The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

MMRcaseselection: Case Classification and Selection Based on Regression Results

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 ORCID iD [aut, cre]
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

Documentation:

Reference manual: MMRcaseselection.pdf
Vignettes: Classification as typical and deviant
Extreme case
Most typical and most deviant
Pathway case

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MMRcaseselection 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.
Health stats visible at Monitor.