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R-core-3.3.1-3.lbn19.x86_64
A language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.
Located in LBN / … / Big Data / BastionLinux 19
R-crayon-1.3.1-3.lbn19.noarch
Colored terminal output on terminals that support 'ANSI' color and highlight codes. It also works in 'Emacs' 'ESS'. 'ANSI' color support is automatically detected. Colors and highlighting can be combined and nested. New styles can also be created easily. This package was inspired by the 'chalk' 'JavaScript' project.
Located in LBN / … / Big Data / BastionLinux 19
R-digest-0.6.8-3.lbn19.x86_64
Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the md5, sha-1, sha-256, crc32, xxhash and murmurhash algorithms) permitting easy comparison of R language objects, as well as a function 'hmac()' to create hash-based message authentication code. 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, sha-256 and aes, this package uses small standalone implementations that were provided by Christophe Devine. For crc32, code from the zlib library is used. For sha-512, an implementation by Aaron D. Gifford is used. For xxHash, the implementation by Yann Collet is used. For murmurhash, an implementation by Shane Day 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.
Located in LBN / … / Big Data / BastionLinux 19
R-evaluate-0.9-1.lbn19.noarch
Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Located in LBN / … / Big Data / BastionLinux 19
R-expm-0.99.1.1-5.lbn19.x86_64
Efficient calculation of the exponential of a matrix. The package contains an R interface and a C API that package authors can use.
Located in LBN / … / Big Data / BastionLinux 19
R-fibroEset-1.6.0-3.lbn19.noarch
ExprSet for Karaman et al. (2003) human, bonobo and gorilla fibroblasts data.
Located in LBN / … / Big Data / BastionLinux 19
R-futile.logger-1.4.3-1.lbn19.noarch
Provides a simple yet powerful logging utility. Based loosely on log4j, futile.logger takes advantage of R idioms to make logging a convenient and easy to use replacement for cat and print statements.
Located in LBN / … / Big Data / BastionLinux 19
R-futile.options-1.0.0-1.lbn19.noarch
A scoped options management framework
Located in LBN / … / Big Data / BastionLinux 19
R-hgu133acdf-2.16.0-2.lbn19.noarch
Environment representing the HG-U133A.cdf file.
Located in LBN / … / Big Data / BastionLinux 19
R-hgu95av2cdf-2.16.0-2.lbn19.noarch
Environment representing the HG_U95Av2.CDF file.
Located in LBN / … / Big Data / BastionLinux 19

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