Package: float
Type: Package
Title: 32-Bit Floats
Version: 0.2-2
Description: R comes with a suite of utilities for linear algebra with "numeric"
    (double precision) vectors/matrices. However, sometimes single precision (or
    less!) is more than enough for a particular task.  This package extends R's
    linear algebra facilities to include 32-bit float (single precision) data.
    Float vectors/matrices have half the precision of their "numeric"-type
    counterparts but are generally faster to numerically operate on, for a
    performance vs accuracy trade-off.  The internal representation is an S4
    class, which allows us to keep the syntax identical to that of base R's.
    Interaction between floats and base types for binary operators is generally
    possible; in these cases, type promotion always defaults to the higher
    precision.  The package ships with copies of the single precision 'BLAS' and
    'LAPACK', which are automatically built in the event they are not available
    on the system.
License: BSD 2-clause License + file LICENSE
Copyright: The copyright for the single precision BLAS/LAPACK
        distribution located in src/lapack is given in the file
        src/lapack/LICENSE.
Depends: R (>= 3.1.0), methods
Imports: utils, tools
LazyData: true
ByteCompile: yes
URL: https://github.com/wrathematics/float
BugReports: https://github.com/wrathematics/float/issues
Authors@R: c(
    person("Drew", "Schmidt", role=c("aut", "cre", "cph"), email="wrathematics@gmail.com"),
    person("Wei-Chen", "Chen", role="aut"),
    person("Dmitriy", "Selivanov", role="ctb", comment="improvements in external package linking"),
    person("ORNL", role="cph")
    )
Maintainer: Drew Schmidt <wrathematics@gmail.com>
RoxygenNote: 6.1.0
NeedsCompilation: yes
Packaged: 2019-02-26 01:02:47 UTC; mschmid3
Author: Drew Schmidt [aut, cre, cph],
  Wei-Chen Chen [aut],
  Dmitriy Selivanov [ctb] (improvements in external package linking),
  ORNL [cph]
Repository: CRAN
Date/Publication: 2019-02-26 12:50:03 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-02-27 18:06:30 UTC; windows
Archs: i386, x64
