Package: TACforecasting 0.0.1

TACforecasting: Forecasting Functions for the Transport Accident Commission

Functions to make hierarchical time series forecasts of attendant care hours easier.

Authors:Rob Hyndman [aut, cre, cph]

TACforecasting_0.0.1.tar.gz
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TACforecasting.pdf |TACforecasting.html
TACforecasting/json (API)

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

Peer review:

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

Datasets:
  • group_costs - Synthetic data for attendant hours by age group and injury group

On CRAN:

2.00 score 2 stars 3 scripts 6 exports 89 dependencies

Last updated 1 years agofrom:8e5ea07ad4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winOKNov 12 2024
R-4.5-linuxOKNov 12 2024
R-4.4-winOKNov 12 2024
R-4.4-macOKNov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:get_forecastsplot_forecastsplot_total_hoursread_tac_datatac_accuracytscv_accuracy

Dependencies:abindanytimeBHbitbit64clicliprcodetoolscolorspacecpp11crayoncurldata.tabledigestdistributionaldplyrellipsisfabletoolsfansifarverforcatsforecastfracdifffurrrfuturegenericsggdistggplot2globalsgluegtablehmshtsisobandjanitorjsonlitelabelinglatticelifecyclelistenvlmtestlubridatemagrittrMASSMatrixmgcvmunsellnlmennetnumDerivparallellypillarpkgconfigprettyunitsprogressprogressrpurrrquadprogquantmodR6RColorBrewerRcppRcppArmadilloRcppEigenreadrrlangscalessnakecaseSparseMstringistringrtibbletidyrtidyselecttimechangetimeDatetsboxtseriestsibbleTTRtzdburcautf8vctrsviridisLitevroomwithrxtszoo