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Researchers doing a mixed-methods analysis (nested analysis as developed by Lieberman (2005) <doi:10.1017/S0003055405051762>) can use the package for the classification of cases and case selection using results of a linear regression. One can designate cases as typical, deviant, extreme and pathway case and use different case selection strategies for the choice of a case belonging to one of these types.
Version: | 0.1.0 |
Depends: | R (≥ 2.10) |
Imports: | stats, ggplot2 |
Suggests: | knitr, rmarkdown |
Published: | 2020-06-03 |
DOI: | 10.32614/CRAN.package.MMRcaseselection |
Author: | Ingo Rohlfing |
Maintainer: | Ingo Rohlfing <i.rohlfing at uni-koeln.de> |
BugReports: | https://github.com/ingorohlfing/MMRcaseselection |
License: | GPL-3 |
URL: | https://github.com/ingorohlfing/MMRcaseselection |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README |
CRAN checks: | MMRcaseselection results |
Reference manual: | MMRcaseselection.pdf |
Vignettes: |
Classification as typical and deviant Extreme case Most typical and most deviant Pathway case |
Package source: | MMRcaseselection_0.1.0.tar.gz |
Windows binaries: | r-devel: MMRcaseselection_0.1.0.zip, r-release: MMRcaseselection_0.1.0.zip, r-oldrel: MMRcaseselection_0.1.0.zip |
macOS binaries: | r-release (arm64): MMRcaseselection_0.1.0.tgz, r-oldrel (arm64): MMRcaseselection_0.1.0.tgz, r-release (x86_64): MMRcaseselection_0.1.0.tgz, r-oldrel (x86_64): MMRcaseselection_0.1.0.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.