d.educate

This artifical dataset of macrosociological factors on high levels of education is from Baumgartner (2009).

datasets

Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2018) <doi:10.1017/psrm.2018.45>. CNA is related to Qualitative Comparative Analysis (QCA), but contrary to the latter, it is custom-built for uncovering causal structures with multiple outcomes and it builds causal models from the bottom up by gradually combining single factors to complex dependency structures until the requested thresholds of model fit are met. The new functionalities provided by this package version include functions for evaluating and benchmarking the correctness of CNA's output, a function determining whether a solution is an INUS model, a function bringing non-INUS expressions into INUS form, and a function for identifying cyclic models. The package vignette has been updated accordingly.

Mathias Ambuehl

Causal Modeling with Coincidence Analysis

Michael Baumgartner

Ruedi Epple

Veli-Pekka Parkkinen

Alrik Thiem

d.educate function

The data frame contains 8 rows (cases) and the following 5 columns featuring Boolean factors taking values 1 and 0 only:<table><tr><td>
[ , 1] </td>
<td> U </td>
<td> existence of strong unions </td>
</tr><tr><td>
[ , 2] </td>
<td> D </td>
<td> high level of disparity </td>
</tr><tr><td>
[ , 3] </td>
<td> L </td>
<td> existence of strong left parties</td>
</tr><tr><td>
[ , 4] </td>
<td> G </td>
<td> high gross national product </td>
</tr></table>

Format

Artifical data on education levels and left-party strength — d.educate

Artifical data on education levels and left-party strength

d.educate: Artifical data on education levels and left-party strength

Description

Usage

Arguments

Format

[ , 1]	U	existence of strong unions
[ , 2]	D	high level of disparity
[ , 3]	L	existence of strong left parties
[ , 4]	G	high gross national product