k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-conditionz (0.1.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=conditionz
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-r6, r-cran-uuid
Description:  control how many times conditions are thrown for GNU R Provides ability to control how many times in function calls conditions are thrown (shown to the user). Includes control of warnings and messages.
Package: r-cran-conquer (1.2.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=conquer
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 9), r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-rcpp (>= 1.0.3), r-cran-matrix, r-cran-matrixstats, r-cran-rcpparmadillo (>= 0.9.850.1.0), r-cran-caret
Description:  GNU R package for convolution-type smoothed quantile regression The package offers fast and accurate convolution-type smoothed quantile regression. It is implemented using Barzilai-Borwein gradient descent with a Huber regression warm start. It constructs confidence intervals for regression coefficients using multiplier bootstrap.
Package: r-cran-contfrac (1.1-12-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=contfrac
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0
Description:  GNU R package providing various utilities for evaluating continued fractions The contfrac package is a GNU R package providing various utilities for evaluating continued fractions.
Package: r-cran-conting (1.7-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=conting
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mvtnorm, r-cran-bms, r-cran-gtools, r-cran-tseries, r-cran-coda
Description:  GNU R package for Bayesian analysis of contingency tables r-cran-conting is a GNU Package for Bayesian analysis of complete and incomplete contingency tables.
Package: r-cran-corpcor (1.6.10-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=corpcor
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R for Estimation of Covariance and Correlation -- corpcor GNU R package which implements a James-Stein-type shrinkage estimator for the covariance matrix, with separate shrinkage for variances and correlations.  The approach is both computationally as well as statistically very efficient, it is applicable to "small n, large p" data, and always returns a positive definite and well-conditioned covariance matrix.  In addition to inferring the covariance matrix the package also provides shrinkage estimators for partial correlations and partial variances.  The inverse of the covariance and correlation matrix can be efficiently computed, as well as any arbitrary power of the shrinkage correlation matrix.  Furthermore, functions are available for fast singular value decomposition, for computing the pseudoinverse, and for checking the rank and positive definiteness of a matrix.
Package: r-cran-corrplot (0.92-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=corrplot
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  Visualization of a Correlation Matrix A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering. In addition, corrplot is good at details, including choosing color, text labels, color labels, layout, etc.
Package: r-cran-covid19us (0.1.7-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=covid19us
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-curl (>= 4.3), r-cran-dplyr (>= 0.8.3), r-cran-glue (>= 1.3.1), r-cran-httr (>= 1.4.1), r-cran-lubridate (>= 1.7.4), r-cran-magrittr (>= 1.5), r-cran-purrr (>= 0.3.3), r-cran-snakecase (>= 0.11.0), r-cran-stringr (>= 1.4.0), r-cran-tibble (>= 2.1.3), r-cran-tidyr (>= 1.0.2)
Description:  cases of COVID-19 in the United States prepared for GNU R This package provides a GNU R wrapper around the 'COVID Tracking Project API' https://covidtracking.com/api/ providing data on cases of COVID-19 in the US.
Package: r-cran-covr (3.5.1+dfsg-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=covr
Depends: r-base-core (>= 4.0.4-1build1), r-api-4.0, r-cran-digest, r-cran-jsonlite, r-cran-rex, r-cran-httr, r-cran-crayon, r-cran-withr (>= 1.0.2), r-cran-yaml, libjs-bootstrap, node-html5shiv
Description:  test coverage for GNU R packages Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Package: r-cran-cowplot (1.1.1+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cowplot
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-ggplot2 (>= 2.2.1), r-cran-gtable, r-cran-rlang, r-cran-scales
Description:  GNU R streamlined plot theme and plot annotations for 'ggplot2' Some helpful extensions and modifications to the 'ggplot2' package. In particular, this package makes it easy to combine multiple 'ggplot2' plots into one and label them with letters, e.g. A, B, C, etc., as is often required for scientific publications. The package also provides a streamlined and clean theme that is used in the Wilke lab, hence the package name, which stands for Claus O. Wilke's plot package.
Package: r-cran-cpp11 (0.4.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cpp11
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  C++11 interface for GNU R's C interface Provides a header only, C++11 interface to R's C interface.  Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
Package: r-cran-crayon (1.5.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=crayon
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0
Description:  GNU R colored terminal output Colored terminal output on terminals that support ANSI color and highlight codes. ANSI color support is automatically detected. Colors and highlighting can be combined and nested. New styles can also be created easily. This package was inspired by the chalk JavaScript project.
Package: r-cran-credentials (1.3.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=credentials
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-openssl (>= 1.3), r-cran-sys (>= 2.1), r-cran-curl, r-cran-jsonlite, r-cran-askpass
Description:  GNU R tools for managing SSH and Git credentials Setup and retrieve HTTPS and SSH credentials for use with 'git' and other services. For HTTPS remotes the package interfaces the 'git-credential' utility which 'git' uses to store HTTP usernames and passwords. For SSH remotes convenient functions to find or generate appropriate SSH keys are provided. The package both helps the user to setup a local git installation, and also provides a back-end for git/ssh client libraries to authenticate with existing user credentials.
Package: r-cran-crosstalk (1.2.0+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=crosstalk
Depends: r-base-core (>= 4.1.2-1), r-api-4.0, r-cran-htmltools (>= 0.3.6), r-cran-jsonlite, r-cran-lazyeval, r-cran-r6, libjs-bootstrap, libjs-jquery, libjs-jquery-selectize.js, libjs-es5-shim, fonts-glyphicons-halflings, r-cran-shiny
Description:  GNU R inter-widget interactivity for HTML widgets Provides building blocks for allowing HTML widgets to communicate with each other, with Shiny or without (i.e. static .html files). Currently supports linked brushing and filtering.
Package: r-cran-crul (1.2.0+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=crul
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-curl (>= 3.3), r-cran-r6 (>= 2.2.0), r-cran-urltools (>= 1.6.0), r-cran-httpcode (>= 0.2.0), r-cran-jsonlite, r-cran-mime
Description:  simple HTTP Client for GNU R A simple HTTP client, with tools for making HTTP requests, and mocking HTTP requests. The package is built on R6, and takes inspiration from Ruby's 'faraday' gem (<https://rubygems.org/gems/faraday>). The package name is a play on curl, the widely used command line tool for HTTP, and this package is built on top of the R package 'curl', an interface to 'libcurl' (<https://curl.haxx.se/libcurl>).
Package: r-cran-ctmcd (1.4.1-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ctmcd
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-rcpp (>= 0.12.17), r-cran-coda, r-cran-expm, r-cran-numderiv, r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Description:  GNU R estimating the parameters of a continuous-time Markov chain from This GNU R package provides estimating the parameters of a continuous- time Markov chain from Discrete-Time Data Functions for estimating Markov generator matrices from discrete-time observations. The implemented approaches comprise diagonal adjustment, weighted adjustment and quasi-optimization of matrix logarithm based candidate solutions, an expectation-maximization algorithm as well as a Gibbs sampler.
Package: r-cran-cubature (2.0.4.2-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cubature
Depends: libc6 (>= 2.33), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 9), r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rcpp
Description:  GNU R package for adaptive multivariate integration The cubature package provides adaptive multivariate integration over hypercubes.
Package: r-cran-cubelyr (1.0.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cubelyr
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyselect
Description:  GNU R data cube 'dplyr' backend An implementation of a data cube extracted out of 'dplyr' for backward compatibility.
Package: r-cran-curl (4.3.2+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=curl
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.15), libcurl4 (>= 7.28.0)
Description:  GNU R modern and flexible web client for R The curl() and curl_download() functions provide highly configurable drop- in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other libcurl goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of libcurl is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic.
Package: r-cran-cutpointr (1.1.1-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cutpointr
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-gridextra (>= 2.2.1), r-cran-foreach (>= 1.4.3), r-cran-dplyr (>= 0.8.0), r-cran-tidyselect (>= 1.1.0), r-cran-tidyr (>= 1.0.0), r-cran-purrr (>= 0.3.0), r-cran-tibble (>= 3.0.0), r-cran-ggplot2 (>= 3.0.0), r-cran-rcpp (>= 0.12.12), r-cran-rlang (>= 0.4.0), libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 9)
Description:  GNU R determine and evaluate optimal cutpoints in binary Classification Tasks Estimate cutpoints that optimize a specified metric in binary classification tasks and validate performance using bootstrapping. Some methods for more robust cutpoint estimation are supported, e.g. a parametric method assuming normal distributions, bootstrapped cutpoints, and smoothing of the metric values per cutpoint using Generalized Additive Models. Various plotting functions are included. For an overview of the package see Thiele and Hirschfeld (2020) <arXiv:2002.09209>.
Package: r-cran-cvst (0.2-2-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=CVST
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-kernlab, r-cran-matrix
Description:  GNU R fast cross-validation via sequential testing This package implements the fast cross-validation via sequential testing (CVST) procedure. CVST is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. By eliminating underperforming candidates quickly and keeping promising candidates as long as possible, the method speeds up the computation while preserving the capability of a full cross-validation. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts.
Package: r-cran-d3network (0.5.2.1-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=d3Network
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-plyr, r-cran-rjson, r-cran-whisker
Description:  GNU R tools for creating D3 JavaScript network, tree, dendrogram etc. This GNU R package contains tools for creating D3 JavaScript network, tree, dendrogram, and Sankey graphs. This package is intended to make it easy to create D3 JavaScript network, tree, dendrogram, and Sankey graphs from R using data frames. . NOTE: Active development has moved to the networkD3 package and was only packaged for the purpose to fulfill reverse dependencies of other R packages.
Package: r-cran-data.table (1.14.2+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=data.table
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.33), libgomp1 (>= 6), zlib1g (>= 1:1.2.0)
Description:  GNU R extension of Data.frame Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development.
Package: r-cran-datawizard (0.2.3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=datawizard
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-insight (>= 0.14.4)
Description:  GNU R easy data wrangling A lightweight GNU R package to easily manipulate, clean, transform, and prepare your data for analysis. It also forms the data wrangling backend for the packages in the 'easystats' ecosystem.
Package: r-cran-date (1.2.39-1build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=date
Depends: libc6 (>= 2.4), r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package for date handling This CRAN package provides functions for handling dates, along with examples and documentation. . Note that this is a legacy package providing functionality that had been absent from R. However, more recent versions of R have more powerful date and datetime functionality in the base package, i.e. r-base-core under Debian.
Package: r-cran-dbi (1.1.2-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=DBI
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  GNU R package providing a generic database interface A generic database interface (DBI) definition for communication between R and relational database management systems -- similar to Perl's DBI system.  All classes in this package are virtual and need to be extended by the various R/DBMS implementations as e.g. RMySQL.
Package: r-cran-dbitest (1.7.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=DBItest
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-blob (>= 1.2.0), r-cran-callr, r-cran-dbi (>= 1.1.1), r-cran-desc, r-cran-hms (>= 0.5.0), r-cran-lubridate, r-cran-palmerpenguins, r-cran-r6, r-cran-rlang (>= 0.2.0), r-cran-testthat (>= 2.0.0), r-cran-withr, r-cran-vctrs
Description:  GNU R testing 'DBI' back ends This package provides a helper that tests 'DBI' back ends for conformity to the GNU R interface.
Package: r-cran-dbplyr (2.1.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=dbplyr
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-assertthat (>= 0.2.0), r-cran-blob (>= 1.2.0), r-cran-dbi (>= 1.0.0), r-cran-dplyr (>= 1.0.4), r-cran-ellipsis, r-cran-glue (>= 1.2.0), r-cran-lifecycle (>= 1.0.0), r-cran-magrittr, r-cran-purrr (>= 0.2.5), r-cran-r6 (>= 2.2.2), r-cran-rlang (>= 0.2.0), r-cran-tibble (>= 1.4.2), r-cran-tidyselect (>= 0.2.4), r-cran-vctrs, r-cran-withr
Description:  GNU R dplyr back end for databases GNU R dplyr back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author.
Package: r-cran-dbscan (1.1-10+ds-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=dbscan
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcpp (>= 1.0.0), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  Density Based Clustering of Applications with Noise (DBSCAN) Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms provides a fast reimplementation of several density- based algorithms of the DBSCAN family for spatial data. Includes the clustering algorithms DBSCAN (density-based spatial clustering of applications with noise) and HDBSCAN (hierarchical DBSCAN), the ordering algorithm OPTICS (ordering points to identify the clustering structure), and the outlier detection algorithm LOF (local outlier factor). The implementations use the kd-tree data structure (from library ANN) for faster k-nearest neighbor search. An R interface to fast kNN and fixed-radius NN search is also provided. Hahsler, Piekenbrock and Doran (2019) <doi:10.18637/jss.v091.i01>.
Package: r-cran-ddalpha (1.3.11-1build2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ddalpha
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass, r-cran-class, r-cran-robustbase, r-cran-sfsmisc, r-cran-geometry, r-cran-rcpp (>= 0.11.0), r-cran-bh, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R depth-based classification and calculation of data depth Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included.
Package: r-cran-ddrtree (0.1.5-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=DDRTree
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-irlba, r-cran-rcpp, r-cran-rcppeigen, r-cran-bh, libc6 (>= 2.29), libgcc-s1 (>= 4.0), libstdc++6 (>= 5.2)
Description:  GNU R learning principal graphs with DDRTree Provides an implementation of the framework of reversed graph embedding (RGE) which projects data into a reduced dimensional space while constructs a principal tree which passes through the middle of the data simultaneously. DDRTree shows superiority to alternatives (Wishbone, DPT) for inferring the ordering as well as the intrinsic structure of the single cell genomics data. In general, it could be used to reconstruct the temporal progression as well as bifurcation structure of any datatype.
Package: r-cran-deal (1:1.2-39-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=deal
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.2.5)
Description:  Learning Bayesian Networks with Mixed Variables Bayesian networks with continuous and/or discrete variables can be learned and compared from data.
Package: r-cran-decor (1.0.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=decor
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-tibble, r-cran-vctrs, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R retrieve code decorations Retrieves code comment decorations for C++ languages of the form '\\ [[xyz]]', which are used for automated wrapping of C++ functions.
Package: r-cran-deldir (1.0-6-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=deldir
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.29)
Description:  GNU R Delaunay Triangulation and Dirichlet (Voronoi) Tessellation This GNU R package calculates the Delaunay triangulation and the Dirichlet or Voronoi tessellation (with respect to the entire plane) of a planar point set. This package is used in Spatial Point Pattern analysis, model-fitting and simulation as it is done for instance in the package r-cran-spatstat.
Package: r-cran-dendextend (1.15.2+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=dendextend
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-magrittr (>= 1.0.1), r-cran-ggplot2, r-cran-viridis
Description:  Extending 'dendrogram' Functionality in GNU R Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can .  (1) Adjust a tree's graphical parameters - the color, size, type, etc      of its branches, nodes and labels.  (2) Visually and statistically compare different 'dendrograms' to      one another.
Package: r-cran-densityclust (0.3-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=densityClust
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-rcpp, r-cran-fnn, r-cran-rtsne, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-rcolorbrewer, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R clustering by fast search and find of density peaks An improved implementation (based on k-nearest neighbors) of the density peak clustering algorithm, originally described by Alex Rodriguez and Alessandro Laio (Science, 2014 vol. 344). It can handle large datasets (> 100, 000 samples) very efficiently. It was initially implemented by Thomas Lin Pedersen, with inputs from Sean Hughes and later improved by Xiaojie Qiu to handle large datasets with kNNs.
Package: r-cran-deoptim (2.2-6-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=DEoptim
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.4)
Description:  GNU R global optimization by differential evolution This GNU R package implements the differential evolution algorithm for global optimization of a real-valued function of a real-valued parameter vector.
Package: r-cran-deoptimr (1.0-10-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=deoptimR
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  GNU R package for Diffential Evolution in pure R The TH.data package provides a pure-R implementation of the jDE variant of the Differential Evolution stochastic algorithm for global optimization of nonlinear programming problems.
Package: r-cran-desc (1.4.0+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=desc
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-r6, r-cran-crayon, r-cran-rprojroot
Description:  GNU R manipulation of DESCRIPTION files This GNU R package enables reading, writing, creating, and manipulating DESCRIPTION files. It is intended for packages that create or manipulate other packages.