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: 0.0.2
Imports: MASS, stats, utils, tibble, vctrs, dplyr
Suggests: brms, ciTools, covr, ggplot2, knitr, outbreaks, patchwork, rmarkdown, testthat
Published: 2020-11-18
Author: Dirk Schumacher [aut], Thibaut Jombart [aut], Tim Taylor ORCID iD [ctb, cre]
Maintainer: Tim Taylor <tim.taylor at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: trending results


Reference manual: trending.pdf
Vignettes: Introduction
Prediction intervals for GLMs
Package source: trending_0.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: trending_0.0.2.tgz, r-oldrel: trending_0.0.2.tgz
Old sources: trending archive

Reverse dependencies:

Reverse imports: i2extras, trendeval


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