Package: WRTDStidal 1.1.5

WRTDStidal: Weighted Regression for Water Quality Evaluation in Tidal Waters

An adaptation for estuaries (tidal waters) of weighted regression on time, discharge, and season to evaluate trends in water quality time series. Please see Beck and Hagy (2015) <doi:10.1007/s10666-015-9452-8> for details.

Authors:Marcus W. Beck [aut, cre]

WRTDStidal_1.1.5.tar.gz
WRTDStidal_1.1.5.zip(r-4.7)WRTDStidal_1.1.5.zip(r-4.6)WRTDStidal_1.1.5.zip(r-4.5)
WRTDStidal_1.1.5.tgz(r-4.6-any)WRTDStidal_1.1.5.tgz(r-4.5-any)
WRTDStidal_1.1.5.tar.gz(r-4.7-any)WRTDStidal_1.1.5.tar.gz(r-4.6-any)
WRTDStidal_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
WRTDStidal/json (API)

# Install 'WRTDStidal' in R:

install.packages('WRTDStidal', repos = c('https://fawda123.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fawda123/wrtdstidal/issues

Datasets:

chldat - Monthly chlorophyll time series for Hillsborough Bay
daydat - Daily chlorophyll, salinity, and discharge time series for the Upper Patuxent River Estuary
tidfit - Monthly chlorophyll time series for Hillsborough Bay as a tidal object
tidfitmean - Monthly chlorophyll time series for Hillsborough Bay as a tidal object for the conditional mean model
tidobj - Monthly chlorophyll time series for Hillsborough Bay as a tidal object
tidobjmean - Monthly chlorophyll time series for Hillsborough Bay as a tidal object, conditional mean model

On CRAN:

weighted-regression

5.33 score 4 stars 108 scripts 572 downloads 42 exports 88 dependencies

Last updated from:f0836adb1c. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	225
source / vignettes	OK	264
linux-release-x86_64	OK	218
macos-release-arm64	OK	132
macos-oldrel-arm64	OK	180
windows-devel	OK	160
windows-release	OK	174
windows-oldrel	OK	158
wasm-release	OK	142

Exports:aiccrq all_sims annual_agg chllab createsrch dec_time dynaplot fillpo fitmoplot fitplot getwts goodfit gradcols gridplot kendallSeasonalTrendTest kendallTrendTest lnQ_sim lnres_err lnres_sim modfit nobsplot obsplot prdnrmplot resnorm respred resscls samp_sim seasplot seasyrplot sliceplot tidal tidalmean winsrch_constrOptim winsrch_grid winsrch_optim wrtds wrtdscv wrtdsperf wrtdsrsd wrtdstrnd wrtdstrnd_sk wtsplot

Dependencies:caret class cli clock codetools colorspace cpp11 data.table diagram digest dotCall64 dplyr e1071 farver fields foreach forecast fracdiff future future.apply generics ggplot2 globals glue gower gridExtra gtable hardhat ipred isoband iterators KernSmooth labeling lattice lava lifecycle listenv lmtest lubridate magrittr maps MASS Matrix MatrixModels ModelMetrics nlme nnet numDeriv parallelly pillar pkgconfig plyr pROC prodlim progressr proxy purrr quantreg R6 RColorBrewer Rcpp RcppArmadillo recipes reshape2 rlang rpart S7 scales shape spam SparseM sparsevctrs SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tzdb urca utf8 vctrs viridisLite withr zoo

Package overview

Brief description of WRTDS for tidal waters | Using the functions | Fitting a WRTDS tidal model | Evaluating the results | Selecting window widths

Rendered fromoverview.Rmdusingknitr::rmarkdown

Last update: 2020-09-17
Started: 2019-11-17

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Akaike's Information Criterion for weighted quantile regression	aiccrq
Simulate a response variable time series using all functions	all_sims
Create annual aggregations of WRTDS output	annual_agg annual_agg.default
Monthly chlorophyll time series for Hillsborough Bay	chldat
Chlorophyll axis label	chllab
Get trend for a single time period	chngest
Create a grid of half-window widths to evaluate	createsrch
Daily chlorophyll, salinity, and discharge time series for the Upper Patuxent River Estuary	daydat
Create decimal time from time vector	dec_time dec_time.Date
Plot model response to salinity or flow as a lineplot for all months	dynaplot dynaplot.tidal dynaplot.tidalmean
Add date columns and fill missing values in the interpolation grids	fill_grd
Fill the 'predonobs' attribute	fillpo fillpo.tidal fillpo.tidalmean
Plot the fitted results for a tidal object by month	fitmoplot fitmoplot.tidal fitmoplot.tidalmean
Plot the fitted results for a tidal object	fitplot fitplot.tidal fitplot.tidalmean
Get weights for regression	getwts getwts.default
Quantile regression goodness of fit	goodfit
Get colors for plots	gradcols
Plot variable response to salinity/flow as a gridded surface for all months	gridplot gridplot.tidal gridplot.tidalmean
Kendall seasonal trend test	kendallSeasonalTrendTest kendallSeasonalTrendTest.data.frame kendallSeasonalTrendTest.default kendallSeasonalTrendTest.formula kendallSeasonalTrendTest.matrix
Kendall trend test	kendallTrendTest kendallTrendTest.default kendallTrendTest.formula
Simulate a discharge time series	lnQ_sim
Simulate random errors from a time series	lnres_err
Simulate a water quality time series	lnres_sim
Fit weighted regression and get predicted/normalized response variable	modfit modfit.data.frame modfit.default modfit.tidal modfit.tidalmean
Plot number of observations in a WRTDS interpolation grid	nobsplot nobsplot.default nobsplot.tidal nobsplot.tidalmean
Plot observed response variable and salinity/flow data	obsplot obsplot.default obsplot.tidal obsplot.tidalmean
Plot combined predicted and normalized results from a tidal object	prdnrmplot prdnrmplot.tidal prdnrmplot.tidalmean
Get salinity/flow normalized WRTDS predictions from interpolation grids	resnorm resnorm.tidal resnorm.tidalmean
Get WRTDS predictions from interpolation grids	respred respred.tidal respred.tidalmean
Get the scale parameters for predicted values	resscls resscls.tidalmean
Sample a daily time series at a set frequency	samp_sim
Plot seasonal trends across all years	seasplot seasplot.tidal seasplot.tidalmean
Plot seasonal model response by years	seasyrplot seasyrplot.tidal seasyrplot.tidalmean
Plot time slices within a tidal object	sliceplot sliceplot.tidal sliceplot.tidalmean
Create a tidal class object	tidal
Create a tidalmean class object	tidalmean
Monthly chlorophyll time series for Hillsborough Bay as a tidal object	tidfit
Monthly chlorophyll time series for Hillsborough Bay as a tidal object for the conditional mean model	tidfitmean
Monthly chlorophyll time series for Hillsborough Bay as a tidal object	tidobj
Monthly chlorophyll time series for Hillsborough Bay as a tidal object, conditional mean model	tidobjmean
Find the optimal half-window width combination	winsrch_constrOptim winsrch_constrOptim.default
Evaluate half-window width combinations	winsrch_grid winsrch_grid.default
Find the optimal half-window width combination	winsrch_optim winsrch_optim.default
Get WRTDS prediction grid	wrtds wrtds.tidal wrtds.tidalmean
Use k-fold cross-validation to evaluate WRTDS model fit	wrtdscv wrtdscv.default
Get WRTDS performance metrics	wrtdsperf wrtdsperf.tidal wrtdsperf.tidalmean
Get WRTDS residuals	wrtdsrsd wrtdsrsd.tidal wrtdsrsd.tidalmean
Get WRTDS trends	wrtdstrnd wrtdstrnd.default wrtdstrnd.tidal wrtdstrnd.tidalmean
Get WRTDS trends using seasonal Kendall tests	wrtdstrnd_sk wrtdstrnd_sk.default wrtdstrnd_sk.tidal wrtdstrnd_sk.tidalmean
Plot the weights for an observation	wtsplot wtsplot.default wtsplot.tidal wtsplot.tidalmean