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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 [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 |
Reference manual: | trending.pdf |
Vignettes: |
Introduction Prediction intervals for GLMs |
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 imports: | trendeval |
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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.