pvaluefunctions: Creates and Plots P-Value Functions, S-Value Functions, Confidence Distributions and Confidence Densities

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>.

Version:	1.6.0
Depends:	R (≥ 3.5.0)
Imports:	ggplot2 (≥ 3.3.0), scales (≥ 1.1.0), zipfR (≥ 0.6-66), pracma (≥ 2.2.9), stats
Suggests:	knitr, rmarkdown, devtools
Published:	2020-06-24
Author:	Denis Infanger [aut, cre]
Maintainer:	Denis Infanger <denis.infanger at unibas.ch>
License:	GPL-3
URL:	https://github.com/DInfanger/pvaluefunctions
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	pvaluefunctions results

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