Case Classification and Selection Based on Regression Results

Researchers doing a mixed-methods analysis (nested analysis as developed by Lieberman (2005) ) 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.

MMRcaseselection

Overview

Classification and choice of cases for case studies based on regression results.

For now, the package contains functions for the classification of cases as typical, deviant, extreme or pathway cases and the choice of these types of cases. At this stage, the focus is on single cases and case selection based on linear regression models (class lm).

The package is available on CRAN. The version on CRAN Github is 0.2.0. The package can be installed from CRAN with the following command.

install.packages("MMRcaseselection")

The package can be installed from Github with the following command.

pak::pak("ingorohlfing/MMRcaseselection")

The documentation of the package and examples can be found here. Please open an issue on Github if problems come up.

Work on the package was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement number 638425, Enhanced Qualitative and Multimethod Research).