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)ParallelTrendsPlot_0.1.0.zip(r-4.6)ParallelTrendsPlot_0.1.0.zip(r-4.5)
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✨
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-devel-x86_64WARNING118
source / vignettesOK172
linux-release-x86_64WARNING120
macos-release-arm64WARNING77
macos-oldrel-arm64WARNING79
windows-develWARNING70
windows-releaseWARNING78
windows-oldrelWARNING72
wasm-releaseOK98

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

Dependencies:clicpp11dplyrfarvergenericsggplot2glueglueformulagtableisobandlabelinglifecyclemagrittrpillarpkgconfigR6RColorBrewerrestorepointrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr