k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-rsvg (2.2.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rsvg
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, libc6 (>= 2.14), libcairo2 (>= 1.6.0), libglib2.0-0 (>= 2.12.0), librsvg2-2 (>= 2.47.3)
Description:  GNU R render SVG images into PDF, PNG, PostScript, or bitmap arrays Renders vector-based svg images into high-quality custom-size bitmap arrays using 'librsvg2'. The resulting bitmap can be written to e.g. png, jpeg or webp format. In addition, the package can convert images directly to various formats such as pdf or postscript.
Package: r-cran-rsymphony (0.1-33-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Rsymphony
Depends: coinor-libsymphony3, libc6 (>= 2.14), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  GNU R interface to the SYMPHONY MILP solver Rsymphony provides an interface from GNU R to the SYMPHONY mixed integer linear programming (MILP) solver. More information about SYMPHONY is at http://www.coin-or.org/SYMPHONY/
Package: r-cran-rtdists (0.11-5-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rtdists
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-evd, r-cran-msm, r-cran-gsl, r-cran-rcpp, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R response time distributions Provides response time distributions (density/PDF, distribution function/CDF, quantile function, and random generation): (a) Ratcliff diffusion model (Ratcliff & McKoon, 2008, <doi:10.1162/neco.2008.12-06-420>) based on C code by Andreas and Jochen Voss and (b) linear ballistic accumulator (LBA; Brown & Heathcote, 2008, <doi:10.1016/j.cogpsych.2007.12.002>) with different distributions underlying the drift rate.
Package: r-cran-rtsne (0.15-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Rtsne
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp (>= 0.11.0), libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libstdc++6 (>= 9)
Description:  GNU R T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut This package implements a R wrapper around the fast T-distributed Stochastic Neighbor Embedding implementation by Van der Maaten (see <https://github.com/lvdmaaten/bhtsne/> for more information on the original implementation).
Package: r-cran-rtweet (0.7.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rtweet
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-httr (>= 1.3.0), r-cran-jsonlite (>= 0.9.22), r-cran-magrittr (>= 1.5), r-cran-tibble (>= 1.3.4), r-cran-progress, r-cran-rcpp, r-cran-httpuv
Description:  collecting twitter data in GNU R An implementation of calls designed to collect and organize Twitter data via Twitter's REST and stream Application Program Interfaces (API), which can be found at the following URL: <https://developer.twitter.com/en/docs>. This package has been peer- reviewed by rOpenSci (v. 0.6.9).
Package: r-cran-runit (0.4.32-3)
Section: universe/math
Homepage: https://cran.r-project.org/package=RUnit
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package providing unit testing framework This package implements a standard Unit Testing framework, with additional code inspection and report generation tools
Package: r-cran-rversions (2.1.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rversions
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-curl, r-cran-xml2 (>= 1.0.0)
Description:  query GNU R versions, including 'r-release' and 'r-oldrel' Query the main 'R' 'SVN' repository to find the versions 'r-release' and 'r-oldrel' refer to, and also all previous 'R' versions and their release dates.
Package: r-cran-rvest (1.0.2-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rvest
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-httr (>= 0.5), r-cran-lifecycle (>= 1.0.0), r-cran-magrittr, r-cran-rlang (>= 0.4.10), r-cran-selectr, r-cran-tibble, r-cran-xml2 (>= 1.3)
Description:  Easily Harvest (Scrape) Web Pages Wrappers around the 'xml2' and 'httr' packages to make it easy to download, then manipulate, HTML and XML.
Package: r-cran-rwave (2.6-0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Rwave
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.4)
Description:  GNU R time-frequency analysis of 1-D signals A set of R functions which provide an environment for the Time-Frequency analysis of 1-D signals (and especially for the wavelet and Gabor transforms of noisy signals). It was originally written for Splus by Rene Carmona, Bruno Torresani, and Wen L. Hwang, first at the University of California at Irvine and then at Princeton University. Credit should also be given to Andrea Wang whose functions on the dyadic wavelet transform are included. Rwave is based on the book: "Practical Time-Frequency Analysis: Gabor and Wavelet Transforms with an Implementation in S", by Rene Carmona, Wen L. Hwang and Bruno Torresani (1998, eBook ISBN:978008053942), Academic Press.
Package: r-cran-rwiener (1.3-3-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RWiener
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R Wiener process distribution functions Provides Wiener process distribution functions, namely the Wiener first passage time density, CDF, quantile and random functions. Additionally supplies a modelling function (wdm) and further methods for the resulting object.
Package: r-cran-s2 (1.0.7-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=s2
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcpp, r-cran-wk (>= 0.5.0), libc6 (>= 2.34), libgcc-s1 (>= 3.0), libssl3 (>= 3.0.0~~alpha1), libstdc++6 (>= 11)
Description:  GNU R spherical geometry operators using the S2 geometry library Provides R bindings for Google's s2 library for geometric calculations on the sphere. High-performance constructors and exporters provide high compatibility with existing spatial packages, transformers construct new geometries from existing geometries, predicates provide a means to select geometries based on spatial relationships, and accessors extract information about geometries.
Package: r-cran-sampling (2.9-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sampling
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-mass, r-cran-lpsolve
Description:  Draw random samples using different sampling schemes Functions to draw random samples using different sampling schemes are available. Functions are also provided to obtain (generalized) calibration weights, different estimators, as well some variance estimators.
Package: r-cran-samr (3.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=samr
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-bioc-impute, r-cran-matrixstats, r-cran-shiny, r-cran-shinyfiles, r-cran-openxlsx, r-cran-gsa, libc6 (>= 2.4)
Description:  GNU R significance analysis of microarrays This GNU R package provides significance analysis of microarrays. A microarray is a multiplex lab-on-a-chip. It is a 2D array on a solid substrate (usually a glass slide or silicon thin-film cell) that assays large amounts of biological material using high-throughput screening miniaturized, multiplexed and parallel processing and detection methods. . This package helps analysing this kind of microarrays.
Package: r-cran-sandwich (3.0-1-2)
Section: universe/math
Homepage: https://cran.r-project.org/package=sandwich
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-zoo
Description:  GNU R package for model-robust standard error estimates This package contains model-robust standard error estimators for time series and longitudinal data.
Package: r-cran-sass (0.4.0+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sass
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-fs, r-cran-rlang (>= 0.4.10), r-cran-htmltools (>= 0.5.1), r-cran-r6, r-cran-rappdirs, libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11)
Description:  GNU R Syntactically Awesome Style Sheets ('Sass') An 'SCSS' compiler, powered by the 'LibSass' library. With this, R developers can use variables, inheritance, and functions to generate dynamic style sheets. The package uses the 'Sass CSS' extension language, which is stable, powerful, and CSS compatible.
Package: r-cran-satellite (1.0.4-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=satellite
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-plyr, r-cran-rcpp (>= 0.10.3), r-cran-terra, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), r-cran-raster (>= 3.5-9-1~)
Description:  GNU R handling and manipulating remote sensing data This package provides a broad variety of functions which are useful for handling, manipulating, and visualizing satellite-based remote sensing data. These operations range from mere data import and layer handling (eg subsetting), over Raster* typical data wrangling (eg crop, extend), to more sophisticated (pre-)processing tasks typically applied to satellite imagery (eg atmospheric and topographic correction). This functionality is complemented by a full access to the satellite layers' metadata at any stage and the documentation of performed actions in a separate log file. Currently available sensors include Landsat 4-5 (TM), 7 (ETM+), and 8 (OLI/TIRS Combined), and additional compatibility is ensured for the Landsat Global Land Survey data set. Moreover, support for Terra and Aqua-MODIS as well as PROBA-V is expected to arrive shortly.
Package: r-cran-scales (1.1.1-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=scales
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-farver (>= 2.0.3), r-cran-labeling, r-cran-lifecycle, r-cran-munsell (>= 0.5), r-cran-r6, r-cran-rcolorbrewer, r-cran-viridislite
Description:  Scale functions for visualization Graphical scales map data to aesthetics, and provide methods for automatically determining breaks and labels for axes and legends.
Package: r-cran-scatterd3 (1.0.0+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=scatterD3
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-htmlwidgets, r-cran-digest, r-cran-ellipse
Description:  D3 JavaScript scatterplot from GNU R This GNU R package creates 'D3' 'JavaScript' scatterplots from 'R' with interactive features : panning, zooming, tooltips, etc. . The `scatterD3` package provides an HTML widget based on the `htmlwidgets` package and allows one to produce interactive scatterplots by using the `d3` javascript visualization library.
Package: r-cran-scattermore (0.8-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=scattermore
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-ggplot2, r-cran-scales, libc6 (>= 2.2.5)
Description:  GNU R scatterplots with more points This GNU R package provides a C-based conversion of large scatterplot data to rasters.  It speeds up plotting of data with millions of points.
Package: r-cran-scatterplot3d (0.3-41-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=scatterplot3d
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package for Visualizing Multivariate Data Scatterplot3d is an GNU R package for the visualization of multivariate data in a three dimensional space. Basically scatterplot3d generates a scatter plot in the 3D space using a parallel projection. Higher dimensions (fourth, fifth, etc.) of the data can be visualized to some extent using, e.g. different colors, symbol types or symbol sizes.
Package: r-cran-sctransform (0.3.3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sctransform
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-mass, r-cran-matrix, r-cran-future.apply, r-cran-future, r-cran-ggplot2, r-cran-reshape2, r-cran-rlang, r-cran-gridextra, r-cran-matrixstats, r-cran-rcpparmadillo, r-cran-rcpp (>= 0.11.0), libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Description:  Variance Stabilizing Transformations for Single Cell UMI Data A normalization method for single-cell UMI count data using a variance stabilizing transformation. The transformation is based on a negative binomial regression model with regularized parameters. As part of the same regression framework, this package also provides functions for batch correction, and data correction. See Hafemeister and Satija 2019 <doi:10.1101/576827> for more details.
Package: r-cran-sdmtools (1.1-221.2-1build1)
Section: universe/science
Homepage: https://cran.r-project.org/package=SDMTools
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-r.utils, libc6 (>= 2.4)
Description:  Species Distribution Modelling Tools This package provides a set of tools for post processing the outcomes of species distribution modeling exercises. It includes novel methods for comparing models and tracking changes in distributions through time. It further includes methods for visualizing outcomes, selecting thresholds, calculating measures of accuracy and landscape fragmentation statistics, etc. . This package was made possible in part by financial support from the Australian Research Council & ARC Research Network for Earth System Science.
Package: r-cran-segmented (1.4-0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=segmented
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-mass
Description:  GNU R segmented relationships in regression models This GNU R package provides segmented relationships in regression models with breakpoints/changepoints estimation. . Given a (generalized) linear model, segmented ‘updates’ the model by adding one or more segmented relationships. Several variables with multiple breakpoints are allowed.
Package: r-cran-selectr (0.4-2-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=selectr
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-stringr, r-cran-r6
Description:  Translate CSS Selectors to XPath Expressions Translates a CSS3 selector into an equivalent XPath expression. This allows one 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/>).
Package: r-cran-sem (3.1.13-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sem
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-mass, r-cran-boot, r-cran-mi (>= 0.9-99), libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.3.1), liblapack3 | liblapack.so.3, libstdc++6 (>= 5.2)
Description:  GNU R functions for fitting structural equation models -- sem GNU R package supplying functions for fitting general linear structural equation models (with observed and latent variables) using the RAM approach, and for fitting structural equations in observed-variable models by two-stage least squares.
Package: r-cran-semplot (1.1.4-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=semPlot
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-qgraph (>= 1.2.4), r-cran-lavaan (>= 0.5-11), r-cran-sem (>= 3.1-0), r-cran-plyr, r-cran-xml, r-cran-igraph (>= 0.6-3), r-cran-lisreltor, r-cran-rockchalk, r-cran-colorspace, r-cran-corpcor, r-cran-openmx
Description:  path Diagrams and visual analysis of various SEM GNU R packages This GNU R package provides path diagrams and visual analysis of various SEM packages' output.  Path diagrams including visualizations of the parameter estimates can be plotted with `semPaths` and visualizations of the implied and observed correlation structures can be plotted using `semCors`. Finally, SEM syntax can be generated using `semSyntax`.
Package: r-cran-semtools (0.5.5-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=semTools
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-lavaan (>= 0.6-7), r-cran-pbivnorm
Description:  GNU R Tools for Structural Equation Modeling -- semTools GNU R package providing useful tools for structural equation modeling packages.
Package: r-cran-sendmailr (1.2-1-5build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sendmailR
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-base64enc
Description:  send email using GNU R This GNU R package contains a simple SMTP client which provides a portable solution for sending email, including attachements, from within GNU R.
Package: r-cran-seqinr (4.2-8-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=seqinr
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-ade4, r-cran-segmented, libc6 (>= 2.15), zlib1g (>= 1:1.1.4)
Description:  GNU R biological sequences retrieval and analysis Exploratory data analysis and data visualization for biological sequence (DNA and protein) data. Includes also utilities for sequence data management under the ACNUC system.
Package: r-cran-seriation (1.3.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=seriation
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-tsp, r-cran-qap, r-cran-cluster, r-cran-gclus, r-cran-colorspace, r-cran-mass, r-cran-registry, libc6 (>= 2.29)
Description:  GNU R infrastructure for ordering objects using seriation Infrastructure for seriation with an implementation of several seriation/sequencing techniques to reorder matrices, dissimilarity matrices, and dendrograms. Also provides (optimally) reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT).
Package: r-cran-seroincidence (2.0.0-2build1)
Section: universe/gnu-r
Homepage: https://ecdc.europa.eu/en/data-tools/seroincidence-calculator-tool/Pages/default.aspx
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R seroincidence calculator tool Antibody levels measured in a cross-sectional population samples can be translated into an estimate of the frequency with which seroconversions (new infections) occur. In order to interpret the measured cross-sectional antibody levels, parameters which predict the decay of antibodies must be known. In previously published reports (Simonsen et al. 2009 and Versteegh et al. 2005), this information has been obtained from longitudinal studies on subjects who had culture-confirmed Salmonella and Campylobacter infections. A Bayesian back-calculation model was used to convert antibody measurements into an estimation of time since infection. This can be used to estimate the seroincidence in the cross-sectional sample of population. For both the longitudinal and cross-sectional measurements of antibody concentrations, the indirect ELISA was used. The models are only valid for persons over 18 years. The seroincidence estimates are suitable for monitoring the effect of control programmes when representative cross-sectional serum samples are available for analyses. These provide more accurate information on the infection pressure in humans across countries.
Package: r-cran-sessioninfo (1.2.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sessioninfo
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-cli (>= 3.1.0)
Description:  R Session Information Query and print information about the current R session. It is similar to 'utils::sessionInfo()', but includes more information about packages, and where they were installed from.
Package: r-cran-setrng (2013.9-1-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=setRNG
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R set (normal) random number generator and seed SetRNG provides utilities to help set and record the setting of the seed and the uniform and normal generators used when a random experiment is run. The utilities can be used in other functions that do random experiments to simplify recording and/or setting all the necessary information for reproducibility. See the vignette and reference manual for examples.
Package: r-cran-sets (1.0.21+ds-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sets
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, libc6 (>= 2.4)
Description:  Sets, Generalized Sets, Customizable Sets and Intervals Data structures and basic operations for ordinary sets, generalizations such as fuzzy sets, multisets, and fuzzy multisets, customizable sets, and intervals.
Package: r-cran-seurat (4.1.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Seurat
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-cluster, r-cran-cowplot, r-cran-fitdistrplus, r-cran-future, r-cran-future.apply, r-cran-ggplot2 (>= 3.3.0), r-cran-ggrepel, r-cran-ggridges, r-cran-httr, r-cran-ica, r-cran-igraph, r-cran-irlba, r-cran-jsonlite, r-cran-kernsmooth, r-cran-leiden (>= 0.3.1), r-cran-lmtest, r-cran-mass, r-cran-matrixstats, r-cran-miniui, r-cran-patchwork, r-cran-pbapply, r-cran-plotly (>= 4.9.0), r-cran-png, r-cran-rann, r-cran-rcolorbrewer, r-cran-rcpp (>= 1.0.7), r-cran-rcppannoy (>= 0.0.18), r-cran-reticulate, r-cran-rlang, r-cran-rocr, r-cran-rtsne, r-cran-scales, r-cran-scattermore (>= 0.7), r-cran-sctransform (>= 0.3.3), r-cran-seuratobject (>= 4.0.4), r-cran-shiny, r-cran-spatstat.core, r-cran-spatstat.geom, r-cran-tibble, r-cran-uwot (>= 0.1.9), r-cran-rcppeigen, r-cran-rcppprogress, libc6 (>= 2.32), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  Tools for Single Cell Genomics A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Butler A and Satija R (2017) <doi:10.1101/164889> for more details.
Package: r-cran-seuratobject (4.0.4-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=SeuratObject
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-matrix (>= 1.3-3), r-cran-rcpp (>= 1.0.5), r-cran-rlang (>= 0.4.7), r-cran-rcppeigen, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  GNU R data structures for single cell data Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031> for more details.
Package: r-cran-sf (1.0-6+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sf
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-classint (>= 0.4-1), r-cran-dbi (>= 0.8), r-cran-magrittr, r-cran-rcpp (>= 0.12.18), r-cran-s2 (>= 1.0.7), r-cran-units (>= 0.7-0), libc6 (>= 2.32), libgcc-s1 (>= 3.0), libgdal30 (>= 3.4.0), libgeos-c1v5 (>= 3.9.0), libproj22 (>= 7.1.0), libstdc++6 (>= 11)
Description:  Simple Features for R Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations.
Package: r-cran-sfsmisc (1.1-12-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sfsmisc
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R utilities from 'Seminar fuer Statistik' ETH Zurich This packagr assembles a set of useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, quite a few related to graphics; some were ported from S-plus.