trending: Model Temporal Trends

Provides a coherent interface to multiple modelling tools for fitting trends along with a standardised approach for generating confidence and prediction intervals.

Version: 0.0.3
Imports: MASS, stats, utils, tibble, vctrs, ciTools
Suggests: brms, covr, ggplot2, knitr, outbreaks, patchwork, rmarkdown, dplyr, testthat
Published: 2021-04-19
Author: Dirk Schumacher [aut], Thibaut Jombart [aut], Tim Taylor ORCID iD [ctb, cre]
Maintainer: Tim Taylor <tim.taylor at hiddenelephants.co.uk>
BugReports: https://github.com/reconhub/trending/issues
License: MIT + file LICENSE
URL: https://github.com/reconhub/trending
NeedsCompilation: no
Materials: README NEWS
CRAN checks: trending results

Downloads:

Reference manual: trending.pdf
Vignettes: Introduction
Prediction intervals for GLMs
Package source: trending_0.0.3.tar.gz
Windows binaries: r-devel: trending_0.0.3.zip, r-release: trending_0.0.3.zip, r-oldrel: trending_0.0.3.zip
macOS binaries: r-release: trending_0.0.3.tgz, r-oldrel: trending_0.0.3.tgz
Old sources: trending archive

Reverse dependencies:

Reverse imports: i2extras, trendeval

Linking:

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