Package: cnaOpt 0.5.2

cnaOpt: Optimizing Consistency and Coverage in Configurational Causal Modeling

This is an add-on to the 'cna' package <https://CRAN.R-project.org/package=cna> comprising various functions for optimizing consistency and coverage scores of models of configurational comparative methods as Coincidence Analysis (CNA) and Qualitative Comparative Analysis (QCA). The function conCovOpt() calculates con-cov optima, selectMax() selects con-cov maxima among the con-cov optima, DNFbuild() can be used to build models actually reaching those optima, and findOutcomes() identifies those factor values in analyzed data that can be modeled as outcomes. For a theoretical introduction to these functions see Baumgartner and Ambuehl (2021) <doi:10.1177/0049124121995554>.

Authors:Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph]

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cnaOpt.pdf |cnaOpt.html
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NEWS

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8 exports 0.00 score 61 dependencies 4 scripts 310 downloads

Last updated 2 years agofrom:c6e0b90471. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-win-x86_64NOTESep 01 2024
R-4.5-linux-x86_64NOTESep 01 2024
R-4.4-win-x86_64OKSep 01 2024
R-4.4-mac-x86_64OKSep 01 2024
R-4.4-mac-aarch64OKSep 01 2024
R-4.3-win-x86_64OKSep 01 2024
R-4.3-mac-x86_64OKSep 01 2024
R-4.3-mac-aarch64OKSep 01 2024

Exports:cnaOptconCovOptDNFbuildereducefindOutcomesmultipleMaxreprodAssignselectMax

Dependencies:abindbackportsbootbroomcarcarDataclicnacolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmatrixStatsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr