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: 0.1.0
Imports: ciTools, MASS, stats, tibble, vctrs, pillar
Suggests: knitr, brms, BH, RcppEigen, rmarkdown, dplyr, outbreaks, testthat (≥ 3.0.0), ggplot2, patchwork, covr
Published: 2023-04-03
Author: Tim Taylor ORCID iD [aut], Dirk Schumacher [ctb], Thibaut Jombart [ctb, cre]
Maintainer: Thibaut Jombart <thibautjombart at gmail.com>
BugReports: https://github.com/reconverse/trending/issues
License: MIT + file LICENSE
URL: https://github.com/reconverse/trending
NeedsCompilation: no
Materials: README NEWS
In views: Epidemiology
CRAN checks: trending results

Documentation:

Reference manual: trending.pdf
Vignettes: Introduction
Prediction intervals for GLMs

Downloads:

Package source: trending_0.1.0.tar.gz
Windows binaries: r-devel: trending_0.1.0.zip, r-release: trending_0.1.0.zip, r-oldrel: trending_0.1.0.zip
macOS binaries: r-release (arm64): trending_0.1.0.tgz, r-oldrel (arm64): trending_0.1.0.tgz, r-release (x86_64): trending_0.1.0.tgz
Old sources: trending archive

Reverse dependencies:

Reverse imports: trendeval

Linking:

Please use the canonical form https://CRAN.R-project.org/package=trending to link to this page.