Title: Primal or Dual Cone Projections with Routines for
Description: This package contains routines for cone projection and quadratic programming, as well as routines to do estimation and inference for constrained parametric regression and shape-restricted regression problems.

Title: Primal or Dual Cone Projections with Routines for Constrained
Description: Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems.

Packaged: 2017-09-17 23:48:49 UTC; xiyueliao

Packaged: 2018-03-26 18:54:59 UTC; xiyueliao

Description: Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems. See Mary C. Meyer (2013)<doi:10.1080/03610918.2012.659820> for more details.
Packaged: 2018-04-18 17:02:03 UTC; xiyueliao

Packaged: 2021-05-29 16:41:29 UTC; xiyueliao

Packaged: 2021-12-12 17:08:52 UTC; xiyueliao

Title: Plotting Two-Dimensional Confidence Regions
Authors@R: c(person("Christopher", "Weld", role = c("aut", "cre"), email = "ceweld@email.wm.edu", comment = c(ORCID = "0000-0001-5902-9738")),
person("Lawrence", "Leemis", role = "aut"))
Description: Plots the two-dimensional confidence region for probability distribution (Weibull or
inverse Gaussian) parameters 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
Packaged: 2018-03-01 18:07:32 UTC; christopherweld
Author: Christopher Weld [aut, cre] (<https://orcid.org/0000-0001-5902-9738>),

Title: Visualization and Analysis of Statistical Measures of Confidence
person("Lawrence", "Leemis", role = "aut"),
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,
lnorm, llogis, norm, 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
Packaged: 2018-04-28 14:20:44 UTC; christopherweld