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DAAG: Data Analysis and Graphics Data and Functions

Functions and data sets used in examples and exercises in the text Maindonald, J.H. and Braun, W.J. (2003, 2007, 2010) "Data Analysis and Graphics Using R", and in an upcoming Maindonald, Braun, and Andrews text that builds on this earlier text.

Version: 1.25.6
Depends: R (≥ 3.5.0)
Imports: lattice, latticeExtra, methods, Rdpack
Suggests: leaps, oz, lme4, knitr, boot, rpart, randomForest, MASS, survival, mgcv, rmarkdown, bookdown, statmod, qgam
Published: 2024-05-26
DOI: 10.32614/CRAN.package.DAAG
Author: John H Maindonald and W. John Braun
Maintainer: W. John Braun <john.braun at ubc.ca>
License: GPL-3
URL: https://gitlab.com/daagur/DAAG
NeedsCompilation: no
Citation: DAAG citation info
Materials: README NEWS
In views: Survival
CRAN checks: DAAG results

Documentation:

Reference manual: DAAG.pdf
Vignettes: Use of Simulation to Assess Regression Diagnostics
Sampling Properties of Variable Selection

Downloads:

Package source: DAAG_1.25.6.tar.gz
Windows binaries: r-devel: DAAG_1.25.6.zip, r-release: DAAG_1.25.6.zip, r-oldrel: DAAG_1.25.6.zip
macOS binaries: r-release (arm64): DAAG_1.25.6.tgz, r-oldrel (arm64): DAAG_1.25.6.tgz, r-release (x86_64): DAAG_1.25.6.tgz, r-oldrel (x86_64): DAAG_1.25.6.tgz
Old sources: DAAG archive

Reverse dependencies:

Reverse imports: biClassify
Reverse suggests: DAAGbio, ecostats, fastR2, gamclass, gips

Linking:

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