Title: Likelihood Ratio Test-Based Approaches to Pharmacovigilance
person("Saptarshi", "Chakraborty", email = "chakra.saptarshi@gmail.com", role = c("aut", "cre")),
person("Marianthi", "Markatou", role = "aut"),
Description: A suite of likelihood ratio test based methods to use in pharmacovigilance. Contains various testing and post-processing functions.
Imports: stats, methods, utils, grDevices, magrittr (>= 2.0.0),
progress, data.table, bit64, glue, RColorBrewer, ggplot2
Author: Saptarshi Chakraborty [aut, cre],

Imports: stats, methods, utils, magrittr (>= 2.0.0), progress,
data.table, bit64, glue, RColorBrewer, ggplot2, ggfittext

Title: Creates and Plots P-Value Functions, S-Value Functions,
Confidence Distributions and Confidence Densities
Authors@R: person("Denis", "Infanger", email = "denis.infanger@unibas.ch", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9028-7110"))
Description: Contains functions to compute and plot confidence distributions, confidence densities, p-value functions and s-value (surprisal) functions for several commonly used estimates. Instead of just calculating one p-value and one confidence interval, p-value functions display p-values and confidence intervals for many levels thereby allowing to gauge the compatibility of several parameter values with the data. These methods are discussed by Poole C. (1987) <doi:10.2105/AJPH.77.2.195>; Schweder T, Hjort NL. (2002) <doi:10.1111/1467-9469.00285>; Bender R, Berg G, Zeeb H. (2005) <doi:10.1002/bimj.200410104> ; Singh K, Xie M, Strawderman WE. (2007) <doi:10.1214/074921707000000102>; Rothman KJ, Greenland S, Lash TL. (2008, ISBN:9781451190052); Amrhein V, Trafimow D, Greenland S. (2019) <doi:10.1080/00031305.2018.1543137>; and Greenland S. (2019) <doi:10.1080/00031305.2018.1529625>.
Author: Denis Infanger [aut, cre] (<https://orcid.org/0000-0001-9028-7110>)

Description: Contains functions to compute and plot confidence distributions, confidence densities, p-value functions and s-value (surprisal) functions for several commonly used estimates. Instead of just calculating one p-value and one confidence interval, p-value functions display p-values and confidence intervals for many levels thereby allowing to gauge the compatibility of several parameter values with the data. These methods are discussed by Infanger D, Schmidt-Trucksäss A. (2019) <doi:10.1002/sim.8293>; Poole C. (1987) <doi:10.2105/AJPH.77.2.195>; Schweder T, Hjort NL. (2002) <doi:10.1111/1467-9469.00285>; Bender R, Berg G, Zeeb H. (2005) <doi:10.1002/bimj.200410104> ; Singh K, Xie M, Strawderman WE. (2007) <doi:10.1214/074921707000000102>; Rothman KJ, Greenland S, Lash TL. (2008, ISBN:9781451190052); Amrhein V, Trafimow D, Greenland S. (2019) <doi:10.1080/00031305.2018.1543137>; and Greenland S. (2019) <doi:10.1080/00031305.2018.1529625>.