conf: Visualization and Analysis of Statistical Measures of Confidence

Enables: (1) plotting two-dimensional confidence regions, and (2) calculating confidence intervals and the associated actual coverage for binomial proportions. Both are given in greater detail next. (1) Plots the two-dimensional confidence region for probability distribution parameters (supported distribution suffixes: gamma, invgauss, llogis, lnorm, norm, unif, weibull) corresponding to a user given dataset and level of significance. The crplot() algorithm plots more points in areas of greater curvature to ensure a smooth appearance throughout the confidence region boundary. An alternative heuristic plots a specified number of points at roughly uniform intervals along its boundary. Both heuristics build upon the radial profile log-likelihood ratio technique for plotting two-dimensional confidence regions given by Jaeger (2016) <doi:10.1080/00031305.2016.1182946>. (2) Calculates confidence interval bounds for a binomial proportion with binomTest(), calculates the actual coverage with binomTestCoverage(), and plots the actual coverage with binomTestCoveragePlot(). Calculates confidence interval bounds for the binomial proportion using an ensemble of constituent confidence intervals with binomTestEnsemble().

Version:	1.3
Depends:	R (≥ 3.2.0)
Imports:	graphics, stats, statmod, STAR, SDMTools
Suggests:	knitr, rmarkdown
Published:	2018-07-16
Author:	Christopher Weld [aut, cre], Hayeon Park [aut], Lawrence Leemis [aut], Andrew Loh [ctb], Yuan Chang [ctb], Brock Crook [ctb], Xin Zhang [ctb]
Maintainer:	Christopher Weld <ceweld at email.wm.edu>
License:	GPL (≤ 2)
NeedsCompilation:	no
CRAN checks:	conf results

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