Modified items

All recently modified items, latest first.

R-roxygen2-7.1.2-2.fc36.x86_64: Generate your Rd documentation, 'NAMESPACE' file, and collation field using specially formatted comments. Writing documentation in-line with code makes it easier to keep your documentation up-to-date as your requirements change. 'Roxygen2' is inspired by the 'Doxygen' system for C++.

R-rmarkdown-2.10-2.fc36.noarch: Convert R Markdown documents into a variety of formats.

R-rlang-0.4.11-3.fc35.x86_64: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.

R-rgeos-0.5.8-2.fc36~bootstrap.x86_64: Interface to Geometry Engine - Open Source ('GEOS') using the C 'API' for topology operations on geometries.

R-rgdal-1.5.23-7.fc36.x86_64: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') and access to projection/transformation operations from the 'PROJ' library. Use is made of classes defined in the 'sp' package. Raster and vector map data can be imported into R, and raster and vector 'sp' objects exported. From 'rgdal' 1.5-8, installed with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference systems use 'WKT2_2019' strings, not 'PROJ' strings.

R-rex-1.2.0-7.fc36.noarch: A friendly interface for the construction of regular expressions.

R-reticulate-1.20-3.fc36.x86_64: Interface to Python modules, classes, and functions. When calling into Python, R data types are automatically converted to their equivalent Python types. When values are returned from Python to R they are converted back to R types.

R-reshape2-1.4.4-8.fc36.x86_64: Flexibly restructure and aggregate data using just two functions: melt and 'dcast' (or 'acast').

R-reshape-0.8.8-10.fc36.noarch: Flexibly restructure and aggregate data using just two functions: melt and cast.

R-reprex-2.0.1-2.fc36.noarch: Convenience wrapper that uses the 'rmarkdown' package to render small snippets of code to target formats that include both code and output. The goal is to encourage the sharing of small, reproducible, and runnable examples on code-oriented websites, such as <https://stackoverflow.com> and <https://github.com>, or in email. The user's clipboard is the default source of input code and the default target for rendered output. 'reprex' also extracts clean, runnable R code from various common formats, such as copy/paste from an R session.

R-repr-1.1.3-4.fc36.noarch: String and binary representations of objects for several formats / mime types.

R-rematch-1.0.1-12.fc36.noarch: A small wrapper on 'regexpr' to extract the matches and captured groups from the match of a regular expression to a character vector.

R-qvalue-2.24.0-3.fc36.noarch: It takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values. The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant. Various plots are automatically generated, allowing one to make sensible significance cut-offs. Several mathematical results have recently been shown on the conservative accuracy of the estimated q-values from this software. The software can be applied to problems in genomics, brain imaging, astrophysics, and data mining. This package is a part of the Bioconductor (bioconductor.org) project.

R-qtl-1.52-1.fc36.x86_64: R-qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental crosses. Our goal is to make complex QTL mapping methods widely accessible and allow users to focus on modeling rather than computing. A key component of computational methods for QTL mapping is the hidden Markov model (HMM) technology for dealing with missing genotype data. We have implemented the main HMM algorithms, with allowance for the presence of genotyping errors, for backcrosses, intercrosses, and phase-known four-way crosses. The current version of R-qtl includes facilities for estimating genetic maps, identifying genotyping errors, and performing single-QTL genome scans and two-QTL, two-dimensional genome scans, by interval mapping (with the EM algorithm), Haley-Knott regression, and multiple imputation. All of this may be done in the presence of covariates (such as sex, age or treatment). One may also fit higher-order QTL models by multiple imputation and Haley-Knott regression.

R-qcc-2.7-7.fc36.noarch: An R package for quality control charting and statistical process control. The qcc package for the R statistical environment provides: - Plot Shewhart quality control charts - Plot Cusum and EMWA charts for continuous data - Draw operating characteristic curves - Perform process capability analysis - Draw Pareto charts and cause-and-effect diagrams

R-promises-1.2.0.1-3.fc36~bootstrap.x86_64: Provides fundamental abstractions for doing asynchronous programming in R using promises. Asynchronous programming is useful for allowing a single R process to orchestrate multiple tasks in the background while also attending to something else. Semantics are similar to 'JavaScript' promises, but with a syntax that is idiomatic R.

R-processx-3.5.2-3.fc36~bootstrap.x86_64: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.

R-preprocessCore-1.54.0-3.fc36.x86_64: A library of core preprocessing routines

R-praise-1.0.0-18.fc36.noarch: Build friendly R packages that praise their users if they have done something good, or they just need it to feel better.

R-polynom-1.4.0-10.fc36.noarch: A collection of functions to implement a class for univariate polynomial manipulations.

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