Package: MMRcaseselection 0.1.0
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:
MMRcaseselection_0.1.0.tar.gz
MMRcaseselection_0.1.0.zip(r-4.5)MMRcaseselection_0.1.0.zip(r-4.4)MMRcaseselection_0.1.0.zip(r-4.3)
MMRcaseselection_0.1.0.tgz(r-4.5-any)MMRcaseselection_0.1.0.tgz(r-4.4-any)MMRcaseselection_0.1.0.tgz(r-4.3-any)
MMRcaseselection_0.1.0.tar.gz(r-4.5-noble)MMRcaseselection_0.1.0.tar.gz(r-4.4-noble)
MMRcaseselection_0.1.0.tgz(r-4.4-emscripten)MMRcaseselection_0.1.0.tgz(r-4.3-emscripten)
MMRcaseselection.pdf |MMRcaseselection.html✨
MMRcaseselection/json (API)
| # Install 'MMRcaseselection' in R: |
| install.packages('MMRcaseselection', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ingorohlfing/mmrcaseselection/issues
Last updated 2 days agofrom:e655e6bb24 (on package/MMRcaseselection). Checks:6 OK, 3 NOTE. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Apr 01 2025 |
| R-4.5-win | NOTE | Apr 01 2025 |
| R-4.5-mac | NOTE | Apr 01 2025 |
| R-4.5-linux | NOTE | Apr 01 2025 |
| R-4.4-win | OK | Apr 01 2025 |
| R-4.4-mac | OK | Apr 01 2025 |
| R-4.4-linux | OK | Apr 01 2025 |
| R-4.3-win | OK | Apr 01 2025 |
| R-4.3-mac | OK | Apr 01 2025 |
Exports:extreme_on_xextreme_on_ymost_deviantmost_overpredictedmost_typicalmost_underpredictedpathwaypathway_xvrpredintpredint_plotresidstdresidstd_plot
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Classification as typical and deviant
Rendered fromClassification-as-typical-and-deviant.Rmdusingknitr::rmarkdownon Apr 01 2025.Last update: 2025-04-01
Started: 2025-04-01
Extreme case
Rendered fromExtreme-case.Rmdusingknitr::rmarkdownon Apr 01 2025.Last update: 2025-04-01
Started: 2025-04-01
Most typical and most deviant
Rendered fromMost-typical-and-most-deviant.Rmdusingknitr::rmarkdownon Apr 01 2025.Last update: 2025-04-01
Started: 2025-04-01
Pathway case
Rendered fromPathway-case.Rmdusingknitr::rmarkdownon Apr 01 2025.Last update: 2025-04-01
Started: 2025-04-01
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extremeness of cases on an independent variable | extreme_on_x |
| Extremeness of cases on the dependent variable | extreme_on_y |
| Identification of the most deviant case | most_deviant |
| Identification of the most overpredicted case | most_overpredicted |
| Identification of the most typical case | most_typical |
| Identification of the most underpredicted case | most_underpredicted |
| Pathway case | pathway |
| Plot of residuals against pathway variable | pathway_xvr |
| Classification of cases as typical and deviant using a prediction interval. | predint |
| Plot of typical and deviant cases with prediction intervals | predint_plot |
| Classification of cases as typical and deviant using the standard deviation of the residuals. | residstd |
| Plot of typical and deviant cases based on residuals' standard deviation | residstd_plot |