Modified items

All recently modified items, latest first.

R-multcomp-1.4.5-2.lbn19.noarch: This R package contains functions for simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models.

R-msm-1.3-5.lbn19.x86_64: Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.

R-memoise-0.2.1-3.lbn19.noarch: Cache the results of a function so that when you call it again with the same arguments it returns the pre-computed value.

R-magrittr-1.5-1.lbn19.noarch: Provides a mechanism for chaining commands with a new forward-pipe operator, %>%. This operator will forward a value, or the result of an expression, into the next function call/expression. There is flexible support for the type of right-hand side expressions. For more information, see package vignette. To quote Rene Magritte, "Ceci n'est pas un pipe."

R-maanova-1.34.1-4.lbn19.x86_64: Analysis of N-dye Micro Array experiment using mixed model effect Containing analysis of variance, permutation and bootstrap, cluster and consensus tree

R-mAr-1.1.2-11.lbn19.x86_64: R package: An R add-on package for estimation of multivariate AR models through a computationally-efficient stepwise least-squares algorithm (Neumaier and Schneider, 2001); the procedure is of particular interest for high-dimensional data without missing values such as geophysical fields.

R-lmtest-0.9.34-2.lbn19.x86_64: A collection of tests, data sets and examples for diagnostic checking in linear regression models in R.

R-littler-0.3.0-2.lbn19.x86_64: A scripting and command-line front-end is provided by 'r' (aka 'littler') as a lightweight binary wrapper around the GNU R language and environment for statistical computing and graphics. While R can be used in batch mode, the r binary adds full support for both 'shebang'-style scripting (i.e. using a hash-mark-exclamation-path expression as the first line in scripts) as well as command-line use in standard Unix pipelines. In other words, r provides the R language without the environment.

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.


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