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adas.utils: Design of Experiments and Factorial Plans Utilities

A number of functions to create and analyze factorial plans according to the Design of Experiments (DoE) approach, with the addition of some utility function to perform some statistical analyses. DoE approach follows the approach in "Design and Analysis of Experiments" by Douglas C. Montgomery (2019, ISBN:978-1-119-49244-3). The package also provides utilities used in the course "Analysis of Data and Statistics" at the University of Trento, Italy.

Version: 1.0.0
Depends: R (≥ 4.0.0)
Imports: dplyr, gghalfnorm, ggplot2, glue, grDevices, lubridate, magrittr, purrr, readr, rlang, scales, stats, stringr, tibble, tidyr, utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), tidyverse
Published: 2024-12-18
DOI: 10.32614/CRAN.package.adas.utils
Author: Paolo Bosetti [aut, cre]
Maintainer: Paolo Bosetti <paolo.bosetti at unitn.it>
License: CC BY 4.0
NeedsCompilation: no
Materials: README NEWS
CRAN checks: adas.utils results

Documentation:

Reference manual: adas.utils.pdf
Vignettes: ADAS Utils vignette (source, R code)

Downloads:

Package source: adas.utils_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: adas.utils_1.0.0.zip, r-oldrel: adas.utils_1.0.0.zip
macOS binaries: r-release (arm64): adas.utils_1.0.0.tgz, r-oldrel (arm64): adas.utils_1.0.0.tgz, r-release (x86_64): adas.utils_1.0.0.tgz, r-oldrel (x86_64): adas.utils_1.0.0.tgz

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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.
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