Package: ParallelTrendsPlot 0.1.0

ParallelTrendsPlot: Experimental Package: Plots to diagnose parallel trends in DID regression with additional control variables.

Experimental Package: Plots to diagnose parallel trends in DID regression with additional control variables.

Authors:Sebastian Kranz

ParallelTrendsPlot_0.1.0.tar.gz
ParallelTrendsPlot_0.1.0.zip(r-4.7-any)ParallelTrendsPlot_0.1.0.zip(r-4.6-any)ParallelTrendsPlot_0.1.0.zip(r-4.5-any)
ParallelTrendsPlot_0.1.0.tgz(r-4.6-any)ParallelTrendsPlot_0.1.0.tgz(r-4.5-any)
ParallelTrendsPlot_0.1.0.tar.gz(r-4.7-any)ParallelTrendsPlot_0.1.0.tar.gz(r-4.6-any)
ParallelTrendsPlot_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ParallelTrendsPlot/json (API)

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

Bug tracker:https://github.com/skranz/paralleltrendsplot/issues

On CRAN:

Conda:

2.48 score 6 stars 3 scripts 5 exports 27 dependencies

Last updated from:9d247316b9 (on main). Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING95
source / vignettesOK134
linux-releaseWARNING144
macos-releaseWARNING92
macos-oldrelWARNING95
windows-develWARNING72
windows-releaseWARNING68
windows-oldrelWARNING71
wasm-releaseOK84

Exports:constantify.colsparallel.trends.dataparallel.trends.plotparallel.trends.plot.exampleset.matrix.to.col.means

Dependencies:clicpp11dplyrfarvergenericsggplot2glueglueformulagtableisobandlabelinglifecyclemagrittrpillarpkgconfigR6RColorBrewerrestorepointrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr