R-digest-0.6.15.tgz


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Description

R-digest - Create cryptographic hash digests of R objects

Property Value
Distribution NetBSD 8.0
Repository NetBSD i386
Package filename R-digest-0.6.15.tgz
Package name R-digest
Package version 0.6.15
Package release -
Package architecture i386
Package type tgz
Category math security
Homepage http://dirk.eddelbuettel.com/code/digest.html
License gnu-gpl-v2
Maintainer -
Download size 116.61 KB
Installed size 217.00 KB
digest provides hash function summaries for GNU R objects. The md5,
sha-1, sha-256 and crc32 hash functions are available. The md5
algorithm by Ron Rivest is specified in RFC 1321, the SHA-1 and
SHA-256 algorithm is specified in FIPS-180-1 and FIPS-180-2,
respectively, and the crc32 algorithm is described in here. For md5,
sha-1 and sha-256, this packages uses small standalone C
implementations that were provided by by Christophe Devine. For crc32,
code from the zlib library is used. For sha-512, a routine by Aaron
Gifford is used. 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.

Alternatives

Package Version Architecture Repository
R-digest-0.6.15.tgz 0.6.15 amd64 NetBSD
R-digest - - -

Requires

Name Value
R >= 2.4.1

Download

Type URL
Mirror ftp.netbsd.org
Binary Package R-digest-0.6.15.tgz
Source Package R-digest

Install Howto

Install R-digest tgz package:

# pkg_add R-digest

Files

Path
/usr/pkg/lib/R/library/digest/libs/digest.so

See Also

Package Description
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R-evaluate-0.10.1.tgz Parsing and evaluation tools
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R-fBasics-3042.89.tgz Markets and basic statistics
R-fOptions-3042.86.tgz Markets and basic statistics
R-fansi-0.4.0.tgz ANSI Control Sequence Aware String Functions
R-forecast-8.2.tgz Forecasting functions for time series and linear models
R-formatR-1.4.tgz Format R code automatically
R-fracdiff-1.4.2.tgz Fractionally differenced ARIMA aka ARFIMA(p,d,q) models
R-gdata-2.8.2nb6.tgz Various R programming tools for data manipulation
R-genetics-1.3.8.1nb2.tgz Classes and methods for handling genetic data
R-geoR-1.7.5.1.tgz Geostatistical analysis including likelihood-based & Bayesian methods
R-geoRglm-0.9.8.tgz Generalised linear spatial models in R
R-ggplot2-2.2.1.tgz Elegant data visualization using the Grammar of Graphcis
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