k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-rockchalk (1.8.151+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rockchalk
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-lme4, r-cran-cardata, r-cran-mass, r-cran-kutils
Description:  GNU R regression estimation and presentation A collection of functions for interpretation and presentation of regression analysis.  These functions are used to produce the statistics lectures in <http://pj.freefaculty.org/guides>. Includes regression diagnostics, regression tables, and plots of interactions and "moderator" variables. The emphasis is on "mean-centered" and "residual-centered" predictors. The vignette 'rockchalk' offers a fairly comprehensive overview.  The vignette 'Rstyle' has advice about coding in R.  The package title 'rockchalk' refers to the school motto, 'Rock Chalk Jayhawk, Go K.U.'.
Package: r-cran-rocr (1.0-11-2build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=ROCR
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-gplots
Description:  GNU R package to prepare and display ROC curves ROC graphs, sensitivity/specificity curves, lift charts, and precision/recall plots are popular examples of trade-off visualizations for specific pairs of performance measures. ROCR is a flexible tool for creating cutoff-parametrized 2D performance curves by freely combining two from over 25 performance measures (new performance measures can be added using a standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different methods, and standard deviations, standard errors or box plots can be used to visualize the variability across the runs. The parametrization can be visualized by printing cutoff values at the corresponding curve positions, or by coloring the curve according to cutoff. All components of a performance plot can be quickly adjusted using a flexible parameter dispatching mechanism. Despite its flexibility, ROCR is easy to use, with only three commands and reasonable default values for all optional parameters. . ROCR features: ROC curves, precision/recall plots, lift charts, cost curves, custom curves by freely selecting one performance measure for the x axis and one for the y axis, handling of data from cross-validation or bootstrapping, curve averaging (vertically, horizontally, or by threshold), standard error bars, box plots, curves that are color-coded by cutoff, printing threshold values on the curve, tight integration with Rs plotting facilities (making it easy to adjust plots or to combine multiple plots), fully customizable, easy to use (only 3 commands). . Performance measures that ROCR knows: Accuracy, error rate, true positive rate, false positive rate, true negative rate, false negative rate, sensitivity, specificity, recall, positive predictive value, negative predictive value, precision, fallout, miss, phi correlation coefficient, Matthews correlation coefficient, mutual information, chi square statistic, odds ratio, lift value, precision/recall F measure, ROC convex hull, area under the ROC curve, precision/recall break-even point, calibration error, mean cross-entropy, root mean squared error, SAR measure, expected cost, explicit cost.
Package: r-cran-rodbc (1.3-19-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=RODBC
Depends: libc6 (>= 2.14), libodbc1 (>= 2.3.1), r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R package for ODBC database access This CRAN package provides access to any Open DataBase Connectivity (ODBC) accessible database. . The package should be platform independent and provide access to any database for which a driver exists.  It has been tested with MySQL and PostgreSQL on both Linux and Windows (and to those DBMSs on Linux hosts from R under Windows), Microsoft Access, SQL Server and Excel spreadsheets (read-only), and users have reported success with connections to Oracle and DBase. . Usage is covered in the R Data Import/Export manual (available via the r-doc-pdf, r-doc-html and r-doc-info packages).
Package: r-cran-rook-examples (1.1-1+dfsg-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Rook
Depends: libjs-prototype, r-cran-rook
Description:  web server interface for R (examples) The package provides a set of routines for R to perform as a web server. This is used by a series of reverse dependencies to develop interactive interfaces to statistical analyses and reports. . This package separates the examples from the core functionality.
Package: r-cran-rook (1.1-1+dfsg-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Rook
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-brew
Description:  web server interface for R The package provides a set of routines for R to perform as a web server. This is used by a series of reverse dependencies to develop interactive interfaces to statistical analyses and reports.
Package: r-cran-rose (0.0-4-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ROSE
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R random over-sampling examples Functions to deal with binary classification problems in the presence of imbalanced classes. Synthetic balanced samples are generated according to ROSE (Menardi and Torelli, 2013). Functions that implement more traditional remedies to the class imbalance are also provided, as well as different metrics to evaluate a learner accuracy. These are estimated by holdout, bootstrap or cross-validation methods.
Package: r-cran-rotl (3.0.12-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rotl
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-ape, r-cran-assertthat (>= 0.1), r-cran-httr, r-cran-jsonlite, r-cran-rentrez, r-cran-rncl (>= 0.6.0)
Description:  GNU R interface to the 'Open Tree of Life' API An interface to the 'Open Tree of Life' API to retrieve phylogenetic trees, information about studies used to assemble the synthetic tree, and utilities to match taxonomic names to 'Open Tree identifiers'. The 'Open Tree of Life' aims at assembling a comprehensive phylogenetic tree for all named species.
Package: r-cran-roxygen2 (7.1.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=roxygen2
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-brew, r-cran-commonmark, r-cran-desc (>= 1.2.0), r-cran-digest, r-cran-knitr, r-cran-pkgload (>= 1.0.2), r-cran-purrr (>= 0.3.3), r-cran-r6 (>= 2.1.2), r-cran-rlang, r-cran-stringi, r-cran-stringr (>= 1.0.0), r-cran-xml2, r-cran-cpp11, libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 5.2)
Description:  in-line documentation for GNU R Generate your Rd documentation, 'NAMESPACE' file, and collation field using specially formatted comments. Writing documentation in-line with code makes it easier to keep your documentation up-to-date as your requirements change. 'Roxygen2' is inspired by the 'Doxygen' system for C++.
Package: r-cran-rpact (3.2.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rpact
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcpp (>= 1.0.0), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Description:  Confirmatory Adaptive Clinical Trial Design and Analysis Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016). This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Package: r-cran-rpart (4.1.16-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=rpart
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libc6 (>= 2.14), r-cran-survival
Description:  GNU R package for recursive partitioning and regression trees This package provides functions to recursive partitioning and regression trees. . This package is part of the set of packages that are 'recommended' by R Core and shipped with upstream source releases of R itself. . URL (of the S-Plus original): http://www.mayo.edu/hsr/Sfunc.html
Package: r-cran-rpf (1.0.11+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rpf
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rcpp (>= 1.0.2), r-cran-mvtnorm, r-cran-lifecycle, r-cran-rcppeigen, libc6 (>= 2.29), libgcc-s1 (>= 3.3.1), libgomp1 (>= 4.9), libstdc++6 (>= 11)
Description:  GNU R response probability functions The purpose of this package is to factor out logic and math common to Item Factor Analysis fitting, diagnostics, and analysis. It is envisioned as core support code suitable for more specialized IRT packages to build upon. Complete access to optimized C functions are made available with R_RegisterCCallable().
Package: r-cran-rpostgresql (0.7-3+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RPostgreSQL
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-dbi (>= 0.3), libc6 (>= 2.14), libpq5, r-cran-littler
Description:  GNU R package providing database interface and driver for PostgreSQL This package provides a Database Interface (DBI) compliant driver for R to access PostgreSQL database systems.
Package: r-cran-rprojroot (2.0.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rprojroot
Depends: r-base-core (>= 4.0.3-1), r-api-4.0
Description:  GNU R finding files in project subdirectories Robust, reliable and flexible paths to files below a project root. The 'root' of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.
Package: r-cran-rprotobuf (0.4.18-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RProtoBuf
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcpp, libc6 (>= 2.34), libgcc-s1 (>= 3.0), libprotobuf23 (>= 3.12.4), libstdc++6 (>= 5.2)
Description:  GNU R package providing an interface to the Protocol Buffers API r-cran-protobuf is a GNU R package providing an interface to the Protocol Buffers API. Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats.
Package: r-cran-rquantlib (0.4.15-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=RQuantLib
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libquantlib0v5, libstdc++6 (>= 11), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcpp (>= 0.11.0), r-cran-zoo
Description:  GNU R package interfacing the QuantLib finance library This CRAN package provides an interface for GNU R to the QuantLib library for modeling, trading, and risk management of financial assets.
Package: r-cran-rrcov (1.6-2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rrcov
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-robustbase (>= 0.92.1), r-cran-mvtnorm, r-cran-lattice, r-cran-pcapp, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Description:  Scalable Robust Estimators with High Breakdown Point Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point.
Package: r-cran-rredlist (0.7.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rredlist
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-crul (>= 0.3.8), r-cran-jsonlite (>= 1.1)
Description:  GNU R IUCN Red List Client The IUCN Red List is a global list of threatened and endangered species. This GNU R package provides an IUCN Red List client to the Red List API routines. . The IUCN Global Species Programme working with the IUCN Species Survival Commission (SSC) has been assessing the conservation status of species, subspecies, varieties, and even selected subpopulations on a global scale for the past 50 years in order to highlight taxa threatened with extinction, and thereby promote their conservation.
Package: r-cran-rsample (0.1.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rsample
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-dplyr (>= 1.0.0), r-cran-ellipsis, r-cran-furrr, r-cran-generics, r-cran-lifecycle, r-cran-purrr, r-cran-rlang (>= 0.4.10), r-cran-slider (>= 0.1.5), r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs (>= 0.3.0)
Description:  GNU R general resampling infrastructure Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation). . A resample is defined as the result of a two-way split of a data set. For example, when bootstrapping, one part of the resample is a sample with replacement of the original data. The other part of the split contains the instances that were not contained in the bootstrap sample. Cross-validation is another type of resampling.
Package: r-cran-rsclient (0.7-6-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RSclient
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libc6 (>= 2.15), libssl3 (>= 3.0.0~~alpha1)
Description:  GNU R package providing an Rserve client This package provides a client for Rserve, allowing to connect to Rserve instances and issue commands. . Rserve is provided by the 'rserve' package in Debian.
Package: r-cran-rsconnect (0.8.25-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rsconnect
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-curl, r-cran-digest, r-cran-jsonlite, r-cran-openssl, r-cran-packrat (>= 0.6), r-cran-rstudioapi (>= 0.5), r-cran-yaml (>= 2.1.5)
Description:  GNU R deployment interface for markdown and Shiny applications Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'RStudio Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Package: r-cran-rsdmx (1:0.6+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rsdmx
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-r6, r-cran-xml (>= 3.98-1.3), r-cran-httr, r-cran-plyr
Description:  GNU R package for the Statistical Data and Metadata Exchange (SDMX) framework This package provides a set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework, currently focusing on the SDMX XML standard format (SDMX-ML). . SDMX is an initiative to foster standards for the exchange of statistical information. It is sponsored by several major providers of statistical information: the Bank for International Settlements, the European Central Bank, Eurostat (the statistical office of the European Union), the International Monetary Fund (IMF), the Organisation for Economic Co-operation and Development (OECD), the United Nations Statistics Division, the United Nations Educational, Scientific and Cultural Organization and the World Bank. . The package can therefore be used to download statistical information from the servers of those organizations, and from those of several other institutions.
Package: r-cran-rserve (1.8-10-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=Rserve
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libc6 (>= 2.34), libcrypt1 (>= 1:4.1.0), libssl3 (>= 3.0.0~~alpha1)
Description:  GNU R Rserve tcp/ip server and sample clients This package provide Rserve, a headless server for GNU R.  Rserve acts as a socket server (TCP/IP or local sockets) which allows binary requests to be sent to R. Every connection has a separate workspace and working directory. Client-side implementations are available for popular languages such as C/C++ and Java, allowing any application to use facilities of R without the need of linking to R code. Rserve supports remote connection, user authentication and file transfer. A simple R client is included in this package as well. . URL: http://www.rosuda.org/Rserve/
Package: r-cran-rslurm (0.6.1+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rslurm
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-whisker (>= 0.3)
Description:  Submit R Calculations to a Slurm Cluster Functions that simplify submitting R scripts to a Slurm workload manager, in part by automating the division of embarrassingly parallel calculations across cluster nodes.
Package: r-cran-rsolnp (1.16+dfsg-4build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Rsolnp
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-truncnorm
Description:  GNU R general non-linear optimization This GNU R package provides general non-linear optimization using augmented lagrange multiplier method
Package: r-cran-rspectra (0.16-0-1build2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RSpectra
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-matrix (>= 1.1-0), r-cran-rcpp (>= 0.11.5), r-cran-rcppeigen (>= 0.3.3.3.0), libblas3 | libblas.so.3, libc6 (>= 2.14), libgcc-s1 (>= 4.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Description:  GNU R solvers for large-scale eigenvalue and SVD problems This package provides a R interface to the 'Spectra' library <https://spectralib.org/> for large-scale eigenvalue and SVD problems. It is typically used to compute a few eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues, which is usually more efficient than eigen() if k << n. This package provides the 'eigs()' function that does the similar job as in 'Matlab', 'Octave', 'Python SciPy' and 'Julia'. It also provides the 'svds()' function to calculate the largest k singular values and corresponding singular vectors of a real matrix. The matrix to be computed on can be dense, sparse, or in the form of an operator defined by the user.
Package: r-cran-rsqlite (2.2.9-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RSQLite
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-bit64, r-cran-blob (>= 1.2.0), r-cran-dbi (>= 1.1.0), r-cran-memoise, r-cran-pkgconfig, r-cran-rcpp (>= 1.0.7), r-cran-plogr (>= 0.2.0), libc6 (>= 2.34), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  Database Interface R driver for SQLite This package embeds the SQLite database engine in R and provides an interface compliant with the DBI package. This package is built with the SQLite package distributed in Debian, not with the copy included in the CRAN package.
Package: r-cran-rstan (2.21.3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rstan
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-stanheaders (>= 2.21.0), r-cran-ggplot2 (>= 3.0.0), r-cran-inline, r-cran-gridextra (>= 2.0.0), r-cran-rcpp (>= 0.12.0), r-cran-rcppparallel (>= 5.0.1), r-cran-loo (>= 2.3.0), r-cran-pkgbuild, r-cran-rcppeigen (>= 0.3.3.3.0), r-cran-bh (>= 1.66.0), libc6 (>= 2.29), libgcc-s1 (>= 4.0), libstdc++6 (>= 11)
Description:  GNU R interface to Stan User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Package: r-cran-rstanarm (2.21.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rstanarm
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-rcpp (>= 0.12.0), r-cran-bayesplot (>= 1.7.0), r-cran-ggplot2 (>= 2.2.1), r-cran-lme4 (>= 1.1-8), r-cran-loo (>= 2.1.0), r-cran-matrix (>= 1.2-13), r-cran-nlme (>= 3.1-124), r-cran-rstan (>= 2.21.1), r-cran-rstantools (>= 2.1.0), r-cran-shinystan (>= 2.3.0), r-cran-survival (>= 2.40.1), r-cran-rcppparallel (>= 5.0.1), r-cran-stanheaders (>= 2.21.0), r-cran-bh (>= 1.66.0), r-cran-rcppeigen (>= 0.3.3.3.0), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9), libtbb2 (>= 2017~U7)
Description:  GNU R bayesian applied regression modeling via stan Estimates previously compiled regression models using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation. Users specify models via the customary R syntax with a formula and data.frame plus some additional arguments for priors.
Package: r-cran-rstantools (2.1.1-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rstantools
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-desc, r-cran-rcpp (>= 0.12.16), r-cran-rcppparallel (>= 5.0.1)
Description:  tools for developing GNU R packages interfacing with 'Stan' Provides various tools for developers of R packages interfacing with 'Stan' <http://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
Package: r-cran-rstatix (0.7.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rstatix
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-tidyr (>= 1.0.0), r-cran-purrr, r-cran-broom (>= 0.7.4), r-cran-rlang (>= 0.3.1), r-cran-tibble (>= 2.1.3), r-cran-dplyr (>= 0.7.1), r-cran-magrittr, r-cran-corrplot, r-cran-tidyselect (>= 1.0.0), r-cran-car, r-cran-generics (>= 0.0.2)
Description:  Pipe-Friendly Framework for Basic Statistical Tests Provides a simple and intuitive pipe-friendly framework, coherent with the 'tidyverse' design philosophy, for performing basic statistical tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses. The output of each test is automatically transformed into a tidy data frame to facilitate visualization. Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix. Functions are also included to facilitate the analysis of factorial experiments, including purely 'within-Ss' designs (repeated measures), purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs. It's also possible to compute several effect size metrics, including "eta squared" for ANOVA, "Cohen's d" for t-test and 'Cramer V' for the association between categorical variables. The package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.
Package: r-cran-rstudioapi (0.13-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rstudioapi
Depends: r-base-core (>= 4.0.3-1), r-api-4.0
Description:  GNU R package for access to the RStudio API The rstudioapi package provides access the RStudio API (if available) and provides informative error messages when it's not.
Package: r-cran-rsvd (1.0.5-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rsvd
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-matrix
Description:  Randomized Singular Value Decomposition Low-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension reduction, and data compression. Classically, highly accurate deterministic matrix algorithms are used for this task. However, the emergence of large-scale data has severely challenged our computational ability to analyze big data. The concept of randomness has been demonstrated as an effective strategy to quickly produce approximate answers to familiar problems such as the singular value decomposition (SVD). The rsvd package provides several randomized matrix algorithms such as the randomized singular value decomposition (rsvd), randomized principal component analysis (rpca), randomized robust principal component analysis (rrpca), randomized interpolative decomposition (rid), and the randomized CUR decomposition (rcur). In addition several plot functions are provided. The methods are discussed in detail by Erichson et al. (2016) <arXiv:1608.02148>.