R package lightning round! The plan is for everyone to give a quick (~5-minute) introduction to an R package they are excited about, including:

Please use the sign-up sheet below to list the package you plan to talk about (you'll need to sign in to Confluence and click the Edit button to edit the table – email asiefert@cornell.edu to request permission to edit this space).

NamePackageInfo
Andrewperformance

Evaluate model fit and assumptions https://easystats.github.io/performance/index.html

TylerwaldoDetect and describe differences between R objects and data sets with a single function: https://waldo.r-lib.org
MattpatchworkCombine multiple graph objects into a single image easily
Ryandplyrgrammar of data manipulation
https://cran.r-project.org/web/packages/dplyr/vignettes/dplyr.html
https://rstudio.github.io/cheatsheets/html/data-transformation.html
Erikaspatstatspatial point pattern analysis https://spatstat.org/