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
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

Downloads:

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-release (x86_64): MMRcaseselection_0.1.0.tgz, r-oldrel: MMRcaseselection_0.1.0.tgz

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