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:
cnaOpt_0.5.2.tar.gz
cnaOpt_0.5.2.zip(r-4.5)cnaOpt_0.5.2.zip(r-4.4)cnaOpt_0.5.2.zip(r-4.3)
cnaOpt_0.5.2.tgz(r-4.4-x86_64)cnaOpt_0.5.2.tgz(r-4.4-arm64)cnaOpt_0.5.2.tgz(r-4.3-x86_64)cnaOpt_0.5.2.tgz(r-4.3-arm64)
cnaOpt_0.5.2.tar.gz(r-4.5-noble)cnaOpt_0.5.2.tar.gz(r-4.4-noble)
cnaOpt_0.5.2.tgz(r-4.4-emscripten)cnaOpt_0.5.2.tgz(r-4.3-emscripten)
cnaOpt.pdf |cnaOpt.html✨
cnaOpt/json (API)
NEWS
| # Install 'cnaOpt' in R: |
| install.packages('cnaOpt', repos = c('https://mathiasambuehl.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:c6e0b90471. Checks:OK: 7 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win-x86_64 | NOTE | Oct 31 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 31 2024 |
| R-4.4-win-x86_64 | OK | Oct 31 2024 |
| R-4.4-mac-x86_64 | OK | Oct 31 2024 |
| R-4.4-mac-aarch64 | OK | Oct 31 2024 |
| R-4.3-win-x86_64 | OK | Oct 31 2024 |
| R-4.3-mac-x86_64 | OK | Oct 31 2024 |
| R-4.3-mac-aarch64 | OK | Oct 31 2024 |
Exports:cnaOptconCovOptDNFbuildereducefindOutcomesmultipleMaxreprodAssignselectMax
Dependencies:abindbackportsbootbroomcarcarDataclicnacolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmatrixStatsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Find atomic solution formulas with optimal consistency and coverage | cnaOpt |
| Find consistency and coverage optima for configurational data | conCovOpt plot.conCovOpt print.conCovOpt |
| Build disjunctive normal forms realizing con-cov optima | DNFbuild reprodAssign |
| Find all minimal disjunctive normal forms (DNF) of an input DNF | ereduce |
| Identify the factors that can possibly be modeled as outcomes prior to running CNA | findOutcomes |
| Select the con-cov optima from a ''conCovOpt'' object that maximize a specified optimality criterion | multipleMax selectMax |
