S original by Jim Ramsey <ramsay@psych.mcgill.ca>.  R port by
Brian Ripley <ripley@stats.ox.ac.uk>.

Estimation of Non-Linear Outcomes of Infectious Disease
Outbreaks using Generalized Additive Modeling with Penalized
Basis Splines
person("Ben", "Artin", email = "ben@artins.org", role = c("aut", "cre", "cph"))
Stochastic inference of non-linear outcomes of infectious disease outbreaks using generalized additive (mixed) models.
stats, utils, mgcv, dplyr, magrittr, assertthat, plyr,
reshape2, plotrix, rlang
import, ggplot2, data.table, ggstance, knitr, rmarkdown,
roxygen2, kableExtra, doParallel, parallel, stringr, scales,
testthat

Estimation of Characteristics of Seasonal and Sporadic
Infectious Disease Outbreaks Using Generalized Additive
Modeling with Penalized Basis Splines
Stochastic inference of infectious disease outcomes using generalized additive (mixed) models.

Inference of infectious disease outcomes using generalized additive
(mixed) models with penalized basis splines (P-Splines). See
<https://medrxiv.org/cgi/content/short/2020.07.14.20138180v1>.

c(person("Benjamin", "Christoffersen",
email = "boennecd@gmail.com",
role = c("cre", "aut")))
Provides quasi-Newton methods to minimize partially separable
functions. The methods are largely described by
Nocedal and Wright (2006) <doi:10.1007/978-0-387-40065-5>.
knitr, R.rsp, rmarkdown, RcppArmadillo, bench, testthat,
numDeriv, lbfgsb3c, lbfgs, Matrix

R.rsp, rmarkdown, RcppArmadillo, bench, testthat, numDeriv,
lbfgsb3c, lbfgs, Matrix

c(person("Benjamin", "Christoffersen",
email = "boennecd@gmail.com",
role = c("cre", "aut"),
comment = c(ORCID = "0000-0002-7182-1346")))
R.rsp, rmarkdown, RcppArmadillo, RcppEigen, bench, testthat,
numDeriv, lbfgsb3c, lbfgs, Matrix
Benjamin Christoffersen [cre, aut]
(<https://orcid.org/0000-0002-7182-1346>)

R.rsp, rmarkdown, RcppArmadillo, RcppEigen, bench, testthat,
numDeriv, lbfgsb3c, lbfgs, alabama

Functions for Analyzing Performance Science Data
c(
person("Thomas", "McGinn", email = "tmcginn1@nd.edu", role = c("aut", "cre")),
person("Alan", "Huebner", email = "Alan.Huebner.10@nd.edu", role = "ctb"),
person("Matthew", "Sisk", email = "Matthew.Sisk@nd.edu", role = "ctb"))
Contains functions to compute statistics relevant to performance scientists, coaches, and athletes. The functions within the package that report group-wide statistics have to do with measurement instrument reliability and individual change of athletes. Many of them come from the work of Hopkins (2000) <doi:10.2165/00007256-200030010-00001>. There are also functions that apply a particular statistical concept to each measurement in the data.
knitr, rmarkdown, testthat, MASS, boot, Matrix, lme4
Thomas McGinn [aut, cre],
Alan Huebner [ctb],
Matthew Sisk [ctb]