Simulating Plays and Drives in the NFL R package NFLSimulatoR version 0.4.0 CRAN Task View: SportsAnalytics (https://CRAN.R-project.org/view=SportsAnalytics) The intent here is to enable the simulation of plays/drives and evaluate game-play strategies in the National Football League (NFL). Built-in strategies include going for it on fourth down and varying the proportion of passing/rushing plays during a drive. The user should be familiar with nflscrapR data before trying to write his/her own strategies. This work is inspired by a blog post by Mike Lopez, currently the Director of Data and Analytics at the NFL, Lopez (2019) <https://statsbylopez.netlify.app/post/resampling-nfl-drives/>. Software Depends: R (>= 3.5.0) Imports: data.table, progress, nflfastR Suggests: knitr, rmarkdown Ryan Elmore <Ryan.Elmore@du.edu> Comprehensive R Archive Network (CRAN) Ryan Elmore [cre, aut] (ORCID: <https://orcid.org/0000-0002-0092-4532>), Ben Williams [aut] (ORCID: <https://orcid.org/0000-0001-8474-5066>), Will Palmquist [aut] (ORCID: <https://orcid.org/0000-0002-6100-0923>) MIT + file LICENSE (https://CRAN.R-project.org/package=NFLSimulatoR/LICENSE) 2022-08-19 application/tgz https://CRAN.R-project.org/package=NFLSimulatoR doi:10.32614/CRAN.package.NFLSimulatoR