Package: thief 0.3

thief: Temporal Hierarchical Forecasting

Methods and tools for generating forecasts at different temporal frequencies using a hierarchical time series approach.

Authors:Rob Hyndman [aut, cre, cph], Nikolaos Kourentzes [aut, cph]

thief_0.3.tar.gz
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thief_0.3.tgz(r-4.4-any)thief_0.3.tgz(r-4.3-any)
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thief.pdf |thief.html
thief/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/robjhyndman/thief/issues

Datasets:
  • AEdemand - Accident and Emergency demand in the UK

On CRAN:

3 exports 46 stars 3.33 score 48 dependencies 2 dependents 1 mentions 76 scripts 3.6k downloads

Last updated 1 years agofrom:f1bbccfda2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winOKSep 10 2024
R-4.5-linuxOKSep 10 2024
R-4.4-winOKSep 10 2024
R-4.4-macOKSep 10 2024
R-4.3-winOKSep 10 2024
R-4.3-macOKSep 10 2024

Exports:reconcilethiefthieftsaggregates

Dependencies:clicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegtablehtsisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalesSparseMtibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo