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().

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Package
conf
Type
Package
Title
Visualization and Analysis of Statistical Measures of Confidence
Version
1.2
Maintainer
Christopher Weld
Imports
graphics, stats, statmod, STAR, SDMTools
Description
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) . (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().
Depends
R (>= 3.2.0)
License
GPL (<= 2)
Encoding
UTF-8
LazyData
true
RoxygenNote
6.0.1
Suggests
knitr, rmarkdown
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-05-14 19:58:38 UTC; christopherweld
Author
Christopher Weld [aut, cre] (), Hayeon Park [aut], Lawrence Leemis [aut], Andrew Loh [ctb], Yuan Chang [ctb], Brock Crook [ctb], Xin Zhang [ctb]
Repository
CRAN
Date/Publication
2018-05-14 22:19:02 UTC

install.packages('conf')

1.2

5 days ago

Christopher Weld

GPL (<= 2)

Depends on

R (>= 3.2.0)

Imports

graphics, stats, statmod, STAR, SDMTools

Suggests

knitr, rmarkdown

Discussions