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R-preprocessCore-1.38.1-3.lbn25.x86_64
A library of core preprocessing routines
Located in LBN / … / Big Data / BastionLinux 25
R-processx-2.0.0.1-1.lbn25.x86_64
Portable 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 and their children; restart 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.
Located in LBN / … / Big Data / BastionLinux 25
R-promises-1.0.1-1.lbn25.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.
Located in LBN / … / Big Data / BastionLinux 25
R-qtl-1.41.6-4.lbn25.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.
Located in LBN / … / Big Data / BastionLinux 25
R-rematch-1.0.1-1.lbn25.noarch
A small wrapper on 'regexpr' to extract the matches and captured groups from the match of a regular expression to a character vector.
Located in LBN / … / Big Data / BastionLinux 25
R-repr-0.12-1.lbn25.noarch
String and byte representations for all kinds of R objects
Located in LBN / … / Big Data / BastionLinux 25
R-reprex-0.1.2-1.lbn25.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. 'reprex' also extracts clean, runnable R code from various common formats, such as copy/paste from an R session.
Located in LBN / … / Big Data / BastionLinux 25
R-reshape-0.8.7-2.lbn25.noarch
Flexibly restructure and aggregate data using just two functions: melt and cast.
Located in LBN / … / Big Data / BastionLinux 25
R-reshape2-1.4.3-3.lbn25.x86_64
Flexibly restructure and aggregate data using just two functions: melt and 'dcast' (or 'acast').
Located in LBN / … / Big Data / BastionLinux 25
R-reticulate-1.7-1.lbn25.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.
Located in LBN / … / Big Data / BastionLinux 25

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