.Rnwusingutils::Sweaveon Nov 06 2024.

Last update: 2016-01-04
Started: 2014-12-29

Trends

Rendered fromTrends.Rnwusingutils::Sweaveon Nov 06 2024.

Last update: 2017-07-28
Started: 2014-12-29

Readme and manuals

Help Manual

Help pageTopics
General tools for hydrologic data and trend analysis.smwrStats-package smwrStats
All Subsets RegressionallReg
Diagnostics for Analysis of CovarianceancovaReg
Diagnostics for Logistic RegressionbinaryReg
Confirm an Analysisconfirm confirm.default
Confirm Seasonal Peakconfirm.seasonalPeak
Compute Cross Correlationscor.all
Curvi-Linear Trendscurvi
Test for Outliergrubbs.test
The Hosmer-Lemeshow TesthosmerLemeshow.test
Jackknife move.1jackknifeMove.1
Test for a Trendkensen.test
The le Cessie-van Houwelingen TestleCessie.test
Utility Function for Safe Predictionmakepredictcall.trends
Maintenance of Variance Extension, Type 1move.1
Maintenance of Variance Extension, Type 2move.2
Multiple Comparisonsmulticomp.test
Diagnostics for Linear RegressionmultReg
Multivariate Unconditional Box-Cox TransformationsoptimBoxCox
Empirical Cumulative Percentpercentile percentile.default
Diagnostic Plotsplot.ancovaReg plot.binaryreg plot.cor.all plot.lecessie plot.move.1 plot.move.2 plot.multReg plot.roc plot.senSlope plot.Stats
Diagnostic Plotsplot.htest plot.kensen plot.ppcc
Test for Normalityppcc.test
Predict Maintenance of Variance Extension, Type 1predict.move.1
Predict Maintenance of Variance Extension, Type 2predict.move.2
Predict Values.predict.senSlope
Bias Corrected PredictionspredictDuan predictFerguson predictMVUE
Prediction Error Sum of Squarespress
Print Objectsprint.ancovaReg
Print Objectsprint.binaryreg
Print Objectsprint.cor.all
Print Objectsprint.lecessie
Print Objectsprint.MCT
Print Objectsprint.move.1
Print Objectsprint.move.2
Print Objectsprint.multReg
Print Objectprint.optimBoxCox
Print Objectprint.roc
Print Objectsprint.seasonalPeak
Print Objectsprint.senSlope
Print ObjectsprintCor
The Grubbs DistributionGrubbs pgrubbs qgrubbs
Quantiles with Confidence Limitsqtiles.CI
Sample Quantilesquantile.numeric
Trend Testregken
Root-Mean-Squared and Relative Differencesrmse rmse.default rmse.lm rpd
Receiver Operator Characteristics for Logistic Regressionroc
Trend Testseaken
Seasonal Peak TimingseasonalPeak
Seasonal WaveseasonalWave
Compute Seasonal Wave ModelseasonalWave.fit
Compute Seasonal Wave ModelseasonalWave.wt
Select the "Best" Seasonal WaveselBestWave
Compute the Sen SlopesenSlope
Test for Serial Correlationserial.test
Series PlotseriesPlot seriesPlot.seaken
Skewnessskew
Summarize Correlationssummary.cor.all
Compute Summary StatisticssumStats
Time-Weighted MeantimeWeightedMean
Basis for Piecewise Linear Trendstrends
Variance Inflation Factorsvif vif.lm