k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-cachem (1.0.6-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cachem
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rlang, r-cran-fastmap, libc6 (>= 2.4)
Description:  cache GNU R objects with automatic pruning Key-value stores with automatic pruning. Caches can limit either their total size or the age of the oldest object (or both), automatically pruning objects to maintain the constraints.
Package: r-cran-caic4 (1.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cAIC4
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-lme4 (>= 1.1-6), r-cran-matrix, r-cran-nlme, r-cran-rlrsim, r-cran-mgcv, r-cran-mvtnorm
Description:  GNU R conditional Akaike information criterion for 'lme4' Provides functions for the estimation of the conditional Akaike information in generalized mixed-effect models fitted with (g)lmer() from 'lme4'.
Package: r-cran-cairo (1.5-14-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Cairo
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libc6 (>= 2.14), libcairo2 (>= 1.2.4), libfreetype6 (>= 2.2.1), libjpeg8 (>= 8c), libx11-6
Description:  GNU R graphics device using cairo graphics library GNUR R graphics device using cairo graphics library for creating high- quality bitmap (PNG, JPEG, TIFF), vector (PDF, SVG, PostScript) and display (X11 and Win32) output . Cairo graphics device that can be use to create high-quality vector (PDF, PostScript and SVG) and bitmap output (PNG,JPEG,TIFF), and high- quality rendering in displays (X11 and Win32). Since it uses the same back-end for all output, copying across formats is WYSIWYG. Files are created without the dependence on X11 or other external programs. This device supports alpha channel (semi-transparent drawing) and resulting images can contain transparent and semi-transparent regions. It is ideal for use in server environments (file output) and as a replacement for other devices that don't have Cairo's capabilities such as alpha support or anti-aliasing. Backends are modular such that any subset of backends is supported.
Package: r-cran-calibrate (1.7.7-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=calibrate
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-cran-mass
Description:  Calibration of Scatterplot and Biplot Axes This package provides functions for drawing calibrated scales with tick marks on (non-orthogonal) variable vectors in scatterplots and biplots.
Package: r-cran-calibratr (0.1.2-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=CalibratR
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-ggplot2, r-cran-proc, r-cran-reshape2, r-cran-foreach, r-cran-fitdistrplus, r-cran-doparallel
Description:  GNU R mapping ML scores to calibrated predictions Transforms your uncalibrated Machine Learning scores to well-calibrated prediction estimates that can be interpreted as probability estimates. The implemented BBQ (Bayes Binning in Quantiles) model is taken from Naeini (2015, ISBN:0-262-51129-0). Please cite this paper: Schwarz J and Heider D, Bioinformatics 2019, 35(14):2458-2465.
Package: r-cran-callr (3.7.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=callr
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-processx (>= 3.5.0), r-cran-r6
Description:  Call GNU R from GNU R It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This package does exactly that.
Package: r-cran-car (3.0-12-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=car
Depends: r-base-core (>= 4.1.2-1), r-api-4.0, r-cran-cardata (>= 3.0-0), r-cran-abind, r-cran-mass, r-cran-mgcv, r-cran-nnet, r-cran-pbkrtest (>= 0.4-4), r-cran-quantreg, r-cran-maptools, r-cran-lme4 (>= 1.1-27.1), r-cran-nlme, r-cran-rio
Description:  GNU R Companion to Applied Regression by John Fox This package accompanies J. Fox, An R and S-PLUS Companion to Applied Regression, Sage, 2002. The package contains mostly functions for applied regression, linear models, and generalized linear models, with an emphasis on regression diagnostics, particularly graphical diagnostic methods. There are also some utility functions.
Package: r-cran-cardata (3.0.5-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=carData
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  GNU R package for datasets for Companion to Applied Regression The cardata package provides datasets to accompany J. Fox and S. Weisberg,  An R Companion to Applied Regression, Third Edition, Sage (forthcoming).
Package: r-cran-caret (6.0-90+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=caret
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-ggplot2, r-cran-lattice (>= 0.20), r-cran-e1071, r-cran-foreach, r-cran-modelmetrics (>= 1.2.2.2), r-cran-nlme, r-cran-plyr, r-cran-proc, r-cran-recipes (>= 0.1.10), r-cran-reshape2, r-cran-withr (>= 2.0.0), libc6 (>= 2.4)
Description:  GNU R package for classification and regression training This GNU R package provides misc functions for training and plotting classification and regression models.
Package: r-cran-catools (1.18.2-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=caTools
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-bitops, libc6 (>= 2.14), libstdc++6 (>= 4.1.1)
Description:  GNU R package providing various utility functions The packages features several basic utility functions including: moving (rolling, running) window statistic functions, read/write for GIF and ENVI binary files, fast calculation of AUC, LogitBoost classifier, base64 encoder/decoder, round-off error free sum and cumsum, etc. . This package of R programming tools for plotting data was written by Jarek Tuszynski.
Package: r-cran-cba (0.2-21-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cba
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-proxy, libc6 (>= 2.14)
Description:  GNU R clustering for business analytics Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.
Package: r-cran-cellranger (1.1.0-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cellranger
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rematch, r-cran-tibble
Description:  GNU R package to map spreadsheet cell ranges to rows and columns This package helps to work with spreadsheets and their "A1:D10" style of cell range specification.
Package: r-cran-cgdsr (1.3.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cgdsr
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-r.oo, r-cran-r.methodss3, r-cran-httr
Description:  GNU R API for the MSKCC cancer genomics data server (CGDS) Provides a basic set of R functions for querying the Cancer Genomics Data Server (CGDS), hosted by the Computational Biology Center at Memorial-Sloan-Kettering Cancer Center (MSKCC) at <www.cbioportal.org>.
Package: r-cran-checkmate (2.0.0-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=checkmate
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-backports (>= 1.1.0), libc6 (>= 2.4)
Description:  GNU R fast and versatile argument checks This GNU R package tests and assertions to perform frequent argument checks. A substantial part of the package was written in C to minimize any worries about execution time overhead.
Package: r-cran-chron (2.3-56-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=chron
Depends: libc6 (>= 2.4), r-base-core (>= 4.0.2-1build1), r-api-4.0
Description:  GNU R package for chronologically ordered objects This package contains function for chronologically ordered objects to handle dates and time in GNU R.
Package: r-cran-circlize (0.4.14-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=circlize
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-globaloptions (>= 0.1.2), r-cran-shape, r-cran-colorspace
Description:  Circular Visualization Circular layout is an efficient way for the visualization of huge amounts of information. Here this package provides an implementation of circular layout generation in R as well as an enhancement of available software. The flexibility of the package is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by users for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, it gives users more convenience and freedom to design figures for better understanding complex patterns behind multiple dimensional data.
Package: r-cran-circular (0.4-93-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=circular
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-boot, r-cran-mvtnorm, libc6 (>= 2.29)
Description:  GNU R Circular Statistics Circular Statistics, from "Topics in circular Statistics" (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.
Package: r-cran-class (7.3-20-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=class
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-mass, libc6 (>= 2.4)
Description:  GNU R package for classification The class package provides functions and datasets to support chapter 12 on 'Classification' in the book 'Modern Applied Statistics with S' (4th edition) by W.N. Venables and B.D. Ripley. The following URL provides more details about the book: URL: http://www.stats.ox.ac.uk/pub/MASS4
Package: r-cran-classint (0.4-3-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=classInt
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-e1071, r-cran-class, r-cran-kernsmooth
Description:  GNU R Choose Univariate Class Intervals This package provides selected commonly used methods for choosing univariate class intervals for mapping or other graphics purposes for GNU R.
Package: r-cran-cli (3.2.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cli
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-glue (>= 1.6.0), libc6 (>= 2.34)
Description:  GNU R helpers for developing command line interfaces A suite of tools designed to build attractive command line interfaces ('CLIs'). Includes tools for drawing rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives.
Package: r-cran-cliapp (0.1.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cliapp
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-fansi, r-cran-glue (>= 1.3.0), r-cran-prettycode, r-cran-progress (>= 1.2.0), r-cran-r6, r-cran-selectr, r-cran-withr, r-cran-xml2
Description:  create rich command line applications in GNU R This GNU R package enables to create rich command line applications, with colors, headings, lists, alerts, progress bars, etc. It uses CSS for custom themes.
Package: r-cran-clipr (0.8.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=clipr
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0
Description:  Read and Write from the System Clipboard Simple utility functions to read from and write to the Windows, OS X, and X11 clipboards.
Package: r-cran-clisymbols (1.2.0-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=clisymbols
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  Unicode Symbols at the R Prompt A small subset of Unicode symbols, that are useful when building command line applications. They fall back to alternatives on terminals that do not support Unicode. Many symbols were taken from the 'figures' 'npm' package (see <https://github.com/sindresorhus/figures>).
Package: r-cran-clubsandwich (0.5.5-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=clubSandwich
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-sandwich
Description:  GNU R cluster-robust (Sandwich) variance estimators with small-sample Corrections Provides several cluster-robust variance estimators (i.e., sandwich estimators) for ordinary and weighted least squares linear regression models, including the bias-reduced linearization estimator introduced by Bell and McCaffrey (2002) <http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf> and developed further by Pustejovsky and Tipton (2017) <DOI:10.1080/07350015.2016.1247004>. The package includes functions for estimating the variance- covariance matrix and for testing single- and multiple- contrast hypotheses based on Wald test statistics. Tests of single regression coefficients use Satterthwaite or saddle-point corrections. Tests of multiple-contrast hypotheses use an approximation to Hotelling's T-squared distribution. Methods are provided for a variety of fitted models, including lm() and mlm objects, glm(), ivreg() (from package 'AER'), plm() (from package 'plm'), gls() and lme() (from 'nlme'), robu() (from 'robumeta'), and rma.uni() and rma.mv() (from 'metafor').
Package: r-cran-clue (0.3-60-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=clue
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-cluster, libc6 (>= 2.14)
Description:  GNU R cluster ensembles Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications.  The R package~\pkg{clue} provides an extensible computational environment for creating and analyzing cluster ensembles, with basic data structures for representing partitions and hierarchies, and facilities for computing on these, including methods for measuring proximity and obtaining consensus and 'secondary' clusterings.
Package: r-cran-cluster (2.1.2-2)
Section: universe/math
Homepage: https://cran.r-project.org/package=cluster
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.29)
Description:  GNU R package for cluster analysis by Rousseeuw et al This package provides functions and datasets for cluster analysis originally written by Peter Rousseeuw, Anja Struyf and Mia Hubert. . This package is part of the set of packages that are 'recommended' by R Core and shipped with upstream source releases of R itself.
Package: r-cran-clustergeneration (1.3.7-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=clusterGeneration
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-mass
Description:  GNU R random cluster generation (with specified degree of separation) The GNU R package clusterGeneration provides functions for generating random clusters, generating random covariance/correlation matrices, calculating a separation index (data and population version) for pairs of clusters or cluster distributions, and 1-D and 2-D projection plots to visualize clusters.  The package also contains a function to generate random clusters based on factorial designs with factors such as degree of separation, number of clusters, number of variables, number of noisy variables.
Package: r-cran-cmprsk (2.2-11-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cmprsk
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-survival, libc6 (>= 2.29)
Description:  GNU R subdistribution analysis of competing risks This GNU R package supports estimation, testing and regression modeling of subdistribution functions in competing risks, as described in Gray (1988), A class of K-sample tests for comparing the cumulative incidence of a competing risk.
Package: r-cran-cmstatr (0.9.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=cmstatr
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-dplyr, r-cran-generics, r-cran-ggplot2, r-cran-ksamples, r-cran-mass, r-cran-purrr, r-cran-rlang, r-cran-tibble
Description:  GNU R Statistical Methods for Composite Material Data An implementation of the statistical methods commonly used for advanced composite materials in aerospace applications. This package focuses on calculating basis values (lower tolerance bounds) for material strength properties, as well as performing the associated diagnostic tests. This package provides functions for calculating basis values assuming several different distributions, as well as providing functions for non-parametric methods of computing basis values. Functions are also provided for testing the hypothesis that there is no difference between strength and modulus data from an alternate sample and that from a "qualification" or "baseline" sample. For a discussion of these statistical methods and their use, see the Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4). Additional details about this package are available in the paper by Kloppenborg (2020, <doi:10.21105/joss.02265>).
Package: r-cran-coarsedatatools (0.6-6+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=coarseDataTools
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-mcmcpack
Description:  GNU R analysis of coarsely observed data Functions to analyze coarse data. Specifically, it contains functions to (1) fit parametric accelerated failure time models to interval-censored survival time data, and (2) estimate the case-fatality ratio in scenarios with under-reporting. This package's development was motivated by applications to infectious disease: in particular, problems with estimating the incubation period and the case fatality ratio of a given disease.  Sample data files are included in the package. See Reich et al. (2009) <doi:10.1002/sim.3659>, Reich et al. (2012) <doi:10.1111/j.1541-0420.2011.01709.x>, and Lessler et al. (2009) <doi:10.1016/S1473-3099(09)70069-6>.
Package: r-cran-coda (0.19-4-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=coda
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-lattice
Description:  Output analysis and diagnostics for MCMC simulations in R This package provides output analysis and diagnostics for Markov Chain Monte Carlo simulations and estimations within R.  It also includes some graphical analysis routines and a facility for importing output from BUGS (Bayes Using Gibbs Sampling), a popular tool for running MCMC simulations. . The related r-cran-mcmcpack package includes MCMC estimators for some common models in the social sciences.
Package: r-cran-codetools (0.2-18-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=codetools
Depends: r-base-core (>= 4.0.3-1), r-api-4.0
Description:  GNU R package providing code analysis tools This package provides functions for code analysis for R. . This package is part of the set of packages that are 'recommended' by R Core and shipped with upstream source releases of R itself.
Package: r-cran-coin (1.4-2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=coin
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-survival, r-cran-libcoin (>= 1.0-9), r-cran-matrixstats (>= 0.54.0), r-cran-modeltools (>= 0.2-9), r-cran-mvtnorm (>= 1.0-5), r-cran-multcomp, libc6 (>= 2.2.5)
Description:  GNU R package providing conditional inference procedures The r-cran-coin package is a GNU R package providing conditional inference procedures for the general independence problem including two- sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems.
Package: r-cran-collapse (1.7.6-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=collapse
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-rcpp (>= 1.0.1), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Description:  GNU R advanced and fast data transformation A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, flexible and parsimonious to code with, class-agnostic and programmer friendly. It is well integrated with base R, 'dplyr' / (grouped) 'tibble', 'data.table', 'plm' (panel-series and data frames), 'sf' data frames, and non-destructively handles other matrix or data frame based classes (such as 'ts', 'xts' / 'zoo', 'timeSeries', 'tsibble', 'tibbletime' etc.) --- Key Features: --- (1) Advanced statistical programming: A full set of fast statistical     functions supporting grouped and weighted computations on vectors,     matrices and data frames. Fast and programmable grouping, ordering,     unique values / rows, factor generation and interactions. Fast and     flexible functions for data manipulation and data object     conversions. (2) Advanced aggregation: Fast and easy multi-data-type, multi-function,     weighted, parallelized and fully customized data aggregation. (3) Advanced transformations: Fast row / column arithmetic, (grouped)     replacing and sweeping out of statistics, (grouped, weighted)     scaling / standardizing, between (averaging) and (quasi-)within     (centering / demeaning) transformations, higher-dimensional     centering (i.e. multiple fixed effects transformations), linear     prediction / partialling-out, linear model fitting and testing. (4) Advanced time-computations: Fast (sequences of) lags / leads, and     (lagged / leaded, iterated, quasi-, log-) differences, (compounded)     growth rates, and cumulative sums on (unordered, irregular) time     series and panel data. Multivariate auto-, partial- and cross-     correlation functions for panel data. Panel data to (ts-)array     conversions. (5) List processing: (Recursive) list search / identification,     splitting, extraction / subsetting, data-apply, and generalized     recursive row-binding / unlisting in 2D. (6) Advanced data exploration: Fast (grouped, weighted, panel-     decomposed) summary statistics for complex multilevel / panel data.
Package: r-cran-colorspace (2.0-2+dfsg-1)
Section: universe/science
Homepage: https://cran.r-project.org/package=colorspace
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.4)
Description:  GNU R Color Space Manipulation Carries out mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB and polar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided.
Package: r-cran-colourpicker (1.1.1+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=colourpicker
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-ggplot2, r-cran-htmltools, r-cran-htmlwidgets (>= 0.7), r-cran-jsonlite, r-cran-miniui (>= 0.1.1), r-cran-shiny (>= 0.11.1), r-cran-shinyjs (>= 2.0.0), libjs-jquery
Description:  GNU R colour picker tool for selecting colours in plots This GNU R colour picker can be used as an input in Shiny apps or Rmarkdown documents. The colour picker supports alpha opacity, custom colour palettes, and many more options. A Plot Colour Helper tool is available as an RStudio Addin, which helps you pick colours to use in your plots. A more generic Colour Picker RStudio Addin is also provided to let you select colours to use in your R code.
Package: r-cran-combinat (0.0-8-7build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=combinat
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package with utilities for combinatorics The R library provides routines for combinatorics.
Package: r-cran-commonmark (1.7-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=commonmark
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.14)
Description:  high performance CommonMark and Github markdown rendering in R The CommonMark specification defines a rationalized version of markdown syntax. This package uses the 'cmark' reference implementation for converting markdown text into various formats including html, LaTeX and groff man. In addition it exposes the markdown parse tree in xml format. The latest version of this package also adds support for Github extensions including tables, autolinks and strikethrough text.