Suggests: R.rsp, rmarkdown, RcppArmadillo, RcppEigen, bench, testthat,

Title: Functions for Analyzing Performance Science Data
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"))
Description: 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.
Suggests: knitr, rmarkdown, testthat, MASS, boot, Matrix, lme4

Title: Presenting Statistical Results Effectively
Authors@R: c(person("Dave", "Armstrong", role=c("aut", "cre"), email="dave@quantoid.net"),
Description: Includes functions and data used in the book "Presenting Statistical Results Effectively", Andersen and Armstrong (2022, 978-1446269800).
Imports: stats, MASS, metap, car, nortest, lawstat, normwhn.test,
DAMisc, ggplot2, boot, grid, cowplot, fANCOVA, dplyr, tidyr,
utils, magrittr, tibble, sm, multcomp, rlang, ggrepel, mgcv

Imports: stats, MASS, metap, car, nortest, lawstat, DAMisc, ggplot2,
boot, grid, cowplot, fANCOVA, dplyr, tidyr, utils, magrittr,
tibble, sm, multcomp, rlang, ggrepel, mgcv

Title: PS-Integrated Methods for Incorporating RWE in Clinical Studies
Description: High-quality real-world data can be transformed into scientific
real-world evidence (RWE) for regulatory and healthcare decision-making
using proven analytical methods and techniques. For example, propensity
score (PS) methodology can be applied to pre-select a subset of real-world
data containing patients that are similar to those in the current clinical
study in terms of covariates, and to stratify the selected patients together
with those in the current study into more homogeneous strata. Then, methods
such as power prior approach or composite likelihood approach can be applied
in each stratum to draw inference for the parameters of interest. This
package provides functions that implement the PS-integrated RWE analysis