Package: conf
Type: Package
Title: Visualization and Analysis of Statistical Measures of Confidence
Version: 1.3.3
Authors@R: c(person("Christopher", "Weld", role = c("aut", "cre"), email = "ceweld@email.wm.edu", comment = c(ORCID = "0000-0001-5902-9738")), 
  person("Hayeon", "Park", role = "aut"),
  person("Lawrence", "Leemis", role = "aut"),
  person("Andrew", "Loh", role = "ctb"),
  person("Yuan", "Chang", role = "ctb"),
  person("Brock", "Crook", role = "ctb"),
  person("Xin", "Zhang", role = "ctb"))
Maintainer: Christopher Weld <ceweld@email.wm.edu>
Imports: graphics, stats, statmod, STAR, SDMTools
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().
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: 2018-09-14 19:48:08 UTC; christopherweld
Author: Christopher Weld [aut, cre] (<https://orcid.org/0000-0001-5902-9738>),
  Hayeon Park [aut],
  Lawrence Leemis [aut],
  Andrew Loh [ctb],
  Yuan Chang [ctb],
  Brock Crook [ctb],
  Xin Zhang [ctb]
Repository: CRAN
Date/Publication: 2018-09-14 22:10:03 UTC
