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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
DOI: 10.32614/CRAN.package.trending
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, r-oldrel (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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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