Imports: bigmemory.sri, methods, utils, Rcpp, uuid (>= 1.0-2)
Author: Michael J. Kane [aut, cre] (<https://orcid.org/0000-0003-1899-6662>),

Title: A shared resource interface for Bigmemory Project packages
Contact: Michael J. Kane <bigmemoryauthors@gmail.com>
Description: This package provides a shared resource interface for the

Description: This package provides a shared resource interface for the bigmemory and synchronicity packages.

Title: A Shared Resource Interface for Bigmemory Project Packages
Description: A shared resource interface for the bigmemory and synchronicity packages.

Authors@R: c(person("Justin", "Donaldson", role=c("aut","cre"), email =
Description: The bigml package contains bindings for the BigML API.
The package includes methods that provide straightforward
access to basic API functionality, as well as methods that
accommodate idiomatic R datatypes and concepts.
Packaged: 2012-05-09 19:09:29 UTC; justindonaldson

Authors@R: c(person("Leon", "Hwang", role=c("cre", "aut"), email="hwang@bigml.com"))
Description: The 'bigml' package contains bindings for the BigML API.
The package includes methods that provide straightforward access
to basic API functionality, as well as methods that accommodate

Title: Arbitrary-Precision Integer and Floating-Point Mathematics
Description: Classes for storing and manipulating arbitrary-precision
integer vectors and high-precision floating-point vectors. These
extend the range and precision of the 'integer' and 'double' data
types found in R. This package utilizes the 'Boost.Multiprecision' C++
library. It is specifically designed to work well with the 'tidyverse'
Author: David Hall [aut, cre, cph] (<https://orcid.org/0000-0002-2193-0480>)

Imports: ellipsis, rlang, vctrs (>= 0.3.0)
Suggests: knitr, pillar (>= 1.6.0), rmarkdown, testthat

Suggests: knitr, pillar (>= 1.6.3), rmarkdown, testthat

Description: Utility functions for easy parallelism in R. Include some reexports
from other packages, utility functions for splitting and parallelizing over
blocks, and choosing and setting the number of cores used.
Imports: bigassertr (>= 0.1.1), doParallel, flock, parallel,