CRAN/E | fable

fable

Forecasting Models for Tidy Time Series

Installation

About

Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse.

fable.tidyverts.org
github.com/tidyverts/fable
Bug report File report

Key Metrics

Version 0.3.3
R ≥ 3.4.0
Published 2023-03-22 256 days ago
Needs compilation? yes
License GPL-3
CRAN checks fable results
Language en-GB

Downloads

Last 24 hours 375 -58%
Last 7 days 3.461 -20%
Last 30 days 16.538 -8%
Last 90 days 51.086 -6%
Last 365 days 243.964 +31%

Maintainer

Maintainer

Mitchell O'Hara-Wild

mail@mitchelloharawild.com

Authors

Mitchell O'Hara-Wild

aut / cre

Rob Hyndman

aut

Earo Wang

aut

Gabriel Caceres

ctb

(NNETAR implementation)

Christoph Bergmeir

ctb

Tim-Gunnar Hensel

ctb

Timothy Hyndman

ctb

Material

README
NEWS
Reference manual
Package source

In Views

TimeSeries

Vignettes

Introduction to fable
Forecasting with transformations

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

fable archive

Depends

R ≥ 3.4.0
fabletools ≥ 0.3.0

Imports

Rcpp ≥ 0.11.0
rlang ≥ 0.4.6
stats
dplyr ≥ 1.0.0
tsibble ≥ 0.9.0
tibble
tidyr
utils
distributional

Suggests

covr
feasts
forecast
knitr
nnet
rmarkdown
spelling
testthat
lmtest
tsibbledata ≥ 0.2.0

LinkingTo

Rcpp ≥ 0.11.0

Reverse Imports

fpp3
oddnet

Reverse Suggests

fabletools
feasts
ProbReco