Package: PAsso 0.1.11

PAsso: Assessing the Partial Association Between Ordinal Variables

An implementation of the unified framework for assessing partial association between ordinal variables after adjusting for a set of covariates (Dungang Liu, Shaobo Li, Yan Yu and Irini Moustaki (2020) <doi:10.1080/01621459.2020.1796394> Journal of the American Statistical Association). This package provides a set of tools to quantify, visualize, and test partial associations between multiple ordinal variables. It can produce a number of $phi$ measures, partial regression plots, 3-D plots, and p-values for testing H_0: phi=0 or H_0: phi <= delta.

Authors:Xiaorui Zhu [aut, cre, cph], Shaobo Li [aut], Dungang Liu [ctb, aut], Yuejie Chen [ctb]

PAsso_0.1.11.tar.gz
PAsso_0.1.11.zip(r-4.5)PAsso_0.1.11.zip(r-4.4)PAsso_0.1.11.zip(r-4.3)
PAsso_0.1.11.tgz(r-4.4-x86_64)PAsso_0.1.11.tgz(r-4.4-arm64)PAsso_0.1.11.tgz(r-4.3-x86_64)PAsso_0.1.11.tgz(r-4.3-arm64)
PAsso_0.1.11.tar.gz(r-4.5-noble)PAsso_0.1.11.tar.gz(r-4.4-noble)
PAsso_0.1.11.tgz(r-4.4-emscripten)PAsso_0.1.11.tgz(r-4.3-emscripten)
PAsso.pdf |PAsso.html✨
PAsso/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/xiaoruizhu/passo/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • ANES2016 - The 2016 ANES Time Series Study with pre-election interview

On CRAN:

association-analysisordinal-variablespartial-associationstatistics

8 exports 7 stars 1.53 score 111 dependencies 1 dependents 13 scripts 246 downloads

Last updated 7 months agofrom:8a314aa79f. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-win-x86_64NOTESep 05 2024
R-4.5-linux-x86_64NOTESep 05 2024
R-4.4-win-x86_64NOTESep 05 2024
R-4.4-mac-x86_64NOTESep 05 2024
R-4.4-mac-aarch64NOTESep 05 2024
R-4.3-win-x86_64NOTESep 05 2024
R-4.3-mac-x86_64NOTESep 05 2024
R-4.3-mac-aarch64NOTESep 05 2024

Exports:diagnostic.plotPAssoplot3DresidualsresidualsAcatresidualsVGAMsurrogatetest

Dependencies:ADGofTestaskpassbackportsbase64encbitbit64broombroom.helpersbslibcachemcardsclicliprcodetoolscolorspacecopBasiccopulacpp11crayoncrosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforcatsforeachfsgenericsGGallyggplot2ggstatsgluegoftestgridExtragslgtablehavenhighrhmshtmltoolshtmlwidgetshttrisobanditeratorsjquerylibjsonliteknitrlabelinglabelledlaterlatticelazyevallifecyclelmomcoLmomentsmagrittrMASSMatrixmemoisemgcvmimemunsellmvtnormnlmenumDerivopensslpatchworkpcaPPpillarpkgconfigplotlyplyrprettyunitsprogresspromisespsplinepurrrR6randtoolboxrappdirsRColorBrewerRcppRcppArmadilloreadrrlangrmarkdownrngWELLsassscalesstablediststringistringrsystibbletidyrtidyselecttinytextzdbutf8vctrsVGAMviridisLitevroomwithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
The 2016 ANES Time Series Study with pre-election interviewANES2016
Residual-based diagnostic plotsdiagnostic.plot diagnostic.plot.clm diagnostic.plot.default diagnostic.plot.glm diagnostic.plot.lrm diagnostic.plot.orm diagnostic.plot.PAsso diagnostic.plot.polr diagnostic.plot.resid
Partial association analysis between ordinal responses after adjusting for a set of covariatesPAsso
A matrix of partial regression plots between responses after adjustmentsplot plot.PAsso
3-D P-P plot and false color level plot for the inspection of the partial association analysisplot3D plot3D.default plot3D.PAsso
Print partial association matrixprint print.PAsso print.PAsso.test
Extract Model Residualsresiduals residuals,vgam-method residuals,vglm-method residuals.clm residuals.glm residuals.lrm residuals.ord residuals.orm residuals.PAsso residuals.polr
Summary of partial association analysissummary summary.PAsso
Surrogate responsesurrogate
Hypothesis testing of the partial association coefficientstest