Imports: FKF.SP, LSMRealOptions, MASS, numDeriv, parallel, rgenoud,
Packaged: 2021-02-25 05:40:00 UTC; Thomas Aspinall

Packaged: 2021-05-02 07:15:38 UTC; Thomas Aspinall

Packaged: 2021-05-05 23:59:19 UTC; Thomas Aspinall

Packaged: 2021-06-24 12:13:05 UTC; Thomas Aspinall

Packaged: 2021-08-07 08:20:08 UTC; Thomas Aspinall

Packaged: 2022-02-17 11:33:30 UTC; Thomas Aspinall

Title: Simulating Plays and Drives in the NFL
person("Ryan", "Elmore", email = "Ryan.Elmore@du.edu", role = c("cre", "aut"), comment = c(ORCID = "0000-0002-0092-4532")),
person("Ben", "Williams", email = "Benjamin.Williams@du.edu", role = "aut", comment = c(ORCID = "0000-0001-8474-5066")),
person("Will", "Palmquist", email = "Will.Palmquist@du.edu", role = "aut", comment = c(ORCID = "0000-0002-6100-0923")))
Description: 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/>.
Author: Ryan Elmore [cre, aut] (<https://orcid.org/0000-0002-0092-4532>),

Title: Network Fingerprint Framework in R
Description: An implementation of the network fingerprint framework. This method
worked by making systematic comparisons to a set of well-studied "basic networks",
measuring both the functional and topological similarity.  A biological could be
characterized as a spectrum-like vector consisting of similarities to basic
networks. It shows great potential in biological network study.
Imports: igraph, stringr, magrittr, plyr, ggplot2, apcluster,
Suggests: knitr, testthat, BiocStyle, graphite, NFPdata

person("Yang", "Cao",email = "yiluheihei@gmail.com",role = c("aut","cre" )),
person("Fei", "Li", email = "pittacus@gmail.com", role = "aut")
Description: An implementation of the network fingerprint framework that introduced
in paper "Network fingerprint: a knowledge-based characterization of biomedical
networks" (Cui, 2015) <doi:10.1038/srep13286>. This method worked by making
systematic comparisons to a set of well-studied "basic networks", measuring
both the functional and topological similarity.  A biological could be