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Allows practitioners and researchers a wholesale approach for deriving magnitude-based inferences from raw data. A major goal of 'mbir' is to programmatically detect appropriate statistical tests to run in lieu of relying on practitioners to determine correct stepwise procedures independently.
Version: | 1.3.5 |
Imports: | graphics, stats, utils, effsize, psych |
Suggests: | knitr, testthat, rmarkdown |
Published: | 2019-01-22 |
DOI: | 10.32614/CRAN.package.mbir |
Author: | Kyle Peterson [aut, cre], Aaron Caldwell [aut] |
Maintainer: | Kyle Peterson <petersonkdon at gmail.com> |
License: | GPL-2 |
Copyright: | Segments of the package are based upon Will G. Hopkins' work. See vignette and COPYRIGHT file for details. |
URL: | http://mbir-project.us/ |
NeedsCompilation: | no |
CRAN checks: | mbir results |
Reference manual: | mbir.pdf |
Vignettes: |
Introduction to mbir |
Package source: | mbir_1.3.5.tar.gz |
Windows binaries: | r-devel: mbir_1.3.5.zip, r-release: mbir_1.3.5.zip, r-oldrel: mbir_1.3.5.zip |
macOS binaries: | r-release (arm64): mbir_1.3.5.tgz, r-oldrel (arm64): mbir_1.3.5.tgz, r-release (x86_64): mbir_1.3.5.tgz, r-oldrel (x86_64): mbir_1.3.5.tgz |
Old sources: | mbir archive |
Please use the canonical form https://CRAN.R-project.org/package=mbir 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.