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.
|Depends:||R (≥ 3.6.0), methods|
|Author:||Drew Schmidt [aut, cre, cph], Wei-Chen Chen [aut], Dmitriy Selivanov [ctb] (improvements in external package linking), ORNL [cph]|
|Maintainer:||Drew Schmidt <wrathematics at gmail.com>|
|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.|
|Citation:||float citation info|
|CRAN checks:||float results|
Introducing the float package: 32-Bit Floats for R
|Windows binaries:||r-devel: float_0.3-1.zip, r-release: float_0.3-1.zip, r-oldrel: float_0.3-1.zip|
|macOS binaries:||r-release (arm64): float_0.3-1.tgz, r-oldrel (arm64): float_0.3-1.tgz, r-release (x86_64): float_0.3-1.tgz, r-oldrel (x86_64): float_0.3-1.tgz|
|Old sources:||float archive|
|Reverse imports:||GPoM, MatrixExtra, pbdMPI, recometrics, recosystem, rsparse|
|Reverse linking to:||recometrics|
|Reverse suggests:||GPUmatrix, xgboost|
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