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RPMPackage R-bit64-4.0.5-5.fc36.x86_64
Package 'bit64' provides serializable S3 atomic 64bit (signed) integers. These are useful for handling database keys and exact counting in +-2^63. WARNING: do not use them as replacement for 32bit integers, integer64 are not supported for subscripting by R-core and they have different semantics when combined with double, e.g. integer64 + double => integer64. Class integer64 can be used in vectors, matrices, arrays and data.frames. Methods are available for coercion from and to logicals, integers, doubles, characters and factors as well as many elementwise and summary functions. Many fast algorithmic operations such as 'match' and 'order' support interactive data exploration and manipulation and optionally leverage caching.
RPMPackage R-bit-4.0.4-5.fc36~bootstrap.x86_64
Provided are classes for boolean and skewed boolean vectors, fast boolean methods, fast unique and non-unique integer sorting, fast set operations on sorted and unsorted sets of integers, and foundations for ff (range index, compression, chunked processing).
RPMPackage R-biomaRt-2.48.1-3.fc36.noarch
In recent years a wealth of biological data has become available in public data repositories. Easy access to these valuable data resources and firm integration with data analysis is needed for comprehensive bioinformatics data analysis. biomaRt provides an interface to a growing collection of databases implementing the BioMart software suite (http://www.biomart.org). The package enables retrieval of large amounts of data in a uniform way without the need to know the underlying database schemas or write complex SQL queries. Examples of BioMart databases are Ensembl, COSMIC, Uniprot, HGNC, Gramene, Wormbase and dbSNP mapped to Ensembl. These major databases give biomaRt users direct access to a diverse set of data and enable a wide range of powerful online queries from gene annotation to database mining.
RPMPackage R-bindrcpp-0.2.2-13.fc36.x86_64
Provides an easy way to fill an environment with active bindings that call a C++ function.
RPMPackage R-bindr-0.1.1-12.fc36.noarch
Provides a simple interface for creating active bindings where the bound function accepts additional arguments.
RPMPackage R-biglm-0.9.2.1-4.fc36.x86_64
Regression for data too large to fit in memory.
RPMPackage R-biglm-0.9.2.1-4.fc36.x86_64
Regression for data too large to fit in memory.
RPMPackage R-base64enc-0.1.3-13.fc36.x86_64
This package provides tools for handling base64 encoding. It is more flexible than the orphaned base64 package.
RPMPackage R-backports-1.2.1-5.fc36.x86_64
Functions introduced or changed since R v3.0.0 are re-implemented in this package. The backports are conditionally exported in order to let R resolve the function name to either the implemented backport, or the respective base version, if available. Package developers can make use of new functions or arguments by selectively importing specific backports to support older installations.
RPMPackage R-assertthat-0.2.1-10.fc36.noarch
An extension to stopifnot() that makes it easy to declare the pre and post conditions that you code should satisfy, while also producing friendly error messages so that your users know what's gone wrong.
RPMPackage R-ascii-2.4-5.fc36.noarch
Coerce R object to asciidoc, txt2tags, restructuredText, org, textile or pandoc syntax. Package comes with a set of drivers for Sweave.
RPMPackage R-argon2-0.2.0-14.fc36.x86_64
Utilities for secure password hashing via the argon2 algorithm. It is a relatively new hashing algorithm and is believed to be very secure. The 'argon2' implementation included in the package is the reference implementation. The package also includes some utilities that should be useful for digest authentication, including a wrapper of 'blake2b'. For similar R packages, see sodium and 'bcrypt'. See <https://en.wikipedia.org/wiki/Argon2> or <https://eprint.iacr.org/2015/430.pdf> for more information.
RPMPackage R-ape-5.5-3.fc36.x86_64
Functions for reading, writing, plotting, and manipulating phylogenetic trees, analyses of comparative data in a phylogenetic framework, ancestral character analyses, analyses of diversification and macroevolution, computing distances from DNA sequences, reading and writing nucleotide sequences as well as importing from BioConductor, and several tools such as Mantel's test, generalized skyline plots, graphical exploration of phylogenetic data (alex, trex, kronoviz), estimation of absolute evolutionary rates and clock-like trees using mean path lengths and penalized likelihood, dating trees with non-contemporaneous sequences, translating DNA into AA sequences, and assessing sequence alignments. Phylogeny estimation can be done with the NJ, BIONJ, ME, MVR, SDM, and triangle methods, and several methods handling incomplete distance matrices (NJ*, BIONJ*, MVR*, and the corresponding triangle method). Some functions call external applications (PhyML, Clustal, T-Coffee, Muscle) whose results are returned into R.
RPMPackage R-acepack-1.4.1-18.fc36.x86_64
ACE and AVAS (additivity and variance stabilization) are used to estimate transformations for regression.
RPMPackage R-abind-1.4.5-12.fc36.noarch
Combine multi-dimensional arrays. This is a generalization of cbind and rbind. Takes a sequence of vectors, matrices, or arrays and produces a single array of the same or higher dimension.
RPMPackage R-XVector-0.32.0-3.fc36.x86_64
Memory efficient S4 classes for storing sequences "externally" (behind an R external pointer, or on disk).
RPMPackage R-XML-3.99.0.6-3.fc36.x86_64
Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an XPath "interpreter".
RPMPackage R-V8-3.4.2-4.fc36.x86_64
An R interface to V8: Google's open source JavaScript and WebAssembly engine.
RPMPackage R-TH-data-1.0.10-8.fc35.noarch
Data for other R packages.
RPMPackage R-SummarizedExperiment-1.22.0-3.fc36.noarch
The SummarizedExperiment container contains one or more assays, each represented by a marix-like object of numeric or other mode. The rows typically represent genomic ranges of interest and the columns represent samples.
 
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