k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-shades (1.4.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shades
Depends: r-base-core (>= 4.1.2-1), r-api-4.0
Description:  Simple Colour Manipulation Functions for easily manipulating colours, creating colour scales and calculating colour distances.
Package: r-cran-shape (1.4.6-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shape
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R functions for plotting graphical shapes, colors This GNU R package provides functions for plotting graphical shapes such as ellipses, circles, cylinders, arrows, ...
Package: r-cran-shapes (1.2.6-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shapes
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-minpack.lm, r-cran-scatterplot3d, r-cran-rgl, r-cran-mass
Description:  Statistical Shape Analysis Routines for the statistical analysis of landmark shapes, including Procrustes analysis, graphical displays, principal components analysis, permutation and bootstrap tests, thin-plate spline transformation grids and comparing covariance matrices. See Dryden, I.L. and Mardia, K.V. (2016). Statistical shape analysis, with Applications in R (2nd Edition), John Wiley and Sons.
Package: r-cran-shazam (1.1.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shazam
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-ggplot2 (>= 3.3.4), r-cran-alakazam (>= 1.1.0), r-cran-ape, r-cran-diptest, r-cran-doparallel, r-cran-dplyr (>= 0.8.1), r-cran-foreach, r-cran-igraph, r-cran-iterators, r-cran-kedd, r-cran-kernsmooth, r-cran-lazyeval, r-cran-mass, r-cran-progress, r-cran-rlang, r-cran-scales, r-cran-seqinr, r-cran-stringi (>= 1.1.3), r-cran-tidyr, r-cran-tidyselect
Description:  Immunoglobulin Somatic Hypermutation Analysis Provides a computational framework for Bayesian estimation of antigen-driven selection in immunoglobulin (Ig) sequences, providing an intuitive means of analyzing selection by quantifying the degree of selective pressure. Also provides tools to profile mutations in Ig sequences, build models of somatic hypermutation (SHM) in Ig sequences, and make model-dependent distance comparisons of Ig repertoires. . SHazaM is part of the Immcantation analysis framework for Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) and provides tools for advanced analysis of somatic hypermutation (SHM) in immunoglobulin (Ig) sequences. Shazam focuses on the following analysis topics: .  * Quantification of mutational load    SHazaM includes methods for determine the rate of observed and    expected mutations under various criteria. Mutational profiling    criteria include rates under SHM targeting models, mutations specific    to CDR and FWR regions, and physicochemical property dependent    substitution rates.  * Statistical models of SHM targeting patterns    Models of SHM may be divided into two independent components:     1) a mutability model that defines where mutations occur and     2) a nucleotide substitution model that defines the resulting mutation.    Collectively these two components define an SHM targeting    model. SHazaM provides empirically derived SHM 5-mer context mutation    models for both humans and mice, as well tools to build SHM targeting    models from data.  * Analysis of selection pressure using BASELINe    The Bayesian Estimation of Antigen-driven Selection in Ig Sequences    (BASELINe) method is a novel method for quantifying antigen-driven    selection in high-throughput Ig sequence data. BASELINe uses SHM    targeting models can be used to estimate the null distribution of    expected mutation frequencies, and provide measures of selection    pressure informed by known AID targeting biases.  * Model-dependent distance calculations    SHazaM provides methods to compute evolutionary distances between    sequences or set of sequences based on SHM targeting models. This    information is particularly useful in understanding and defining    clonal relationships.
Package: r-cran-shiny (1.5.0+dfsg-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shiny
Depends: r-base-core (>= 4.0.4-1build1), r-api-4.0, r-cran-httpuv (>= 1.5.2), r-cran-mime (>= 0.3), r-cran-jsonlite (>= 0.9.16), r-cran-xtable, r-cran-digest, r-cran-htmltools (>= 0.4.0.9003), r-cran-r6 (>= 2.0), r-cran-sourcetools, r-cran-later (>= 1.0.0), r-cran-promises (>= 1.1.0), r-cran-crayon, r-cran-rlang (>= 0.4.0), r-cran-fastmap (>= 1.0.0), r-cran-withr, r-cran-commonmark (>= 1.7), r-cran-glue (>= 1.3.2), libjs-bootstrap, libjs-json, libjs-jquery-datatables, libjs-es5-shim, libjs-jquery, libjs-jquery-ui, libjs-highlight.js, libjs-twitter-bootstrap-datepicker (>= 1.3.1+dfsg1-4), libjs-jquery-selectize.js, libjs-d3, libjs-normalize.css, fonts-font-awesome, node-html5shiv
Description:  GNU R web application framework Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive pre-built widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Package: r-cran-shinybs (0.61-4)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shinyBS
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-shiny (>= 0.11), r-cran-htmltools
Description:  GNU R Twitter bootstrap components for Shiny This GNU R package adds additional Twitter Bootstrap components to Shiny. . Shiny is a GNU R web application framework.
Package: r-cran-shinycssloaders (1.0.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shinycssloaders
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-digest, r-cran-glue, r-cran-shiny
Description:  add CSS loading animations to 'shiny' outputs in GNU R Create a lightweight Shiny wrapper for the css-loaders created by Luke Hass <https://github.com/lukehaas/css-loaders>. Wrapping a Shiny output will automatically show a loader when the output is (re)calculating.
Package: r-cran-shinydashboard (0.7.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shinydashboard
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-shiny (>= 1.0.0), r-cran-htmltools (>= 0.2.6), r-cran-promises
Description:  GNU R create dashboards with 'Shiny' This GNU R package enables creations of dashboards with 'Shiny'. This package provides a theme on top of 'Shiny', making it easy to create attractive dashboards.
Package: r-cran-shinyfiles (0.9.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shinyFiles
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-htmltools, r-cran-jsonlite, r-cran-shiny (>= 1.1.0), r-cran-fs (>= 1.2.6), r-cran-tibble (>= 1.4.2)
Description:  GNU R server-side file system viewer for shiny Provides functionality for client-side navigation of the server side file system in shiny apps. In case the app is running locally this gives the user direct access to the file system without the need to "download" files to a temporary location. Both file and folder selection as well as file saving is available.
Package: r-cran-shinyjs (2.1.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shinyjs
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-digest (>= 0.6.8), r-cran-jsonlite, r-cran-shiny (>= 1.0.0)
Description:  Easily Improve the User Experience of Your Shiny Apps in Seconds Perform common useful JavaScript operations in Shiny apps that will greatly improve your apps without having to know any JavaScript. Examples include: hiding an element, disabling an input, resetting an input back to its original value, delaying code execution by a few seconds, and many more useful functions for both the end user and the developer. 'shinyjs' can also be used to easily call your own custom JavaScript functions from R.
Package: r-cran-shinystan (2.5.0-4)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shinystan
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-shiny (>= 1.0.3), r-cran-bayesplot (>= 1.5.0), r-cran-colourpicker, r-cran-dt (>= 0.2), r-cran-dygraphs (>= 1.1.1.2), r-cran-ggplot2 (>= 2.1.1), r-cran-gridextra, r-cran-gtools, r-cran-markdown (>= 0.7.4), r-cran-reshape2, r-cran-rsconnect (>= 0.4.2), r-cran-rstan (>= 2.17.1), r-cran-shinyjs (>= 0.6.0), r-cran-shinythemes (>= 1.0.1), r-cran-threejs (>= 0.2.1), r-cran-xtable, r-cran-xts (>= 0.9-7)
Description:  GNU R interactive diagnostics and analysis for Bayesian models A graphical user interface for interactive Markov chain Monte Carlo (MCMC) diagnostics and plots and tables helpful for analyzing a posterior sample. The interface is powered by the 'Shiny' web application framework from 'RStudio' and works with the output of MCMC programs written in any programming language (and has extended functionality for 'Stan' models fit using the 'rstan' and 'rstanarm' packages).
Package: r-cran-shinythemes (1.2.0+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=shinythemes
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-shiny (>= 0.11), fonts-glyphicons-halflings
Description:  Themes for Shiny Themes for use with Shiny. Includes several Bootstrap themes from <http://bootswatch.com/>, which are packaged for use with Shiny applications.
Package: r-cran-simplermarkdown (0.0.4-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=simplermarkdown
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-rjson, pandoc
Description:  GNU R package which runs R code present in a pandoc markdown file and includes the resulting output in the resulting markdown file. This file can then be converted into any of the output formats supported by pandoc. The package can also be used as an engine for writing package vignettes.
Package: r-cran-sitmo (2.0.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sitmo
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rcpp (>= 0.12.13), libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libgomp1 (>= 4.9), libstdc++6 (>= 9)
Description:  GNU R parallel pseudo random number generator 'sitmo' header files Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel environment. In addition, there is a generator for one dimensional low-discrepancy sequence. The objective of this library to consolidate the distribution of the 'sitmo' (C++98 & C++11), 'threefry' and 'vandercorput' (C++11-only) engines on CRAN by enabling others to link to the header files inside of 'sitmo' instead of including a copy of each engine within their individual package. Lastly, the package contains example implementations using the 'sitmo' package and three accompanying vignette that provide additional information.
Package: r-cran-sjlabelled (1.1.8-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sjlabelled
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-insight (>= 0.7.0)
Description:  GNU R labelled data utility functions Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.
Package: r-cran-sjmisc (2.8.9-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sjmisc
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-dplyr, r-cran-insight, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-sjlabelled (>= 1.1.1), r-cran-tidyselect
Description:  GNU R data and variable transformation functions Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data, and all integrate seamlessly into a 'tidyverse'-workflow.
Package: r-cran-sjplot (2.8.10-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sjPlot
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-bayestestr, r-cran-datawizard, r-cran-dplyr, r-cran-effectsize, r-cran-ggeffects, r-cran-ggplot2 (>= 3.2.0), r-cran-knitr, r-cran-insight, r-cran-mass, r-cran-parameters, r-cran-performance, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-sjlabelled (>= 1.1.2), r-cran-sjmisc (>= 2.8.2), r-cran-sjstats (>= 0.17.8), r-cran-tidyr (>= 1.0.0)
Description:  GNU R data visualization for statistics in social science Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Package: r-cran-sjstats (0.18.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sjstats
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-bayestestr, r-cran-broom, r-cran-dplyr, r-cran-effectsize, r-cran-emmeans, r-cran-insight, r-cran-lme4, r-cran-magrittr, r-cran-mass, r-cran-modelr, r-cran-parameters, r-cran-performance, r-cran-purrr, r-cran-rlang, r-cran-sjlabelled, r-cran-sjmisc, r-cran-tidyr
Description:  GNU R collection of convenient functions for statistical computations Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and can be applied not only to vectors, but also to other objects as well (e.g., the Coefficient of Variation can be computed for vectors, linear models, or linear mixed models; the r2()-function returns the r-squared value for 'lm', 'glm', 'merMod' or 'lme' objects). The focus of most functions lies on summary statistics or fit measures for regression models, including generalized linear models and mixed effects models. However, some of the functions also deal with other statistical measures, like Cronbach's Alpha, Cramer's V, Phi etc.
Package: r-cran-slam (0.1-50-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=slam
Depends: libblas3 | libblas.so.3, libc6 (>= 2.4), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  GNU R sparse lighweight arrays and matrices package This package provides data structures and algorithms for sparse arrays and matrices, based on index arrays and simple triplet representations, respectively.
Package: r-cran-slider (0.2.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=slider
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-ellipsis (>= 0.3.1), r-cran-glue, r-cran-rlang (>= 0.4.5), r-cran-vctrs (>= 0.3.6), r-cran-warp, libc6 (>= 2.4)
Description:  GNU R sliding window functions Provides type-stable rolling window functions over any R data type. Cumulative and expanding windows are also supported. For more advanced usage, an index can be used as a secondary vector that defines how sliding windows are to be created.
Package: r-cran-sm (2.2-5.7-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=sm
Depends: libc6 (>= 2.14), libgfortran5 (>= 10), r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R package for kernel smoothing methods This CRAN package provides functions and documentation for kernel smoothing methods for GNU R. The functions are described in the book "Applied Smoothing Techniques for Data Analysis: The kernel approach with S-Plus illustrations" by Adrian W. Bowman & Adelchi Azzalini, Oxford UP, 1997.
Package: r-cran-smcfcs (1.6.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=smcfcs
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-mass, r-cran-survival, r-cran-vgam, r-cran-rlang, r-cran-checkmate, r-cran-abind
Description:  GNU R multiple imputation of Covariates by substantive model Compatible Fully Conditional Specification Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Package: r-cran-smoother (1.1-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=smoother
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-ttr (>= 0.22)
Description:  GNU R functions relating to the smoothing of numerical data A collection of methods for smoothing numerical data, commencing with a port of the Matlab gaussian window smoothing function. In addition, several functions typically used in smoothing of financial data are included.
Package: r-cran-sn (2.0.1-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=sn
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-mnormt (>= 2.0.0), r-cran-numderiv, r-cran-quantreg
Description:  GNU R package providing skew-normal and skew-t distributions This package provides functions for manipulating skew-normal and skew-t probability distributions, and for fitting them to data, in the scalar and in the multivariate case.
Package: r-cran-sna (2.6-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sna
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-statnet.common, r-cran-network, libc6 (>= 2.14)
Description:  Tools for Social Network Analysis A range of tools for social network analysis, including node and graph- level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization.
Package: r-cran-snakecase (0.11.0-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=snakecase
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-stringr, r-cran-stringi
Description:  convert strings into any case for GNU R This package provides a consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.
Package: r-cran-snow (1:0.4.4-2)
Section: universe/math
Homepage: https://cran.r-project.org/package=snow
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  GNU R package for 'simple network of workstations' This package provide the 'simple network of workstations' (SNOW), an easy-to-use system for parallel computing in GNU R.
Package: r-cran-snowballc (0.7.0-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=SnowballC
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.4)
Description:  Snowball stemmers based on the C libstemmer UTF-8 library An R interface to the C libstemmer library that implements Porter's word stemming algorithm for collapsing words to a common root to aid comparison of vocabulary. Currently supported languages are Danish, Dutch, English, Finnish, French, German, Hungarian, Italian, Norwegian, Portuguese, Romanian, Russian, Spanish, Swedish and Turkish.
Package: r-cran-snowfall (1.84-6.1-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=snowfall
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-snow
Description:  GNU R easier cluster computing (based on snow) Usability wrapper around snow for easier development of parallel R programs. This package offers e.g. extended error checks, and additional functions. All functions work in sequential mode, too, if no cluster is present or wished. Package is also designed as connector to the cluster management tool sfCluster, but can also used without it.
Package: r-cran-sodium (1.2.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sodium
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.14), libsodium23 (>= 1.0.10)
Description:  GNU R modern and easy-to-use crypto library Bindings to 'libsodium': a modern, easy-to-use software library for encryption, decryption, signatures, password hashing and more. Sodium uses curve25519, a state-of-the-art Diffie-Hellman function by Daniel Bernstein, which has become very popular after it was discovered that the NSA had backdoored Dual EC DRBG.
Package: r-cran-solrium (1.2.0+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=solrium
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-dplyr (>= 0.5.0), r-cran-plyr (>= 1.8.4), r-cran-crul (>= 0.4.0), r-cran-xml2 (>= 1.0.0), r-cran-jsonlite (>= 1.0), r-cran-tibble (>= 1.4.2), r-cran-r6
Description:  general purpose R interface to 'Solr' This GNU R package provides a set of functions for querying and parsing data from 'Solr' (<http://lucene.apache.org/solr>) 'endpoints' (local and  remote), including search, 'faceting', 'highlighting', 'stats', and 'more like this'. In addition, some functionality is included for creating, deleting, and updating documents in a 'Solr' 'database'.
Package: r-cran-sourcetools (0.1.7-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sourcetools
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  tools for reading, tokenizing and parsing R code 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.
Package: r-cran-sp (1:1.4-6-1)
Section: universe/science
Homepage: https://cran.r-project.org/package=sp
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-lattice, libc6 (>= 2.4)
Description:  GNU R classes and methods for spatial data This GNU R package provides 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.
Package: r-cran-spacetime (1.2-6+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=spacetime
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-lattice, r-cran-sp (>= 1.1-0), r-cran-zoo (>= 1.7-9), r-cran-xts (>= 0.8-8), r-cran-intervals
Description:  GNU R classes and methods for spatio-temporal data Classes and methods for spatio-temporal data, including space-time regular lattices, sparse lattices, irregular data, and trajectories; utility functions for plotting data as map sequences (lattice or animation) or multiple time series; methods for spatial and temporal selection and subsetting, as well as for spatial/temporal/spatio- temporal matching or aggregation, retrieving coordinates, print, summary, etc.
Package: r-cran-spam (2.8-0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=spam
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-dotcall64, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Description:  GNU R functions for sparse matrix algebra Set of functions for sparse matrix algebra. Differences with SparseM/Matrix are:  1. only (essentially) one sparse matrix format supported,  2. based on transparent and simple structure(s),  3. tailored for MCMC calculations within GMRF.  4. S3 and S4 like-"compatible"
Package: r-cran-sparql (1.16-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=SPARQL
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-xml, r-cran-rcurl
Description:  GNU R SPARQL client This GNU R package provides an API to use SPARQL to pose SELECT or UPDATE queries to an end-point. . SPARQL is an RDF query language—that is, a semantic query language for databases -- able to retrieve and manipulate data stored in Resource Description Framework (RDF) format.