Package: factorEx 1.1.0

factorEx: Design and Analysis for Factorial Experiments

Provides design-based and model-based estimators for the population average marginal component effects in general factorial experiments, including conjoint analysis. The package also implements a series of recommendations offered in de la Cuesta, Egami, and Imai (2022) <doi:10.1017/pan.2020.40>, and Egami and Imai (2019) <doi:10.1080/01621459.2018.1476246>.

Authors:Naoki Egami [aut, cre], Brandon de la Cuesta [aut], Kosuke Imai [aut]

factorEx_1.1.0.tar.gz
factorEx_1.1.0.zip(r-4.7-any)factorEx_1.1.0.zip(r-4.6-any)factorEx_1.1.0.zip(r-4.5-any)
factorEx_1.1.0.tgz(r-4.6-any)factorEx_1.1.0.tgz(r-4.5-any)
factorEx_1.1.0.tar.gz(r-4.7-any)factorEx_1.1.0.tar.gz(r-4.6-any)
factorEx_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
factorEx/json (API)

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

Bug tracker:https://github.com/naoki-egami/factorex/issues

Datasets:

On CRAN:

Conda:

3.60 score 8 stars 8 scripts 308 downloads 7 exports 70 dependencies

Last updated from:a5d4d56405. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK177
source / vignettesOK227
linux-releaseOK150
macos-releaseOK126
macos-oldrelOK139
windows-develOK83
windows-releaseOK109
windows-oldrelOK114
wasm-releaseOK98

Exports:decompose_pAMCEdesign_pAMCEdiagnose_pAMCEmodel_pAMCEplot_decomposeplot_diagnoseweights_pAMCE

Dependencies:abindarmbootclicodacodetoolscpp11data.tablediagramdigestdoParallelestimatrfarverforeachFormulafuturefuture.applygenericsgenlassoggplot2globalsgluegtableigraphisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlme4magrittrMASSMatrixminqamvtnormnlmenloptrnumDerivparallellypbapplypbmcapplypillarpkgconfigprodlimprogressrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7sandwichscalesshapeSQUAREMstringistringrsurvivaltibbleutf8vctrsviridisLitewithrzoo