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doBy: Groupwise Statistics, LSmeans, Linear Estimates, Utilities

Utility package containing: 1) Facilities for working with grouped data: 'do' something to data stratified 'by' some variables. 2) LSmeans (least-squares means), general linear estimates. 3) Restrict functions to a smaller domain. 4) Miscellaneous other utilities.

Version: 4.6.24
Depends: R (≥ 4.2.0), methods
Imports: boot, broom, cowplot, Deriv, dplyr, ggplot2, MASS, Matrix, modelr, microbenchmark, rlang, tibble, tidyr
Suggests: geepack, knitr, lme4, markdown, multcomp, pbkrtest (≥ 0.5.2), survival, testthat (≥ 2.1.0)
Published: 2024-10-07
DOI: 10.32614/CRAN.package.doBy
Author: Ulrich Halekoh [aut, cph], Søren Højsgaard [aut, cre, cph]
Maintainer: Søren Højsgaard <sorenh at math.aau.dk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/hojsgaard/doBy
NeedsCompilation: no
Materials: README NEWS
CRAN checks: doBy results

Documentation:

Reference manual: doBy.pdf
Vignettes: doby: Groupwise computations and miscellaneous utilities (source, R code)
doBy: Linear estimates and LSmeans (source, R code)
section_fun: Section functions to a smaller domain (source, R code)

Downloads:

Package source: doBy_4.6.24.tar.gz
Windows binaries: r-devel: doBy_4.6.24.zip, r-release: doBy_4.6.24.zip, r-oldrel: doBy_4.6.24.zip
macOS binaries: r-release (arm64): doBy_4.6.24.tgz, r-oldrel (arm64): doBy_4.6.24.tgz, r-release (x86_64): doBy_4.6.24.tgz, r-oldrel (x86_64): doBy_4.6.24.tgz
Old sources: doBy archive

Reverse dependencies:

Reverse depends: frailtypack
Reverse imports: atable, BaalChIP, BayesNetBP, caracas, daltoolboxdp, fdANOVA, gRim, miclust, NormData, pbkrtest, Rphylopars, ScottKnott, SensMap, sicure, TukeyC
Reverse suggests: bfp, datarobot, PracTools, R2MLwiN, rattle, svydiags, wCorr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=doBy 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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