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3050130510 of 36229 results
62422.
GNU R package for 'hash digest' of R data structures
Summary
(no translation yet)
Located in Package: r-cran-digest
62423.
This package provides a function 'digest()' for the creation of hash digests of arbitrary R objects (using the md5, sha-1, sha-256 and crc32 algorithms) permitting easy comparison of R language objects, as well as a function 'hmac()' to create hash-based message authentication code.
Description
(no translation yet)
Located in Package: r-cran-digest
62424.
The md5 algorithm by Ron Rivest is specified in RFC 1321, the SHA-1 and SHA-256 algorithms are specified in FIPS-180-1 and FIPS-180-2, and the crc32 algorithm is described in ftp://ftp.rocksoft.com/cliens/rocksoft/papers/crc_v3.txt. For md5, sha-1 and sha-256, this package uses a small standalone implementations that were provided by Christophe Devine. For crc32, code from the zlib library is used.
Description
(no translation yet)
Located in Package: r-cran-digest
62425.
Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as OpenSSL should be used.
Description
(no translation yet)
Located in Package: r-cran-digest
62426.
GNU R parallel excution backend for %dopar% using multicore
Summary
(no translation yet)
Located in Package: r-cran-domc
62427.
This package provides a parallel backend for the %dopar% function using Simon Urbanek's multicore package.
Description
(no translation yet)
Located in Package: r-cran-domc
62428.
GNU R parallel excution backend for %dopar% using snow
Summary
(no translation yet)
Located in Package: r-cran-dosnow
62429.
This package provides a parallel backend for the %dopar% function using Luke Tierney's snow package (which itself can wrap MPI, PVM, NWS or sockets).
Description
(no translation yet)
Located in Package: r-cran-dosnow
62430.
GNU R routines for Bayesian ecological inference
Summary
(no translation yet)
Located in Package: r-cran-eco
62431.
This is a set of routines for GNU R that implement Imai and Lu's parametric and nonparametric Bayesian ecological inference algorithms using Markov chain Monte Carlo estimation. Ecological inference is a statistical technique designed to recover individual-level information from aggregate-level data.
Description
(no translation yet)
Located in Package: r-cran-eco
3050130510 of 36229 results

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