Package: TSPred
Type: Package
Title: Functions for Benchmarking Time Series Prediction
Version: 5.1.1
Date: 2025-06-10
Authors@R: c(person(c("Rebecca", "Pontes"),"Salles", role = c("aut", "cre","cph"),email = "rebeccapsalles@acm.org", comment = "CEFET/RJ"),
			 person("Eduardo","Ogasawara", role = c("ths"),email = "eogasawara@ieee.org", comment = "CEFET/RJ"))
Author: Rebecca Pontes Salles [aut, cre, cph] (CEFET/RJ), Eduardo
        Ogasawara [ths] (CEFET/RJ)
Maintainer: Rebecca Pontes Salles <rebeccapsalles@acm.org>
Description: Functions for defining and conducting a time series
        prediction process including pre(post)processing,
        decomposition, modelling, prediction and accuracy assessment.
        The generated models and its yielded prediction errors can be
        used for benchmarking other time series prediction methods and
        for creating a demand for the refinement of such methods. For
        this purpose, benchmark data from prediction competitions may
        be used.
Depends: R (>= 3.5.0)
Imports: forecast, KFAS, stats, MuMIn, wavelets, ModelMetrics, RSNNS,
        Rlibeemd, e1071, elmNNRcpp, nnet, randomForest, magrittr, plyr,
        methods, dplyr, keras, tfdatasets
License: GPL (>= 2)
BugReports: https://github.com/RebeccaSalles/TSPred/issues
URL: https://github.com/RebeccaSalles/TSPred/wiki
RoxygenNote: 7.3.2
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-12 11:37:08 UTC; root
Config/pak/sysreqs: libgsl0-dev libpng-dev python3
Repository: https://rebeccasalles.r-universe.dev
Date/Publication: 2025-06-10 21:13:19 UTC
RemoteUrl: https://github.com/rebeccasalles/tspred
RemoteRef: HEAD
RemoteSha: 75d706b876dfb60ff47ab142edee2a1946d639ba