Package: predtoolsTS 1.0.0

predtoolsTS: Time Series Prediction Tools

Makes the time series prediction easier by automatizing this process using four main functions: prep(), modl(), pred() and postp(). Features different preprocessing methods to homogenize variance and to remove trend and seasonality. Also has the potential to bring together different predictive models to make comparatives. Features ARIMA and Data Mining Regression models (using caret).

Authors:Alberto Vico Moreno [aut, cre], Antonio Jesus Rivera Rivas [aut, ths], Maria Dolores Perez Godoy [aut, ths]

predtoolsTS_1.0.0.tar.gz
predtoolsTS_1.0.0.zip(r-4.7-any)predtoolsTS_1.0.0.zip(r-4.6-any)predtoolsTS_1.0.0.zip(r-4.5-any)
predtoolsTS_1.0.0.tgz(r-4.6-any)predtoolsTS_1.0.0.tgz(r-4.5-any)
predtoolsTS_1.0.0.tar.gz(r-4.7-any)predtoolsTS_1.0.0.tar.gz(r-4.6-any)
predtoolsTS_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
predtoolsTS/json (API)

# Install 'predtoolsTS' in R:
install.packages('predtoolsTS', repos = c('https://avm00016.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/avm00016/predtoolsts/issues

On CRAN:

Conda:

3.20 score 1 stars 32 scripts 229 downloads 23 exports 118 dependencies

Last updated from:11384b2630. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK128
source / vignettesOK403
linux-releaseOK158
macos-releaseOK177
macos-oldrelOK192
windows-develOK91
windows-releaseOK89
windows-oldrelOK86
wasm-releaseOK130

Exports:modlmodl.arimamodl.dataMiningmodl.trControlmodl.tsToDataFramepostppostp.deseason.differencingpostp.detrend.differencingpostp.detrend.sfsmpostp.homogenize.boxcoxpostp.homogenize.logpredpred.arimapred.compareModelspred.dataMiningprepprep.check.acfprep.check.adfprep.deseason.differencingprep.detrend.differencingprep.detrend.sfsmprep.homogenize.boxcoxprep.homogenize.log

Dependencies:backportsbase64enccaretclasscliclockcodetoolscolorspaceconfigcpp11curldata.tablediagramdigestdplyre1071elmNNRcppfarverforeachforecastfracdifffuturefuture.applygenericsggplot2globalsgluegowergtablehardhathereinsightipredisobanditeratorsjsonlitekerasKernelKnnKernSmoothKFASlabelinglatticelavalifecyclelistenvlmtestlubridatemagrittrMASSMatrixMetricsModelMetricsMuMInnlmennetnumDerivparallellypillarpkgconfigplyrpngpROCprocessxprodlimprogressrproxypspurrrquadprogquantmodR6randomForestrappdirsRColorBrewerRcppRcppArmadilloRcppTOMLrecipesreshape2reticulaterlangRlibeemdrpartrprojrootRSNNSrstudioapiS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltensorflowtfautographtfdatasetstfrunstibbletidyrtidyselecttimechangetimeDatetseriesTSPredTTRtzdburcautf8vctrsviridisLitewaveletswhiskerwithrxtsyamlzeallotzoo