k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-ellipse (0.4.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ellipse
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0
Description:  GNU R functions for drawing ellipses and ellipse-like confidence regions This package contains various routines for drawing ellipses and ellipse- like confidence regions, implementing the plots described in Murdoch and Chow (1996). There are also routines implementing the profile plots described in Bates and Watts (1988), Nonlinear Regression Analysis and its Applications.
Package: r-cran-ellipsis (0.3.2-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ellipsis
Depends: libc6 (>= 2.4), r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rlang (>= 0.3.0)
Description:  GNU R package for working with ... (variable arguments) The package offers a generic method that warns when arguments passed via the ... argument are silently ignored.
Package: r-cran-elliptic (1.4-0-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=elliptic
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass
Description:  GNU R package providing elliptic and related functions The elliptic package is a GNU R package providing a suite of elliptic and related functions including Weierstrass and Jacobi forms. Also includes various tools for manipulating and visualizing complex functions.
Package: r-cran-emayili (0.7.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=emayili
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-base64enc, r-cran-commonmark, r-cran-curl (>= 4.0), r-cran-digest, r-cran-dplyr, r-cran-glue, r-cran-htmltools, r-cran-httr, r-cran-logger, r-cran-magrittr, r-cran-mime, r-cran-purrr, r-cran-rmarkdown, r-cran-stringi, r-cran-stringr, r-cran-tidyr, r-cran-urltools, r-cran-vctrs, r-cran-xfun, r-cran-xml2
Description:  Send email messages via GNU R This package provides a light, simple tool for sending emails with minimal dependencies in GNU R.
Package: r-cran-emdbook (1.3.12+ds-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=emdbook
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-mass, r-cran-lattice, r-cran-plyr, r-cran-coda, r-cran-bbmle
Description:  Support Functions and Data for "Ecological Models and Data" Auxiliary functions and data sets for "Ecological Models and Data", a book presenting maximum likelihood estimation and related topics for ecologists (ISBN 978-0-691-12522-0).
Package: r-cran-emmeans (1.7.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=emmeans
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-estimability (>= 1.3), r-cran-numderiv, r-cran-mvtnorm, r-cran-xtable (>= 1.8-2)
Description:  GNU R estimated marginal means, aka least-squares means Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and compact letter displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Package: r-cran-emoa (0.5-0.1-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=emoa
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.14)
Description:  GNU R evolutionary multiobjective optimization algorithms This GNU R package contains a collection of building blocks for the design and analysis of evolutionary multiobjective optimization algorithms.
Package: r-cran-energy (1.7-9-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=energy
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcpp (>= 0.12.6), r-cran-boot, r-cran-gsl
Description:  GNU R package for energy statistics for distribution comparison The energy package implements E-statistics (energy) tests and statistics for comparing distributions: multivariate normality, multivariate distance components and k-sample test for equal distributions, hierarchical clustering by e-distances, multivariate independence tests, distance correlation, goodness-of-fit tests. Energy-statistics concept based on a generalization of Newton's potential energy is due to Gabor J. Szekely.
Package: r-cran-epi (2.44-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Epi
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-cmprsk, r-cran-etm, r-cran-mass, r-cran-survival, r-cran-purrr, r-cran-plyr, r-cran-dplyr, r-cran-matrix, r-cran-numderiv, r-cran-data.table, r-cran-zoo, r-cran-mgcv, libc6 (>= 2.4)
Description:  GNU R epidemiological analysis Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data, including interval censored data and representation of multistate data. Also some useful functions for tabulation and plotting. Contains some epidemiological datasets. . The Epi package is mainly focused on "classical" chronic disease epidemiology. The package has grown out of the course Statistical Practice in Epidemiology using R (see http://www.pubhealth.ku.dk/~bxc/SPE). . There is A short introduction to R for Epidemiology available at http://staff.pubhealth.ku.dk/%7Ebxc/Epi/R-intro.pdf Beware that the pages 38-120 of this is merely the manual pages for the Epi package. . Epi is not the only R-package for epidemiological analysis, a package with more affinity to infectious disease epidemiology is the epitools package which is also evailable in Debian. . Epi is used in the Department of Biostatistics of the University of Copenhagen.
Package: r-cran-epibasix (1.5-2build1)
Section: universe/science
Homepage: https://cran.r-project.org/package=epibasix
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R Elementary Epidemiological Functions Elementary Epidemiological Functions for a Graduate Epidemiology / Biostatistics Course. . This package contains elementary tools for analysis of common epidemiological problems, ranging from sample size estimation, through 2x2 contingency table analysis and basic measures of agreement (kappa, sensitivity/specificity). Appropriate print and summary statements are also written to facilitate interpretation wherever possible. This package is a work in progress, so any comments or suggestions would be appreciated. Source code is commented throughout to facilitate modification. The target audience includes graduate students in various epi/biostatistics courses. . Epibasix was developed in Canada.
Package: r-cran-epicalc (2.15.1.0-5build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=epicalc
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-foreign, r-cran-survival, r-cran-mass, r-cran-nnet
Description:  GNU R Epidemiological calculator Functions making R easy for epidemiological calculation. . Datasets from Dbase (.dbf), Stata (.dta), SPSS(.sav), EpiInfo(.rec) and Comma separated value (.csv) formats as well as R data frames can be processed to do make several epidemiological calculations.
Package: r-cran-epiestim (2.2-4+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=EpiEstim
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-coarsedatatools (>= 0.6-4), r-cran-reshape2, r-cran-ggplot2, r-cran-gridextra, r-cran-fitdistrplus, r-cran-coda, r-cran-incidence (>= 1.7.0), r-cran-scales
Description:  GNU R estimate time varying reproduction numbers from rpidemic curves Tools to quantify transmissibility throughout an epidemic from the analysis of time series of incidence as described in Cori et al. (2013) <doi:10.1093/aje/kwt133> and Wallinga and Teunis (2004) <doi:10.1093/aje/kwh255>.
Package: r-cran-epir (2.0.41-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=epiR
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-survival, r-cran-biasedurn, r-cran-pander, r-cran-sf, r-cran-lubridate
Description:  GNU R Functions for analysing epidemiological data A package for analysing epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.
Package: r-cran-epitools (1:0.5-10.1-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=epitools
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R Epidemiology Tools for Data and Graphics GNU R Tools for public health epidemiologists and data analysts. Epitools provides numerical tools and programming solutions that have been used and tested in real-world epidemiologic applications. . Many practical problems in the analysis of public health data require programming or special software, and investigators in different locations may duplicate programming efforts. Often, simple analyses, such as the construction of confidence intervals, are not calculated and thereby complicate appropriate statistical inferences for small geographic areas. There are many examples of simple and useful numerical tools that would enhance the work of epidemiologists at local health departments and yet are not readily available for the problem in front of them. The availability of these tools will encourage wider use of appropriate methods and promote evidence-based public health practices.
Package: r-cran-erm (1.0-2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=eRm
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-lattice, r-cran-colorspace, r-cran-psych, libc6 (>= 2.14), libgfortran5 (>= 10)
Description:  GNU R package for 'extended Rasch modelling' eRm fits Rasch models (RM), linear logistic test models (LLTM), rating scale model (RSM), linear rating scale models (LRSM), partial credit models (PCM), and linear partial credit models (LPCM). Missing values are allowed in the data matrix. Additional features are the ML estimation of the person parameters, Andersen's LR-test, item-specific Wald test, itemfit and personfit statistics including infit and outfit measures, various ICC and related plots, automated stepwise item elimination, simulation module for various binary data matrices. An eRm platform is provided at R-forge (see URL).
Package: r-cran-estimability (1.3-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=estimability
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package providing tools for determining estimability of linear functions The estimability package is a GNU R package providing tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly.
Package: r-cran-etm (1.1.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=etm
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-survival, r-cran-lattice, r-cran-data.table, r-cran-rcpp (>= 0.11.4), r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Description:  GNU R empirical transition matrix This GNU R package provides matrix of transition probabilities for any time-inhomogeneous multistate model with finite state space.
Package: r-cran-evaluate (0.15-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=evaluate
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0
Description:  GNU R parsing and evaluation tools Parsing and evaluation tools that provide more details than the default to make it easy to recreate the command line behaviour of R.
Package: r-cran-evd (2.3-3-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=evd
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.2.5)
Description:  GNU R Functions for extreme value distributions Extends simulation, distribution, quantile and density functions to univariate and multivariate parametric extreme value distributions, and provides fitting functions which calculate maximum likelihood estimates for univariate and bivariate maxima models, and for univariate and bivariate threshold models.
Package: r-cran-exactranktests (0.8-34-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=exactRankTests
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R exact distributions for rank and permutation tests This GNU R package provides functions to compute exact conditional p-values and quantiles using an implementation of the Shift-Algorithm by Streitberg & Roehmel.
Package: r-cran-expint (0.1-6-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=expint
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.2.5)
Description:  GNU R exponential integral and incomplete Gamma function The exponential integrals E_1(x), E_2(x), E_n(x) and Ei(x), and the incomplete gamma function G(a, x) defined for negative values of its first argument. The package also gives easy access to the underlying C routines through an API; see the package vignette for details. A test package included in sub-directory example_API provides an implementation. C routines derived from the GNU Scientific Library <https://www.gnu.org/software/gsl/>.
Package: r-cran-expm (0.999-6-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=expm
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-matrix, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Description:  GNU R Computation of the matrix exponential and related quantities The matrix exponential GNU R package enables computation of the matrix exponential and related quantities.
Package: r-cran-extradistr (1.9.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=extraDistr
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-rcpp, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  additional univariate and multivariate distributions for GNU R Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions. This package implements the following distributions: Bernoulli, beta-binomial, beta- negative binomial, beta prime, Bhattacharjee, Birnbaum-Saunders, bivariate normal, bivariate Poisson, categorical, Dirichlet, Dirichlet- multinomial, discrete gamma, discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz, generalized Pareto, Gumbel, half-Cauchy, half- normal, half-t, Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy, Laplace, location-scale t, logarithmic, Lomax, multivariate hypergeometric, multinomial, negative hypergeometric, non- standard beta, normal mixture, Poisson mixture, Pareto, power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam, slash, triangular, truncated binomial, truncated normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zero-inflated negative binomial, zero-inflated Poisson.
Package: r-cran-factoextra (1.0.7-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=factoextra
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-ggplot2 (>= 2.2.0), r-cran-abind, r-cran-cluster, r-cran-dendextend, r-cran-factominer, r-cran-ggpubr (>= 0.1.5), r-cran-reshape2, r-cran-ggrepel, r-cran-tidyr
Description:  GNU R extract and visualize multivariate data analyses Provides some easy-to-use functions to extract and visualize the output of multivariate data analyses, including 'PCA' (Principal Component Analysis), 'CA' (Correspondence Analysis), 'MCA' (Multiple Correspondence Analysis), 'FAMD' (Factor Analysis of Mixed Data), 'MFA' (Multiple Factor Analysis) and 'HMFA' (Hierarchical Multiple Factor Analysis) functions from different R packages. It contains also functions for simplifying some clustering analysis steps and provides 'ggplot2' - based elegant data visualization.
Package: r-cran-factominer (2.4-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=FactoMineR
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-car, r-cran-cluster, r-cran-dt, r-cran-ellipse, r-cran-flashclust, r-cran-lattice, r-cran-leaps, r-cran-mass, r-cran-scatterplot3d, r-cran-ggplot2, r-cran-ggrepel
Description:  Multivariate Exploratory Data Analysis and Data Mining Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis.
Package: r-cran-fail (1.3-4build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fail
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-bbmisc, r-cran-checkmate
Description:  GNU R File Abstraction Interface Layer (FAIL) mimicking a key-value store This package provides a File Abstraction Interface Layer (FAIL) mimicking a key-value store.  It is a more comfortable interface to work with a directory of R data or source files.
Package: r-cran-fancova (0.6-1-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fANCOVA
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R nonparametric analysis of covariance A collection of R functions to perform nonparametric analysis of covariance for regression curves or surfaces. Testing the equality or parallelism of nonparametric curves or surfaces is equivalent to analysis of variance (ANOVA) or analysis of covariance (ANCOVA) for one-sample functional data. Three different testing methods are available in the package, including one based on L-2 distance, one based on an ANOVA statistic, and one based on variance estimators.
Package: r-cran-fansi (1.0.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fansi
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libc6 (>= 2.14)
Description:  GNU R ANSI control sequence aware string functions This GNU R package Counterparts to R string manipulation functions that account for the effects of ANSI text formatting control sequences.
Package: r-cran-farver (2.1.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=farver
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.29), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11)
Description:  GNU R high performance colour space manipulation The encoding of colour can be handled in many different ways, using different colour spaces. As different colour spaces have different uses, efficient conversion between these representations are important. The 'farver' package provides a set of functions that gives access to very fast colour space conversion and comparisons implemented in C++, and offers speed improvements over the 'convertColor' function in the 'grDevices' package.
Package: r-cran-fasianoptions (3042.82-1build2)
Section: universe/math
Homepage: http://www.Rmetrics.org
Depends: libc6 (>= 2.29), r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-foptions (>= 270.74), r-cran-fbasics (>= 2160.81-2)
Description:  GNU R package for financial engineering -- fAsianOptions This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fAsianOptions provides functions to price and hedge 'asian' (i.e. averaging) options on one or several assets.
Package: r-cran-fassets (3042.84-1build2)
Section: universe/math
Homepage: http://www.Rmetrics.org
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-sn, r-cran-mass, r-cran-robustbase, r-cran-timedate, r-cran-timeseries, r-cran-fbasics (>= 290.76), r-cran-fmultivar, r-cran-ecodist, r-cran-mvnormtest, r-cran-energy
Description:  GNU R package for financial engineering -- fAssets This package provides functions for modelling and selection of financial assets is part of Rmetrics, a collection of packages for financial engineering and computational finance written and compiled by Diethelm Wuertz and others. . fAssets provides asset selection and modelling functions.
Package: r-cran-fastcluster (1.2.3-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fastcluster
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5)
Description:  Fast hierarchical clustering routines for GNU R Fastcluster implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: “linkage” in the SciPy package “scipy.cluster.hierarchy”, “hclust” in R's “stats” package, and the “flashClust” package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the Python files, see the file INSTALL in the source distribution.
Package: r-cran-fastica (1.2-3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fastICA
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3, r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R package for ICA and Projection Pursuit The package provides an implementation of the FastICA algorithm to perform Independent Component Analysis (ICA) and Projection Pursuit.
Package: r-cran-fastmap (1.1.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fastmap
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R fast implementation of a key-value store Fast implementation of a key-value store. Environments are commonly used as key-value stores, but every time a new key is used, it is added to R's global symbol table, causing a small amount of memory leakage. This can be problematic in cases where many different keys are used. Fastmap avoids this memory leak issue by implementing the map using data structures in C++.
Package: r-cran-fastmatch (1.1-3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fastmatch
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.14)
Description:  GNU R package for fast match replacement for repeated look-ups This R package provides a fast match replacement for cases that require repeated look-ups. Extremely fast after the first lookup match as it keeps the hash table in memory.
Package: r-cran-fauxpas (0.5.0+dfsg-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fauxpas
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-r6 (>= 2.1.2), r-cran-httpcode (>= 0.3.0), r-cran-whisker
Description:  GNU R HTTP error helpers HTTP error helpers. Methods included for general purpose HTTP error handling, as well as individual methods for every HTTP status code, both via status code numbers as well as their descriptive names. Supports ability to adjust behavior to stop, message or warning. Includes ability to use custom whisker template to have any configuration of status code, short description, and verbose message. Currently supports integration with 'crul', 'curl', and 'httr'.