Package: braQCA 1.4.11.27

braQCA: Bootstrapped Robustness Assessment for Qualitative Comparative Analysis

Test the robustness of a user's Qualitative Comparative Analysis solutions to randomness, using the bootstrapped assessment: baQCA(). This package also includes a function that provides recommendations for improving solutions to reach typical significance levels: brQCA(). Data included come from McVeigh et al. (2014) <doi:10.1177/0003122414534065>.

Authors:C. Ben Gibson [aut], Burrel Vann Jr [aut, cre]

braQCA_1.4.11.27.tar.gz
braQCA_1.4.11.27.zip(r-4.7-any)braQCA_1.4.11.27.zip(r-4.6-any)braQCA_1.4.11.27.zip(r-4.5-any)
braQCA_1.4.11.27.tgz(r-4.6-any)braQCA_1.4.11.27.tgz(r-4.5-any)
braQCA_1.4.11.27.tar.gz(r-4.7-any)braQCA_1.4.11.27.tar.gz(r-4.6-any)
braQCA_1.4.11.27.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
braQCA/json (API)

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

Bug tracker:https://github.com/burrelvannjr/braqca/issues

Pkgdown/docs site:https://braqca.burrelvannjr.com

Datasets:
  • rallies - McVeigh et al. (2014) Tea Party Data

On CRAN:

Conda:

2.70 score 3 scripts 421 downloads 3 exports 5 dependencies

Last updated from:a135439898. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK84
source / vignettesOK127
linux-releaseOK92
macos-releaseOK104
macos-oldrelOK90
windows-develOK66
windows-releaseOK51
windows-oldrelOK53
wasm-releaseOK71

Exports:baQCAbrQCAsim.brQCA

Dependencies:admiscbootstrapdeclaredQCAvenn