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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 TaylorORCID 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 + fileLICENSE
URL:https://github.com/reconverse/trending
NeedsCompilation:no
Materials:README,NEWS
In views:Epidemiology
CRAN checks:trending results

Documentation:

Reference manual:trending.html ,trending.pdf
Vignettes:Introduction (source,R code)
Prediction intervals for GLMs (source,R code)

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 formhttps://CRAN.R-project.org/package=trendingto link to this page.


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