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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-4.7)smwrStats_0.7.6.zip(r-4.6)smwrStats_0.7.6.zip(r-4.5)
smwrStats_0.7.6.tgz(r-4.6-x86_64)smwrStats_0.7.6.tgz(r-4.6-arm64)smwrStats_0.7.6.tgz(r-4.5-x86_64)smwrStats_0.7.6.tgz(r-4.5-arm64)
smwrStats_0.7.6.tar.gz(r-4.7-arm64)smwrStats_0.7.6.tar.gz(r-4.7-x86_64)smwrStats_0.7.6.tar.gz(r-4.6-arm64)smwrStats_0.7.6.tar.gz(r-4.6-x86_64)
smwrStats_0.7.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
smwrStats/json (API)

# Install 'smwrStats' in R:

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

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

On CRAN:

4.21 score 14 stars 1 packages 78 scripts 41 exports 82 dependencies

Last updated from:dbd276f025. Checks:11 WARNING, 1 ERROR, 1 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	WARNING	156
linux-devel-x86_64	WARNING	172
source / vignettes	ERROR	234
linux-release-arm64	WARNING	142
linux-release-x86_64	WARNING	174
macos-release-arm64	WARNING	111
macos-release-x86_64	WARNING	172
macos-oldrel-arm64	WARNING	102
macos-oldrel-x86_64	WARNING	210
windows-devel	WARNING	118
windows-release	WARNING	110
windows-oldrel	WARNING	137
wasm-release	OK	129

Exports:allReg ancovaReg binaryReg confirm cor.all curvi grubbs.test hosmerLemeshow.test jackknifeMove.1 kensen.test leCessie.test move.1 move.2 multicomp.test multReg optimBoxCox percentile pgrubbs ppcc.test predictDuan predictFerguson predictMVUE press printCor qgrubbs qtiles.CI regken rmse roc rpd seaken seasonalPeak seasonalWave selBestWave senSlope serial.test skew sumStats timeWeightedMean trends vif

Dependencies:abind akima backports boot broom cachem car carData cli colorspace cowplot cpp11 Deriv digest doBy dplyr farver fastmap forecast Formula fracdiff generics ggplot2 glue gtable isoband KernSmooth labeling lattice leaps lifecycle lme4 lmtest lubridate magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark minqa modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 randtests rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang S7 scales smwrBase smwrGraphs sp SparseM stringi stringr survival tibble tidyr tidyselect timechange timeDate urca utf8 vctrs viridisLite withr zoo

Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
General tools for hydrologic data and trend analysis.	smwrStats-package smwrStats
All Subsets Regression	allReg
Diagnostics for Analysis of Covariance	ancovaReg
Diagnostics for Logistic Regression	binaryReg
Confirm an Analysis	confirm confirm.default
Confirm Seasonal Peak	confirm.seasonalPeak
Compute Cross Correlations	cor.all
Curvi-Linear Trends	curvi
Test for Outlier	grubbs.test
The Hosmer-Lemeshow Test	hosmerLemeshow.test
Jackknife move.1	jackknifeMove.1
Test for a Trend	kensen.test
The le Cessie-van Houwelingen Test	leCessie.test
Utility Function for Safe Prediction	makepredictcall.trends
Maintenance of Variance Extension, Type 1	move.1
Maintenance of Variance Extension, Type 2	move.2
Multiple Comparisons	multicomp.test
Diagnostics for Linear Regression	multReg
Multivariate Unconditional Box-Cox Transformations	optimBoxCox
Empirical Cumulative Percent	percentile percentile.default
Diagnostic Plots	plot.ancovaReg plot.binaryreg plot.cor.all plot.lecessie plot.move.1 plot.move.2 plot.multReg plot.roc plot.senSlope plot.Stats
Diagnostic Plots	plot.htest plot.kensen plot.ppcc
Test for Normality	ppcc.test
Predict Maintenance of Variance Extension, Type 1	predict.move.1
Predict Maintenance of Variance Extension, Type 2	predict.move.2
Predict Values.	predict.senSlope
Bias Corrected Predictions	predictDuan predictFerguson predictMVUE
Prediction Error Sum of Squares	press
Print Objects	print.ancovaReg
Print Objects	print.binaryreg
Print Objects	print.cor.all
Print Objects	print.lecessie
Print Objects	print.MCT
Print Objects	print.move.1
Print Objects	print.move.2
Print Objects	print.multReg
Print Object	print.optimBoxCox
Print Object	print.roc
Print Objects	print.seasonalPeak
Print Objects	print.senSlope
Print Objects	printCor
The Grubbs Distribution	Grubbs pgrubbs qgrubbs
Quantiles with Confidence Limits	qtiles.CI
Sample Quantiles	quantile.numeric
Trend Test	regken
Root-Mean-Squared and Relative Differences	rmse rmse.default rmse.lm rpd
Receiver Operator Characteristics for Logistic Regression	roc
Trend Test	seaken
Seasonal Peak Timing	seasonalPeak
Seasonal Wave	seasonalWave
Compute Seasonal Wave Model	seasonalWave.fit
Compute Seasonal Wave Model	seasonalWave.wt
Select the "Best" Seasonal Wave	selBestWave
Compute the Sen Slope	senSlope
Test for Serial Correlation	serial.test
Series Plot	seriesPlot seriesPlot.seaken
Skewness	skew
Summarize Correlations	summary.cor.all
Compute Summary Statistics	sumStats
Time-Weighted Mean	timeWeightedMean
Basis for Piecewise Linear Trends	trends
Variance Inflation Factors	vif vif.lm