Modified items

All recently modified items, latest first.

R-lambda.r-1.1.9-1.lbn19.noarch: A language extension to efficiently write functional programs in R. Syntax extensions include multi-part function definitions, pattern matching, guard statements, built-in (optional) type safety.

R-jsonlite-1.0-1.lbn19.x86_64: A fast JSON parser and generator optimized for statistical data and the web. Started out as a fork of 'RJSONIO', but has been completely rewritten in recent versions. The package offers flexible, robust, high performance tools for working with JSON in R and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.

R-java-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. This package also has an additional dependency on java, as provided by Fedora's openJDK.

R-inline-0.3.14-1.lbn19.noarch: Functionality to dynamically define R functions and S4 methods with inlined C, C++ or Fortran code supporting .C and .Call calling conventions.

R-highlight-0.4.7-1.lbn19.x86_64: Syntax highlighter for R code based on the results of the R parser. Rendering in HTML and latex markup. Custom Sweave driver performing syntax highlighting of R code chunks.

R-hgu95av2probe-2.16.0-2.lbn19.noarch: This package was automatically created by package matchprobes version 1.9.2. The probe sequence data was obtained from http://www.affymetrix.com. The file name was HG\_U95Av2\_probe\_tab.

R-hgu95av2cdf-2.16.0-2.lbn19.noarch: Environment representing the HG_U95Av2.CDF file.

R-hgu133acdf-2.16.0-2.lbn19.noarch: Environment representing the HG-U133A.cdf file.

R-futile.options-1.0.0-1.lbn19.noarch: A scoped options management framework

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.

R-fibroEset-1.6.0-3.lbn19.noarch: ExprSet for Karaman et al. (2003) human, bonobo and gorilla fibroblasts data.

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.

R-evaluate-0.9-1.lbn19.noarch: Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.

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.

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.

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.

R-car-2.0.19-3.lbn19.noarch: This package accompanies J. Fox, An R and S-PLUS Companion to Applied Regression, Sage, 2002. The package contains mostly functions for applied regression, linear models, and generalized linear models, with an emphasis on regression diagnostics, particularly graphical diagnostic methods. There are also some utility functions. With some exceptions, it does not duplicate capabilities in the basic distribution of R, nor in widely used packages. Where relevant, the functions in car are consistent with na.action = na.omit or na.exclude.

R-caTools-1.17.1-2.lbn19.x86_64: Contains several basic utility functions including: moving (rolling, running) window statistic functions, read/write for GIF and ENVI binary files, fast calculation of AUC, LogitBoost classifier, base64 encoder/decoder, round-off error free sum and cumsum, etc.

R-bitops-1.0.6-3.lbn19.x86_64: Functions for Bitwise operations on integer vectors.


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