k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-mnp (3.1-2-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=MNP
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-mass, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Description:  GNU R package for fitting multinomial probit (MNP) models MNP is an R package that fits Bayesian Multinomial Probit (MNP) models via Markov chain Monte Carlo (MCMC).  Along with the standard multinomial probit model, it can also fit models with different choice sets for each observation and complete or partial ordering of all the available alternatives.  The estimation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2004).
Package: r-cran-mockery (0.4.3+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=mockery
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-testthat
Description:  mocking library for GNU R The two main functionalities of this package are creating mock objects (functions) and selectively intercepting calls to a given function that originate in some other function. It can be used with any testing framework available for R. Mock objects can be injected with either this package's own stub() function or a similar with_mock() facility present in the testthat package.
Package: r-cran-mockr (0.1-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=mockr
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-lazyeval
Description:  mocking in GNU R Provides a means to mock a package function, i.e., temporarily substitute it for testing. Designed as a drop-in replacement for 'testthat::with_mock()', which may break in R 3.4.0 and later.
Package: r-cran-modeest (2.4.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=modeest
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-fbasics, r-cran-stable, r-cran-stabledist, r-cran-statip (>= 0.2.3)
Description:  GNU R mode estimation Provides estimators of the mode of univariate data or univariate distributions.
Package: r-cran-modeldata (0.1.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=modeldata
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  Data Sets Used Useful for Modeling Packages Data sets used for demonstrating or testing model-related packages are contained in this package.
Package: r-cran-modelmetrics (1.2.2.2-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ModelMetrics
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp, r-cran-data.table, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R Rapid Calculation of Model Metrics This GNU R package provides a collection of metrics for evaluating models written in C++ using 'Rcpp'.
Package: r-cran-modelr (0.1.8-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=modelr
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-broom, r-cran-magrittr, r-cran-purrr (>= 0.2.2), r-cran-rlang (>= 0.2.0), r-cran-tibble, r-cran-tidyr (>= 0.8.0), r-cran-tidyselect, r-cran-vctrs
Description:  GNU R modelling functions that work with the pipe This package provides GNU R functions for modelling that help you seamlessly integrate modelling into a pipeline of data manipulation and visualisation.
Package: r-cran-modeltools (0.2-23-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=modeltools
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package providing a collection of tools to deal with statistical models The r-cran-modeltools package is a GNU R package providing a collection of tools to deal with statistical models.
Package: r-cran-mpoly (1.1.1-2)
Section: universe/gnu-r
Homepage: https://github.com/dkahle/mpoly
Depends: r-base-core (>= 4.1.2-1), r-api-4.0, r-cran-stringr (>= 1.0.0), r-cran-stringi, r-cran-partitions, r-cran-plyr, r-cran-ggplot2, r-cran-polynom, r-cran-orthopolynom, r-cran-tidyr
Description:  symbolic computing with multivariate polynomials in R mpoly is a simple collection of tools to help deal with multivariate polynomials symbolically and functionally in R.  Features include term ordering, creating vectors of polynomials, extracting pieces of polynomials, arithmetic, derivatives, evaluation, homogenization and dehomogenization, and many special polynomials.
Package: r-cran-msm (1.6.9-1)
Section: universe/science
Homepage: https://cran.r-project.org/package=msm
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-survival, r-cran-mvtnorm, r-cran-expm, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Description:  GNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
Package: r-cran-multcomp (1.4-18-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=multcomp
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-mvtnorm (>= 1.0-10), r-cran-survival (>= 2.39-4), r-cran-th.data (>= 1.0-7-2), r-cran-sandwich (>= 2.3-0), r-cran-codetools
Description:  GNU R package for multiple comparison procedures This package provides functions to perform multiple comparison tests and simultaneous confidence intervals in one-way layout testing setups.
Package: r-cran-multcompview (0.1-8-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=multcompView
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R visualizations of paired comparisons Convert a logical vector or a vector of p-values or a correlation, difference, or distance matrix into a display identifying the pairs for which the differences were not significantly different. Designed for use in conjunction with the output of functions like TukeyHSD, dist{stats}, simint, simtest, csimint, csimtest{multcomp}, friedmanmc, kruskalmc{pgirmess}.
Package: r-cran-multicool (0.1-12-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=multicool
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rcpp (>= 0.11.2), libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11)
Description:  GNU R permutations of multisets in Cool-Lex order A set of tools to permute multisets without loops or hash tables and to generate integer partitions. The permutation functions are based on C code from Aaron Williams. Cool-lex order is similar to colexicographical order. The algorithm is described in Williams, A. Loopless Generation of Multiset Permutations by Prefix Shifts. SODA 2009, Symposium on Discrete Algorithms, New York, United States. The permutation code is distributed without restrictions. The code for stable and efficient computation of multinomial coefficients comes from Dave Barber. The code can be download from <http://tamivox.org/dave/multinomial/index.html> and is distributed without conditions. The package also generates the integer partitions of a positive, non-zero integer n. The C++ code for this is based on Python code from Jerome Kelleher which can be found here <http://jeromekelleher.net/category/combinatorics.html>. The C++ code and Python code are distributed without conditions.
Package: r-cran-multidimbio (1.2.2-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=multiDimBio
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-ggplot2 (>= 3.2.0), r-cran-lme4 (>= 1.1-21), r-bioc-pcamethods (>= 1.76.0), r-cran-misc3d (>= 0.8-4), r-cran-mass (>= 7.3-29), r-cran-rcolorbrewer (>= 1.1-2), r-cran-gridgraphics (>= 0.1-5)
Description:  GNU R multivariate analysis and visualization for biological data Code to support a systems biology research program from inception through publication. The methods focus on dimension reduction approaches to detect patterns in complex, multivariate experimental data and places an emphasis on informative visualizations. The goal for this project is to create a package that will evolve over time, thereby remaining relevant and reflective of current methods and techniques.
Package: r-cran-multilevel (2.6-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=multilevel
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-nlme, r-cran-mass
Description:  GNU R multilevel functions for applied psychology The functions in this package are designed to be used in the analysis of multilevel data by applied psychologists. The package includes functions for estimating common within-group agreement and reliability indices. The package also contains basic data manipulation functions that facilitate the analysis of multilevel and longitudinal data.
Package: r-cran-munsell (0.5.0-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=munsell
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-colorspace
Description:  Utilities for using Munsell colors Provides easy access to, and manipulation of, the Munsell colors. Provides a mapping between Munsell's original notation (e.g., "5R 5/10") and hexadecimal strings suitable for use directly in R graphics. Also provides utilities to explore slices through the Munsell color tree, to transform Munsell colors and display color palettes.
Package: r-cran-mutoss (0.1-12-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=mutoss
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mvtnorm, r-cran-plotrix, r-bioc-multtest (>= 2.2.0), r-cran-multcomp (>= 1.1-0)
Description:  GNU R unified multiple testing procedures Designed to ease the application and comparison of multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods are standardized and usable by the accompanying 'mutossGUI'.
Package: r-cran-mvnfast (0.2.7+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=mvnfast
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rcpp (>= 0.12.0), r-cran-rcpparmadillo, r-cran-bh, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.3.1), libgomp1 (>= 4.9), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Description:  GNU R fast multivariate normal and student's t methods Provides computationally efficient tools related to the multivariate normal and Student's t distributions. The main functionalities are: simulating multivariate random vectors, evaluating multivariate normal or Student's t densities and Mahalanobis distances. These tools are very efficient thanks to the use of C++ code and of the OpenMP API.
Package: r-cran-mvnormtest (0.1-9-1build3)
Section: universe/gnu-r
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package for multivariate normality test The mvnormtest package provides a generalization of the Shapiro-Wilk test for multivariate variables.
Package: r-cran-mvtnorm (1.1-3-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=mvtnorm
Depends: libc6 (>= 2.29), r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R package to compute multivariate Normal and T distributions This package provides a collection of functions to compute the multivariate Normal and T distributions.
Package: r-cran-nanotime (0.3.5-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=nanotime
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 9), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-bit64, r-cran-rcppcctz (>= 0.2.9), r-cran-zoo, r-cran-rcpp, r-cran-rcppdate
Description:  GNU R package for nanosecond-resolution time support The package provides full 64-bit resolution date and time functionality with nanosecond granularity, with easy transition to and from the standard 'POSIXct' type. Three additional classes offer interval, period and duration functionality for nanosecond-resolution timestamps.
Package: r-cran-natserv (1.0.0+dfsg-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=natserv
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-crul (>= 0.7.0), r-cran-jsonlite, r-cran-tibble
Description:  GNU R 'NatureServe' Interface Interface to 'NatureServe' (<http://www.natureserve.org>). Includes methods to get data, image metadata, search taxonomic names, and make maps.
Package: r-cran-ncdf4 (1.19-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ncdf4
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libc6 (>= 2.14), libnetcdf19 (>= 4.0.1)
Description:  GNU R interface to Unidata netCDF format data files High-level R interface to data files written using Unidata's netCDF library (version 4 or earlier), which are binary data files that are portable across platforms and include metadata information in addition to the data sets. Using this package, netCDF files (either version 4 or "classic" version 3) can be opened and data sets read in easily. It is also easy to create new netCDF dimensions, variables, and files, in either version 3 or 4 format, and manipulate existing netCDF files.
Package: r-cran-ncdfgeom (1.1.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ncdfgeom
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rnetcdf, r-cran-ncmeta, r-cran-sf, r-cran-dplyr
Description:  GNU R NetCDF geometry and time series Ncdfgeom is intended to write spatial geometries, their attributes, and timeseries data (that would typically be stored in two or more files) into a single file. The package provides functions to read and write NetCDF-CF Discrete Sampling Geometries point and timeseries feature types as well as NetCDF-CF spatial geometries. These utilities are meant to be general, but were designed to support working with typical geospatial feature data with linked attributes and time series in NetCDF.
Package: r-cran-ncmeta (0.3.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ncmeta
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-rnetcdf, r-cran-tibble, r-cran-tidyr
Description:  GNU R Straightforward 'NetCDF' Metadata Extract metadata from 'NetCDF' data sources, these can be files, file handles or servers. This package leverages and extends the lower level functions of the 'RNetCDF' package providing a consistent set of functions that all return data frames.  There are named concepts of 'grid', 'axis' and 'source' which are all meaningful entities without formal definition in the 'NetCDF' library. 'RNetCDF' matches the library itself with only the named concepts of 'variables', 'dimensions' and 'attributes'. 'ncmeta' provides a required framework for the in-development 'tidync' project.
Package: r-cran-network (1.17.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=network
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-tibble, r-cran-magrittr, r-cran-statnet.common (>= 4.5), libc6 (>= 2.4)
Description:  Classes for Relational Data Tools to create and modify network objects. The network class can represent a range of relational data types, and supports arbitrary vertex/edge/graph attributes.
Package: r-cran-nfactors (2.4.1-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=nFactors
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-lattice, r-cran-mass, r-cran-psych
Description:  GNU R analysis and solutions to the Cattell Scree test This GNU R package provides parallel analysis and non graphical solutions to the Cattell Scree Test. . Indices, heuristics and strategies to help determine the number of factors/components to retain:   1. Acceleration factor (af with or without Parallel Analysis);   2. Optimal Coordinates (noc with or without Parallel Analysis);   3. Parallel analysis (components, factors and bootstrap);   4. lambda > mean(lambda) (Kaiser, CFA and related);   5. Cattell-Nelson-Gorsuch (CNG);   6. Zoski and Jurs multiple regression (b, t and p);   7. Zoski and Jurs standard error of the regression coeffcient (sescree);   8. Nelson R2;   9. Bartlett khi-2;  10. Anderson khi-2;  11. Lawley khi-2 and  12. Bentler-Yuan khi-2.
Package: r-cran-nleqslv (3.3.2-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=nleqslv
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Description:  GNU R package for solving systems of nonlinear equations This R package solves a system of nonlinear equations using a Broyden or a Newton method with a choice of global strategies such as line search and trust region. There are options for using a numerical or user supplied Jacobian, for specifying a banded numerical Jacobian and for allowing a singular or ill-conditioned Jacobian.
Package: r-cran-nlme (3.1.155-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=nlme
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-lattice (>= 0.12-11.1), libc6 (>= 2.29)
Description:  GNU R package for (non-)linear mixed effects models This package provides functions to fit and compare linear and non-linear mixed-effects models. . 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-nloptr (2.0.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=nloptr
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libnlopt0 (>= 2.3), libstdc++6 (>= 11), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-testthat
Description:  GNU R package for interface to NLopt The nloptr package provides an R interface to NLopt. NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms.  See http://ab-initio.mit.edu/wiki/index.php/NLopt_Introduction for more information on the available algorithms.
Package: r-cran-nlp (0.2-1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=NLP
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0
Description:  Natural Language Processing Infrastructure for R Basic classes and methods for Natural Language Processing in R.
Package: r-cran-nmf (0.23.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=NMF
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-pkgmaker (>= 0.20), r-cran-registry, r-cran-rngtools (>= 1.2.3), r-cran-cluster, r-cran-stringr (>= 1.0.0), r-cran-digest, r-cran-gridbase, r-cran-colorspace, r-cran-rcolorbrewer, r-cran-foreach, r-cran-doparallel, r-cran-ggplot2, r-cran-reshape2, r-cran-biocmanager, r-bioc-biobase, libc6 (>= 2.29)
Description:  GNU R framework to perform non-negative matrix factorization This package implements a set of previously published algorithms and seeding methods, and provides a framework to test, develop and plug new/custom algorithms.  Most of the built-in algorithms have been optimized, and the main interface function provides parallel computations on multicore machines.
Package: r-cran-nnet (7.3-17-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=nnet
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libc6 (>= 2.4)
Description:  GNU R package for feed-forward neural networks The nnet package provides functions and datasets to support feed-forward neural networks with a single hidden layer, and multinomial log-linear models, as discussed 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-nnls (1.4-3build1)
Section: universe/gnu-r
Homepage: http://cran.r-project.org/package=nnls
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.4)
Description:  GNU R package for non-negative least squares (the Lawson-Hanson algorithm) An R package to the Lawson-Hanson implementation of an algorithm for non- negative least squares (NNLS). Also allows the combination of non-negative and non-positive constraints.
Package: r-cran-nortest (1.0-4-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=nortest
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-tibble, r-cran-magrittr
Description:  GNU R package with five tests for normality The package provides five omnibus tests for testing the composite hypothesis of normality.
Package: r-cran-nozzle.r1 (1.1-1+dfsg-4build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Nozzle.R1
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libjs-jquery, libjs-jquery-tablesorter
Description:  GNU R nozzle reports The Nozzle package provides an API to generate HTML reports with dynamic user interface elements based on JavaScript and CSS (Cascading Style Sheets). Nozzle was designed to facilitate summarization and rapid browsing of complex results in data analysis pipelines where multiple analyses are performed frequently on big data sets. The package can be applied to any project where user-friendly reports need to be created.
Package: r-cran-npsurv (0.5-0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=npsurv
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-lsei
Description:  Nonparametric Survival Analysis Contains functions for non-parametric survival analysis of exact and interval-censored observations.
Package: r-cran-numderiv (2016.8-1.1-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=numDeriv
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package for accurate numerical derivatives This package provide methods for calculating (usually) accurate numerical first and second order derivatives. Accurate calculations are done using Richardson's extrapolation or, when applicable, a complex step derivative is available. A simple difference method is also provided. Simple difference is (usually) less accurate but is much quicker than Richardson's extrapolation and provides a useful cross-check.  Methods are provided for real scalar and vector valued functions.
Package: r-cran-openmx (2.20.3+dfsg-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=OpenMx
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-digest, r-cran-mass, r-cran-matrix, r-cran-rcpp, r-cran-rcppparallel, r-cran-lifecycle, r-cran-rcppeigen, r-cran-stanheaders (>= 2.10.0.2), r-cran-bh (>= 1.69.0-1), r-cran-rpf (>= 0.45), libc6 (>= 2.29), libgcc-s1 (>= 4.0), libgomp1 (>= 6), libstdc++6 (>= 12), python3
Description:  GNU R extended structural equation modelling Create structural equation models that can be manipulated programmatically. Models may be specified with matrices or paths (LISREL or RAM) Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. equations, state space, and many others. Support and advanced package binaries available at <http://openmx.ssri.psu.edu>. The software is described in Neale, Hunter, Pritikin, Zahery, Brick, Kirkpatrick, Estabrook, Bates, Maes, & Boker (2016) <doi:10.1007/s11336-014-9435-8>.