Package: quantification 0.2.0

quantification: Quantification of Qualitative Survey Data

Provides different functions for quantifying qualitative survey data. It supports the Carlson-Parkin method, the regression approach, the balance approach and the conditional expectations method.

Authors:Joachim Zuckarelli <[email protected]>

quantification_0.2.0.tar.gz
quantification_0.2.0.zip(r-4.7)quantification_0.2.0.zip(r-4.6)quantification_0.2.0.zip(r-4.5)
quantification_0.2.0.tgz(r-4.6-any)quantification_0.2.0.tgz(r-4.5-any)
quantification_0.2.0.tar.gz(r-4.7-any)quantification_0.2.0.tar.gz(r-4.6-any)
quantification_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
quantification/json (API)

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

Bug tracker:https://github.com/jsugarelli/quantification/issues

On CRAN:

Conda:

carlson-parkinquantificationsurveysurvey-analysissurvey-data

3.90 score 4 stars 4 scripts 210 downloads 4 mentions 4 exports 69 dependencies

Last updated from:2cdf8ba912. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK126
source / vignettesOK209
linux-release-x86_64OK124
macos-release-arm64OK88
macos-oldrel-arm64OK109
windows-develOK151
windows-releaseOK86
windows-oldrelOK76
wasm-releaseOK109

Exports:balcecpra

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo