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R-selectr-0.4.2-8.fc36.noarch
Translates a CSS3 selector into an equivalent XPath expression. This allows us to use CSS selectors when working with the XML package as it can only evaluate XPath expressions. Also provided are convenience functions useful for using CSS selectors on XML nodes. This package is a port of the Python package 'cssselect' (<https://cssselect.readthedocs.io/>).
Located in LBN / … / Big Data / BastionLinux 36
R-sfsmisc-1.1.11-5.fc36.noarch
Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes, an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Located in LBN / … / Big Data / BastionLinux 36
R-snow-0.4.3-9.fc36.noarch
Support for simple parallel computing in R.
Located in LBN / … / Big Data / BastionLinux 36
R-sourcetools-0.1.7-14.fc36.x86_64
Tools for the reading and tokenization of R code. The 'sourcetools' package provides both an R and C++ interface for the tokenization of R code, and helpers for interacting with the tokenized representation of R code.
Located in LBN / … / Big Data / BastionLinux 36
R-sp-1.4.5-5.fc36.x86_64
Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.
Located in LBN / … / Big Data / BastionLinux 36
R-statnet.common-4.5.0-3.fc36.x86_64
Non-statistical utilities used by the software developed by the Statnet Project. They may also be of use to others.
Located in LBN / … / Big Data / BastionLinux 36
R-stringdist-0.9.6.3-5.fc36.x86_64
Implements an approximate string matching version of R's native 'match' function. Also offers fuzzy text search based on various string distance measures. Can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q-gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences. This package is built for speed and runs in parallel by using 'openMP'. An API for C or C++ is exposed as well. Reference: MPJ van der Loo (2014) <doi:10.32614/RJ-2014-011>.
Located in LBN / … / Big Data / BastionLinux 36
R-stringi-1.6.2-3.fc36.x86_64
A multitude of character string/text/natural language processing tools: pattern searching (e.g., with 'Java'-like regular expressions or the 'Unicode' collation algorithm), random string generation, case mapping, string transliteration, concatenation, sorting, padding, wrapping, Unicode normalisation, date-time formatting and parsing, and many more. They are fast, consistent, convenient, and - owing to the use of the 'ICU' (International Components for Unicode) library - portable across all locales and platforms.
Located in LBN / … / Big Data / BastionLinux 36
R-stringr-1.4.0-12.fc36.noarch
A consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one function is easy to feed into the input of another.
Located in LBN / … / Big Data / BastionLinux 36
R-systemfit-1.1.24-7.fc36.noarch
This R package contains functions for fitting simultaneous systems of linear and nonlinear equations using Ordinary Least Squares (OLS), Weighted Least Squares (WLS), Seemingly Unrelated Regressions (SUR), Two-Stage Least Squares (2SLS), Weighted Two-Stage Least Squares (W2SLS), Three-Stage Least Squares (3SLS), and Weighted Three-Stage Least Squares (W3SLS).
Located in LBN / … / Big Data / BastionLinux 36

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