Title: Exact Binary Sequential Designs and Analysis
Description: For a series of binary responses, create stopping boundary
with exact results after stopping, allowing updating for
Depends: methods, graphics, stats, clinfun

Description: For a series of binary responses, create stopping boundary with exact results after stopping, allowing updating for missing assessments.

Title: Generate PDFs and CDFs from Binned Data
Author: David J. Hunter and McKalie Drown
Description: Provides several methods for generating density functions
based on binned data. Data are assumed to be nonnegative, but the bin widths
need not be uniform, and the top bin may be unbounded. All PDF smoothing methods
maintain the areas specified by the binned data. (Equivalently, all CDF
smoothing methods interpolate the points specified by the binned data.) An
estimate for the mean of the distribution may be supplied as an optional
argument, which greatly improves the reliability of statistics computed from
the smoothed density functions. Methods include step function, recursive

Package: binsmooth
Type: Package
Title: Generate PDFs and CDFs from Binned Data
Version: 0.2.0
Author: David J. Hunter and McKalie Drown
Maintainer: Dave Hunter <dhunter@westmont.edu>
Description: Provides several methods for generating density functions
based on binned data. Methods include step function, recursive
subdivision, and optimized spline. Data are assumed to be nonnegative,
but the bin widths need not be equal, and the top bin need not have an
upper bound. All PDF smoothing methods maintain the areas specified by
the binned data. (Equivalently, all CDF smoothing methods interpolate
the points specified by the binned data.) An estimate for the mean of
the distribution may be supplied as an optional argument, which greatly
improves the reliability of statistics computed from the smoothed density
functions. Includes methods for estimating the Gini coefficient, the
Theil index, percentiles, and random deviates from a smoothed
distribution. Among the three methods, the optimized spline (splinebins)
is recommended for most purposes. The percentile and random-draw
functions only support splinebins.
License: MIT + file LICENSE
Imports: stats, pracma, ineq, triangle
LazyData: TRUE
NeedsCompilation: no
Packaged: 2019-05-31 16:25:17 UTC; dhunter
Repository: CRAN
Date/Publication: 2019-05-31 22:11:49 UTC