Package: cnaOpt 0.5.3
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_0.5.3.tar.gz
cnaOpt_0.5.3.zip(r-4.7)cnaOpt_0.5.3.zip(r-4.6)cnaOpt_0.5.3.zip(r-4.5)
cnaOpt_0.5.3.tgz(r-4.6-x86_64)cnaOpt_0.5.3.tgz(r-4.6-arm64)cnaOpt_0.5.3.tgz(r-4.5-x86_64)cnaOpt_0.5.3.tgz(r-4.5-arm64)
cnaOpt_0.5.3.tar.gz(r-4.7-arm64)cnaOpt_0.5.3.tar.gz(r-4.7-x86_64)cnaOpt_0.5.3.tar.gz(r-4.6-arm64)cnaOpt_0.5.3.tar.gz(r-4.6-x86_64)
cnaOpt_0.5.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:348c179535. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 174 | ||
| linux-devel-x86_64 | OK | 178 | ||
| source / vignettes | OK | 196 | ||
| linux-release-arm64 | OK | 170 | ||
| linux-release-x86_64 | OK | 170 | ||
| macos-release-arm64 | OK | 184 | ||
| macos-release-x86_64 | OK | 370 | ||
| macos-oldrel-arm64 | OK | 169 | ||
| macos-oldrel-x86_64 | OK | 441 | ||
| windows-devel | OK | 135 | ||
| windows-release | OK | 195 | ||
| windows-oldrel | OK | 129 | ||
| wasm-release | OK | 129 |
Exports:cnaOptconCovOptDNFbuildereducefindOutcomesmultipleMaxreprodAssignselectMax
Dependencies:abindbackportsbootbroomcarcarDataclicnacolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmatrixStatsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
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 | conCovOpt_utils 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 |
