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)predtoolsTS_1.0.0.zip(r-4.6)predtoolsTS_1.0.0.zip(r-4.5)
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
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 189 downloads 23 exports 118 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK150
source / vignettesOK185
linux-release-x86_64OK142
macos-release-arm64OK115
macos-oldrel-arm64OK128
windows-develOK108
windows-releaseOK95
windows-oldrelOK89
wasm-releaseOK134

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