CRAN/E | TSPred

TSPred

Functions for Benchmarking Time Series Prediction

Installation

About

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.

Citation TSPred citation info
github.com/RebeccaSalles/TSPred/wiki
Bug report File report

Key Metrics

Version 5.1
R ≥ 3.5.0
Published 2021-01-21 1163 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks TSPred results

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Maintainer

Maintainer

Rebecca Pontes Salles

rebeccapsalles@acm.org

Authors

Rebecca Pontes Salles

aut / cre / cph

(CEFET/RJ)

Eduardo Ogasawara

ths

(CEFET/RJ)

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

TSPred archive

Depends

R ≥ 3.5.0

Imports

forecast
KFAS
stats
MuMIn
EMD
wavelets
vars
ModelMetrics
RSNNS
Rlibeemd
e1071
elmNNRcpp
nnet
randomForest
magrittr
plyr
methods
dplyr
keras
tfdatasets

Reverse Imports

predtoolsTS