Package: MMRcaseselection 0.2.0

Ingo Rohlfing

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.

Authors:Ingo Rohlfing [aut, cre]

MMRcaseselection_0.2.0.tar.gz
MMRcaseselection_0.2.0.tar.gz(r-4.7-any)MMRcaseselection_0.2.0.tar.gz(r-4.6-any)
MMRcaseselection_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
MMRcaseselection/json (API)
NEWS

# Install 'MMRcaseselection' in R:
install.packages('MMRcaseselection', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ingorohlfing/mmrcaseselection/issues

On CRAN:

Conda:

3.38 score 12 scripts 18 downloads 12 exports 17 dependencies

Last updated from:916774c42a. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK123
source / vignettesOK168
linux-release-x86_64OK133
wasm-releaseOK105

Exports:extreme_on_xextreme_on_ymost_deviantmost_overpredictedmost_typicalmost_underpredictedpathwaypathway_xvrpredintpredint_plotresidstdresidstd_plot

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr

Classification as typical and deviant

Rendered fromClassification-as-typical-and-deviant.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2020-06-03
Started: 2020-06-03

Extreme case

Rendered fromExtreme-case.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2020-06-03
Started: 2020-06-03

Most typical and most deviant

Rendered fromMost-typical-and-most-deviant.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2020-06-03
Started: 2020-06-03

Pathway case

Rendered fromPathway-case.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2020-06-03
Started: 2020-06-03