k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-rgenoud (5.8-3.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rgenoud
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.29)
Description:  R Version of GENetic Optimization Using Derivatives This GNU R package provides a genetic algorithm plus derivative optimizer.
Package: r-cran-rgl (0.108.3-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=rgl
Depends: libc6 (>= 2.29), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libpng16-16 (>= 1.6.2-1), libstdc++6 (>= 11), libx11-6, r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-knitr (>= 1.33), r-cran-jsonlite (>= 0.9.20), r-cran-magrittr, r-cran-r6, r-cran-crosstalk
Description:  GNU R package for three-dimensional visualisation using OpenGL This package provides functions implementing a new graphics device suitable for visualisation of GNU R objects in three dimensions using the OpenGL libraries.
Package: r-cran-rglpk (0.6-4-1build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=Rglpk
Depends: libc6 (>= 2.11), libglpk40 (>= 4.59), r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-slam (>= 0.1-9)
Description:  GNU R interface to the GNU Linear Programming Kit GLPK is open source software for solving large-scale linear programming (LP), mixed integer linear programming (MILP) and other related problems.
Package: r-cran-rglwidget (0.2.1-4build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rglwidget
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rgl (>= 0.96.0)
Description:  GNU R 'rgl' in 'htmlwidgets' Framework This GNU R package provides an 'htmlwidgets' (framework for creating HTML widgets that render in various contexts) framework for the 'rgl' (three-dimensional visualisation using OpenGL) package.
Package: r-cran-rgooglemaps (1.4.5.3-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RgoogleMaps
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-png, r-cran-sp
Description:  GNU R overlays on static maps Serves two purposes: (i) Provide a comfortable R interface to query the Google server for static maps, and (ii) Use the map as a background image to overlay plots within R. This requires proper coordinate scaling.
Package: r-cran-rhandsontable (0.3.7+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rhandsontable
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-jsonlite, r-cran-htmlwidgets (>= 0.3.3), r-cran-magrittr, libjs-jquery
Description:  GNU R interface to the 'Handsontable.js' library An R interface to the 'Handsontable' JavaScript library, which is a minimalist Excel-like data grid editor. See <https://handsontable.com/> for details.
Package: r-cran-rinside (0.2.16-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RInside
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp
Description:  GNU R package to embed R in C++ application The 'RInside' packages makes it easier to have "R inside" your C++ application by providing a C++ wrapper class providing the R interpreter. . As R itself is embedded into your application, a shared library build of R is required. This works on Linux, OS X and even on Windows provided you use the same tools used to build R itself. . Numerous examples are provided in the eight subdirectories of the examples/ directory of the installed package: standard, mpi (for parallel computing) qt (showing how to embed 'RInside' inside a Qt GUI application), wt (showing how to build a "web-application" using the Wt toolkit), armadillo (for 'RInside' use with 'RcppArmadillo') and eigen (for 'RInside' use with 'RcppEigen').  The example use GNUmakefile(s) with GNU extensions, so a GNU make is required (and will use the GNUmakefile automatically). . Doxygen-generated documentation of the C++ classes is available at the 'RInside' website as well.
Package: r-cran-rio (0.5.29-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rio
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-foreign, r-cran-haven (>= 1.1.2), r-cran-curl (>= 0.6), r-cran-data.table (>= 1.9.8), r-cran-readxl (>= 0.1.1), r-cran-openxlsx, r-cran-tibble
Description:  GNU R package with Swiss-army knife for data i/o Streamlined data import and export by making assumptions that the user is probably willing to make: 'import()' and 'export()' determine the data structure from the file extension, reasonable defaults are used for data import and export (e.g., 'stringsAsFactors=FALSE'), web-based import is natively supported (including from SSL/HTTPS), compressed files can be read directly without explicit decompression, and fast import packages are used where appropriate. An additional convenience function, 'convert()', provides a simple method for converting between file types.
Package: r-cran-riskregression (2021.10.10+ds-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=riskRegression
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-cmprsk, r-cran-data.table (>= 1.12.2), r-cran-doparallel, r-cran-foreach, r-cran-ggplot2 (>= 3.1.0), r-cran-lattice, r-cran-lava (>= 1.6.5), r-cran-mets, r-cran-mvtnorm, r-cran-plotrix, r-cran-prodlim (>= 2018.4.18), r-cran-publish, r-cran-ranger, r-cran-rcpp, r-cran-rms (>= 5.1.3), r-cran-survival (>= 2.44.1), r-cran-timereg (>= 1.9.3), r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  GNU R Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.
Package: r-cran-ritis (1.0.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ritis
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-solrium (>= 1.1.4), r-cran-crul (>= 0.9.0), r-cran-jsonlite, r-cran-data.table, r-cran-tibble
Description:  GNU R Integrated Taxonomic Information System client A GNU R interface to the Integrated Taxonomic Information System ('ITIS') (<https://www.itis.gov>). Includes functions to work with the 'ITIS' REST 'API' methods (<https://www.itis.gov/ws_description.html>), as well as the 'Solr' web service (<https://www.itis.gov/solr_documentation.html>).
Package: r-cran-rjags (1:4-12-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rjags
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-coda (>= 0.13), jags, libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11)
Description:  R interface to the JAGS Bayesian statistics package rjags allows calling JAGS code from R to estimate Bayesian statistical models using Gibbs sampling.  Coupled with the coda package, it allows the researcher to set up data in R, run a model specified in the JAGS/BUGS language on the data, and then conduct post-estimation analysis using R's tools.
Package: r-cran-rjava (1.0-6-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=rJava
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, openjdk-9-jre | default-jre, libc6 (>= 2.14)
Description:  GNU R low-level interface to Java This package provide a low-level interface from GNU R to Java VM very much like .C/.Call and friends. Allows creation of objects, calling methods and accessing fields.
Package: r-cran-rjson (0.2.21-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rjson
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), r-cran-littler
Description:  GNU R package for converting between R and JSON objects This package allows conversion of R objects to and from Javascript object notation (JSON) format. Conversion can be done from a file or directly from an URL. There are two available implementations: a fast C one and a slower R one.
Package: r-cran-rlang (1.0.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rlang
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, libc6 (>= 2.14)
Description:  Functions for Base Types and Core R and 'Tidyverse' Features A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Package: r-cran-rle (0.9.2-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rle
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.4)
Description:  GNU R common functions for run-length encoded vectors This GNU R package provides common functions for run-length encoded vectors. Common 'base' and 'stats' methods for 'rle' objects, aiming to make it possible to treat them transparently as vectors.
Package: r-cran-rlinsolve (0.3.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Rlinsolve
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rcpp (>= 0.12.4), r-cran-matrix, r-cran-rdpack, r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.3.1), libgomp1 (>= 4.9), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Description:  Iterative Solvers for (Sparse) Linear System of Equations Solving a system of linear equations is one of the most fundamental computational problems for many fields of mathematical studies, such as regression problems from statistics or numerical partial differential equations. Rlinsolve provides basic stationary iterative solvers such as Jacobi, Gauss-Seidel, Successive Over-Relaxation and SSOR methods. Nonstationary, also known as Krylov subspace methods are also provided. Sparse matrix computation is also supported in that solving large and sparse linear systems can be manageable using Matrix package along with RcppArmadillo. For a more detailed description, see a book by Saad (2003), doi:10.1137/1.9780898718003.
Package: r-cran-rlist (0.4.6.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rlist
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-yaml, r-cran-jsonlite, r-cran-xml, r-cran-data.table
Description:  GNU R toolbox for non-tabular data manipulation Provides a set of functions for data manipulation with list objects, including mapping, filtering, grouping, sorting, updating, searching, and other useful functions. Most functions are designed to be pipeline friendly so that data processing with lists can be chained.
Package: r-cran-rlrsim (3.1-6-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RLRsim
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp (>= 0.11.1), r-cran-lme4 (>= 1.1), r-cran-mgcv, r-cran-nlme, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R exact likelihood ratio tests for mixed and additive models Rapid, simulation-based exact (restricted) likelihood ratio tests for testing the presence of variance components/nonparametric terms for models fit with nlme::lme(),lme4::lmer(), lmeTest::lmer(), gamm4::gamm4(), mgcv::gamm() and SemiPar::spm().
Package: r-cran-rlumshiny (0.2.2-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RLumShiny
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-luminescence (>= 0.8.5), r-cran-shiny (>= 1.1.0), r-cran-rhandsontable (>= 0.3.4), r-cran-data.table (>= 1.10.4), r-cran-googlevis (>= 0.6.2), r-cran-shinydashboard (>= 0.7.0), r-cran-shinyjs (>= 1.0), r-cran-rcarb (>= 0.1.0), r-cran-rmarkdown (>= 1.11), r-cran-readxl (>= 1.1.0), r-cran-dt (>= 0.4), r-cran-knitr (>= 1.20)
Description:  GNU R 'Shiny' Applications for the R Package 'Luminescence' A collection of 'shiny' applications for the R package 'Luminescence'. These mainly, but not exclusively, include applications for plotting chronometric data from e.g. luminescence or radiocarbon dating. It further provides access to bootstraps tooltip and popover functionality and contains the 'jscolor.js' library with a custom 'shiny' output binding.
Package: r-cran-rmarkdown (2.6+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rmarkdown
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-knitr (>= 1.22), r-cran-yaml (>= 2.1.19), r-cran-htmltools (>= 0.3.5), r-cran-evaluate (>= 0.13), r-cran-jsonlite, r-cran-tinytex (>= 0.11), r-cran-xfun (>= 0.15), r-cran-stringr (>= 1.2.0), libjs-bootstrap, libjs-highlight.js, libjs-jquery-ui, libjs-modernizr, libjs-prettify, fonts-font-awesome, pandoc, r-cran-shiny, node-html5shiv
Description:  convert R markdown documents into a variety of formats R Markdown is a framework for creating documents that mix R code with markdown to produce visually pleasing, high quality and reproducible reports. It supports various output formats, including HTML, PDF, Microsoft Word and Beamer. . Please note: Upstream rmarkdown contains export to ioslides.  This was removed from the Debian package due to not existing license statement. If you need this functionality you need to install rmarkdown manually from CRAN.
Package: r-cran-rmpfr (0.8-7-0.1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Rmpfr
Depends: r-base-core (>= 4.1.2-1), r-api-4.0, r-cran-gmp (>= 0.6-1), libc6 (>= 2.4), libgmp10, libmpfr6 (>= 4.0.0)
Description:  R MPFR - Multiple Precision Floating-Point Reliable Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions.  To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Package: r-cran-rmpi (0.6-9.2-2)
Section: universe/math
Homepage: https://cran.r-project.org/package=Rmpi
Depends: libc6 (>= 2.34), libopenmpi3 (>= 4.1.2), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, mpi-default-bin
Description:  GNU R package interfacing MPI libraries for distributed computing This CRAN package provides an interface to the MPI (Message-Passing Interface) API. It also provides an interactive R slave environment in which distributed statistical computing can be carried out.
Package: r-cran-rms (6.2-0-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rms
Depends: libc6 (>= 2.29), r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-hmisc (>= 4.3-0), r-cran-survival (>= 3.1-12), r-cran-lattice, r-cran-ggplot2 (>= 2.2), r-cran-sparsem, r-cran-quantreg, r-cran-rpart, r-cran-nlme (>= 3.1-123), r-cran-polspline, r-cran-multcomp, r-cran-htmltable (>= 1.11.0), r-cran-htmltools, r-cran-mass, r-cran-cluster, r-cran-digest, r-cran-foreign, r-cran-nnet
Description:  GNU R regression modeling strategies by Frank Harrell Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit.  rms is a collection of 229 functions that assist with and streamline modeling.  It also contains functions for binary and ordinal logistic regression models and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models.  rms works with almost any regression model, but it was especially written to work with binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression. . See Frank Harrell (2001), Regression Modeling Strategies, Springer Series in Statistics, as well as http://biostat.mc.vanderbilt.edu/Rrms.
Package: r-cran-rmutil (1.1.8-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rmutil
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, libc6 (>= 2.29)
Description:  GNU R utilities for nonlinear regression and repeated measurements models A toolkit of functions for nonlinear regression and repeated measurements not to be used by itself but called by other Lindsey packages such as 'gnlm', 'stable', 'growth', 'repeated', and 'event' (available at <http://www.commanster.eu/rcode.html>).
Package: r-cran-rmysql (0.10.23-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=RMySQL
Depends: libc6 (>= 2.14), libmysqlclient21 (>= 8.0.11), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-dbi (>= 0.4)
Description:  GNU R package providing a DBI-compliant interface to MySQL The package implements access to MySQL databases via the DBI interface of R.
Package: r-cran-rnaturalearthdata (0.1.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rnaturalearthdata
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-sp (>= 1.0.15)
Description:  world vector map data from Natural Earth for GNU R This package contains vector map data from <http://www.naturalearthdata.com/>. Access functions are provided in the accompanying package 'rnaturalearth'.
Package: r-cran-rncl (0.8.4-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rncl
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp (>= 0.11.0), r-cran-progress (>= 1.1.2), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Description:  GNU R interface to the Nexus Class Library This R package provides an interface to the Nexus Class Library which allows parsing of NEXUS, Newick and other phylogenetic tree file formats. It provides elements of the file that can be used to build phylogenetic objects such as ape's 'phylo' or phylobase's 'phylo4(d)'.
Package: r-cran-rneos (0.4-0-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rneos
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcurl, r-cran-xml
Description:  GNU R package with XML-RPC interface to NEOS The rneos package implements access to the XML-RPC API for NEOS enabling the user to pass optimization problems to NEOS and retrieve results within R.
Package: r-cran-rnetcdf (2.5-2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RNetCDF
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.14), libnetcdf19 (>= 4.8.0), libudunits2-0 (>= 2.2.14)
Description:  GNU R package that provides an R interface to NetCDF datasets This package provides an R interface to Unidata's NetCDF library functions. NetCDF (network Common Data Form) is a set of interfaces for array-oriented data access. In addition to the interface to the NetCDF library functions, R interfaces are provided to access Unidata's UDUNITS calendar conversions.
Package: r-cran-rnexml (2.4.6+ds-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RNeXML
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-ape (>= 3.1), r-cran-xml (>= 3.95), r-cran-plyr (>= 1.8), r-cran-reshape2 (>= 1.2.2), r-cran-httr (>= 0.3), r-cran-uuid (>= 0.1-1), r-cran-dplyr (>= 0.5.0), r-cran-lazyeval (>= 0.1.0), r-cran-tidyr (>= 0.3.1), r-cran-stringr (>= 1.0), r-cran-stringi, r-cran-xml2, r-cran-rlang
Description:  GNU R package for semantically rich I/O for the 'NeXML' format Provides access to phyloinformatic data in 'NeXML' format. The package should add new functionality to R such as the possibility to manipulate 'NeXML' objects in more various and refined way and compatibility with 'ape' objects.
Package: r-cran-rngtools (1.5.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rngtools
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-digest
Description:  GNU R package for random number generators This package contains a set of functions for working with Random Number Generators (RNGs). In particular, it defines a generic S4 framework for getting/setting the current RNG, or RNG data that are embedded into objects for reproducibility. Notably, convenient default methods greatly facilitate the way current RNG settings can be changed.
Package: r-cran-rniftilib (0.0-35.r79-6)
Section: universe/gnu-r
Homepage: https://rniftilib.r-forge.r-project.org/
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.14), zlib1g (>= 1:1.1.4)
Description:  GNU/R interface to NIFTICLIB R interface to nifticlib (nifticlib-2.0.0) (read/write ANALYZE(TM)7.5/NIfTI-1 volume images)
Package: r-cran-robumeta (2.0-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=robumeta
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R robust variance meta-regression Functions for conducting robust variance estimation (RVE) meta- regression using both large and small sample RVE estimators under various weighting schemes. These methods are distribution free and provide valid point estimates, standard errors and hypothesis tests even when the degree and structure of dependence between effect sizes is unknown. Also included are functions for conducting sensitivity analyses under correlated effects weighting and producing RVE-based forest plots.
Package: r-cran-robust (0.7-0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=robust
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-fit.models, r-cran-lattice, r-cran-mass, r-cran-robustbase, r-cran-rrcov, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Description:  Port of the S+ "Robust Library" Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression and robust multivariate analysis.
Package: r-cran-robustbase (0.93-9-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=robustbase
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3, r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-deoptimr
Description:  GNU R package providing basic robust statistics This package provides 'essential' robust statistics. The goal of the package is to provide tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where the authors strive to cover the book "Robust Statistics,  Theory and Methods" by Maronna, Martin and Yohai; Wiley 2006.
Package: r-cran-robustrankaggreg (1.1-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RobustRankAggreg
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  Methods for robust rank aggregation Methods for aggregating ranked lists, especially lists of genes. It implements the Robust Rank Aggregation (Kolde et. al in preparation) and some other simple algorithms for the task. RRA method uses a probabilistic model for aggregation that is robust to noise and also facilitates the calculation of significance probabilities for all the elements in the final ranking.