Imports: graphics, stats, statmod, STAR, SDMTools
llogis, lnorm, norm, unif, weibull) corresponding to a user given dataset and level of
Packaged: 2018-05-14 19:58:38 UTC; christopherweld

Packaged: 2018-07-23 01:54:05 UTC; christopherweld

Packaged: 2018-09-10 17:20:45 UTC; christopherweld

Description: Enables: (1) plotting two-dimensional confidence regions, (2) coverage analysis
of confidence region simulations and (3) calculating confidence intervals and the associated
actual coverage for binomial proportions.  Each is 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) Performs confidence region coverage simulations
for a random sample drawn from a user-specified parametric population distribution, or for a
user-specified dataset and point of interest with coversim().  (3) 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().
Packaged: 2018-09-14 19:48:08 UTC; christopherweld

Packaged: 2018-07-16 05:05:36 UTC; christopherweld

Imports: graphics, stats, statmod, STAR, SDMTools, fitdistrplus
(supported distribution suffixes: cauchy, gamma, invgauss, logis, llogis, lnorm, norm, unif,
weibull) corresponding to a user-given complete or right-censored dataset and level of
significance.  The crplot() algorithm plots more points in areas of greater curvature to
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
(2) Performs confidence region coverage simulations for a random sample drawn from a user-
specified parametric population distribution, or for a user-specified dataset and point of
(3) 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().
Packaged: 2018-11-01 19:53:13 UTC; christopherweld