k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-openssl (1.4.6+dfsg-1ubuntu1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=openssl
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-askpass, libc6 (>= 2.15), libssl3 (>= 3.0.0~~alpha1)
Description:  GNU R toolkit for encryption, signatures and certificates based on OpenSSL Bindings to OpenSSL libssl and libcrypto, plus custom SSH pubkey parsers. Supports RSA, DSA and NIST curves P-256, P-384 and P-521. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES block cipher is used in CBC mode for symmetric encryption; RSA for asymmetric (public key) encryption. High- level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Package: r-cran-openxlsx (4.2.5-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=openxlsx
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcpp, r-cran-stringi, r-cran-zip, r-cran-rlang
Description:  GNU R package to read and write XLSX files The openxlsx package simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of 'Rcpp', read/write times are comparable to the 'xlsx' and 'XLConnect' packages with the added benefit of removing the dependency on Java.
Package: r-cran-optimalcutpoints (1.1-5-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=OptimalCutpoints
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  Computing Optimal Cutpoints in Diagnostic Tests Computes optimal cutpoints for diagnostic tests or continuous markers. Various approaches for selecting optimal cutoffs have been implemented, including methods based on cost-benefit analysis and diagnostic test accuracy measures (Sensitivity/Specificity, Predictive Values and Diagnostic Likelihood Ratios). Numerical and graphical output for all methods is easily obtained.
Package: r-cran-optimx (2021-10.12+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=optimx
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-numderiv
Description:  GNU R expanded replacement and extension of the 'optim' function Provides a replacement and extension of the optim() function to call to several function minimization codes in R in a single statement. These methods handle smooth, possibly box constrained functions of several or many parameters. Note that function 'optimr()' was prepared to simplify the incorporation of minimization codes going forward. Also implements some utility codes and some extra solvers, including safeguarded Newton methods. Many methods previously separate are now included here. This is the version for CRAN.
Package: r-cran-optparse (1.7.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=optparse
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-getopt (>= 1.20.2)
Description:  GNU/R Command line option parser A command line parser inspired by Python's 'optparse' library to be used with Rscript to write "#!" shebang scripts that accept short and long flag/options.
Package: r-cran-ordinal (2019.12-10-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ordinal
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-ucminf, r-cran-mass, r-cran-matrix, r-cran-numderiv, libc6 (>= 2.4)
Description:  GNU R regression models for ordinal data Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models, proportional hazards models for grouped survival times and ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms are allowed and they may be nested, crossed or partially nested/crossed. Restrictions of symmetry and equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available (summary, anova, drop-methods, step, confint, predict etc.) in addition to profile methods and slice methods for visualizing the likelihood function and checking convergence.
Package: r-cran-orthopolynom (1.0.5-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=orthopolynom
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-polynom
Description:  functions for orthogonal and orthonormal polynomials in R A collection of functions to construct sets of orthogonal polynomials and their recurrence relations. Additional functions are provided to calculate the derivative, integral, value and roots of lists of polynomial objects.
Package: r-cran-packrat (0.7.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=packrat
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R dependency management system for R package dependencies Manage the R packages your project depends on in an isolated, portable, and reproducible way.
Package: r-cran-palmerpenguins (0.1.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=palmerpenguins
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  GNU R Palmer Archipelago (Antarctica) penguin data Size measurements, clutch observations, and blood isotope ratios for adult foraging Adélie, Chinstrap, and Gentoo penguins observed on islands in the Palmer Archipelago near Palmer Station, Antarctica. Data were collected and made available by Dr. Kristen Gorman and the Palmer Station Long Term Ecological Research (LTER) Program.
Package: r-cran-pammtools (0.5.8-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pammtools
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-mgcv, r-cran-survival (>= 2.39-5), r-cran-checkmate, r-cran-magrittr, r-cran-rlang, r-cran-tidyr (>= 1.0.0), r-cran-ggplot2 (>= 3.2.2), r-cran-dplyr (>= 1.0.0), r-cran-purrr (>= 0.2.3), r-cran-tibble, r-cran-lazyeval, r-cran-formula, r-cran-mvtnorm, r-cran-pec, r-cran-vctrs (>= 0.3.0)
Description:  GNU R piece-wise exponential additive mixed modeling tools This package provides piece-wise exponential additive mixed modeling tools for survival analysis. The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and others (2018) <doi: 10.1177/1471082X17748083>) is a powerful model class for the analysis of survival (or time-to- event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2019)), as well as support for left-truncated, competing risks and recurrent events data. pammtools provides tidy workflow for survival analysis with PAMMs, including data simulation, transformation and other functions for data preprocessing and model post-processing as well as visualization.
Package: r-cran-pan (1.6-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pan
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.29)
Description:  GNU R multiple imputation for multivariate panel or clustered data It provides functions and examples for maximum likelihood estimation for generalized linear mixed models and Gibbs sampler for multivariate linear mixed models with incomplete data, as described in Schafer JL (1997) "Imputation of missing covariates under a multivariate linear mixed model". Technical report 97-04, Dept. of Statistics, The Pennsylvania State University.
Package: r-cran-pander (0.6.4+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pander
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-digest, r-cran-rcpp, libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 9), node-jquery-ui, libjs-mathjax
Description:  GNU R 'Pandoc' writer Contains some functions catching all messages, 'stdout' and other useful information while evaluating R code and other helpers to return user specified text elements (like: header, paragraph, table, image, lists etc.) in 'pandoc' markdown or several type of R objects similarly automatically transformed to markdown format. Also capable of exporting/converting (the resulting) complex 'pandoc' documents to e.g. HTML, 'PDF', 'docx' or 'odt'. This latter reporting feature is supported in brew syntax or with a custom reference class with a smarty caching 'backend'.
Package: r-cran-parallelly (1.30.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=parallelly
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  GNU R enhancing the 'parallel' package Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by R options and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Package: r-cran-parallelmap (1.5.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=parallelMap
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-bbmisc (>= 1.8), r-cran-checkmate (>= 1.8.0)
Description:  GNU R unified interface to parallelization back-ends Unified parallelization framework for multiple back-end, designed for internal package and interactive usage. The main operation is a parallel "map" over lists. Supports local, multicore, mpi and BatchJobs mode. Allows "tagging" of the parallel operation with a level name that can be later selected by the user to switch on parallel execution for exactly this operation.
Package: r-cran-parameters (0.16.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=parameters
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-bayestestr (>= 0.11.5), r-cran-datawizard (>= 0.2.1), r-cran-insight (>= 0.14.5)
Description:  GNU R processing of model parameters Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like standardization or bootstrapping of parameters and models, feature reduction (feature extraction and variable selection) as well as conversion between indices of effect size.
Package: r-cran-paramhelpers (1.14-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ParamHelpers
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-backports, r-cran-bbmisc (>= 1.10), r-cran-checkmate (>= 1.8.2), r-cran-fastmatch
Description:  GNU R helpers for parameters in black-box optimization and tuning Functions for parameter descriptions and operations in black-box optimization, tuning and machine learning. Parameters can be described (type, constraints, defaults, etc.), combined to parameter sets and can in general be programmed on. A useful OptPath object (archive) to log function evaluations is also provided.
Package: r-cran-parmigene (1.1.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=parmigene
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.14), libgomp1 (>= 6)
Description:  Parallel Mutual Information to establish Gene Networks The package provides a parallel estimation of the mutual information based on entropy estimates from k-nearest neighbors distances and algorithms for the reconstruction of gene regulatory networks.
Package: r-cran-parsetools (0.1.3-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=parsetools
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R parse tools Tools and utilities for dealing with parse data. Parse data represents the parse tree as data with location and type information.  This package provides functions for navigating the parse tree as a data frame.
Package: r-cran-partitions (1.10-4+ds-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=partitions
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-gmp, r-cran-polynom, r-cran-sets, r-cran-mathjaxr, libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 5)
Description:  Additive partitions of integers Enumerates the partitions, unequal partitions, and restricted partitions of an integer; the three corresponding partition functions are also given.  Set partitions and now compositions are included.
Package: r-cran-party (1.3-9-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=party
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-mvtnorm (>= 1.0-2), r-cran-modeltools (>= 0.2-21), r-cran-strucchange, r-cran-survival (>= 2.37-7), r-cran-coin (>= 1.1-0), r-cran-zoo, r-cran-sandwich (>= 1.1-1), libblas3 | libblas.so.3, libc6 (>= 2.14), liblapack3 | liblapack.so.3
Description:  GNU R laboratory for recursive partytioning A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available. The methods are described in Hothorn et al. (2006) <doi:10.1198/106186006X133933>, Zeileis et al. (2008) <doi:10.1198/106186008X319331> and Strobl et al. (2007) <doi:10.1186/1471-2105-8-25>.
Package: r-cran-partykit (1.2-15-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=partykit
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-libcoin (>= 1.0-0), r-cran-mvtnorm, r-cran-survival, r-cran-formula (>= 1.2-1), r-cran-inum (>= 1.0-0), r-cran-rpart (>= 4.1-11), libc6 (>= 2.2.5)
Description:  GNU R toolkit for recursive partytioning A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <http://jmlr.org/papers/v16/hothorn15a.html>.
Package: r-cran-patchwork (1.1.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=patchwork
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-ggplot2 (>= 3.0.0), r-cran-gtable
Description:  GNU R the composer of plots The 'ggplot2' package provides a strong API for sequentially building up a plot, but does not concern itself with composition of multiple plots. 'patchwork' is a package that expands the API to allow for arbitrarily complex composition of plots by, among others, providing mathematical operators for combining multiple plots. Other packages that try to address this need (but with a different approach) are 'gridExtra' and 'cowplot'.
Package: r-cran-pbapply (1.5-0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pbapply
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R package providing progress bars for vectorized R functions The r-cran-pbapply package is a GNU R package providing progress bars for vectorized R functions.
Package: r-cran-pbdzmq (0.3.7+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pbdZMQ
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, libc6 (>= 2.14), libzmq5 (>= 3.2.3+dfsg)
Description:  R bindings for ZeroMQ from the pbdR project A set of bindings for the well-known ZeroMQ communication library. pbdZMQ wraps the C API in higher-level R functions and supports several common ZeroMQ patterns including request-reply and push-pull. Some compatibility functions are included for existing code using rzmq.
Package: r-cran-pbivnorm (0.6.0-4)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pbivnorm
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.29)
Description:  GNU R package for calculating probabilities from a bivariate normal CDF The r-cran-pbivnorm package is a GNU R package providing a vectorized R function for calculating probabilities from a standard bivariate normal CDF
Package: r-cran-pbkrtest (0.5.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pbkrtest
Depends: r-base-core (>= 4.0.4-1build1), r-api-4.0, r-cran-lme4 (>= 1.1-10), r-cran-broom, r-cran-dplyr, r-cran-magrittr, r-cran-mass, r-cran-matrix (>= 1.2.3), r-cran-numderiv, r-cran-knitr, r-cran-nloptr
Description:  GNU R package for tests in linear mixed-effect models The pbkrtest package provides parametric bootstrap and Kenward-Rogers tests for linear mixed effects models as in the lme4 package.
Package: r-cran-pbmcapply (1.5.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pbmcapply
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.2.5)
Description:  GNU R tracking the progress of Mc*pply with progress bar This light-weight GNU R package helps you track and visualize the progress of parallel version of vectorized R functions (mc*apply). Parallelization (mc.core > 1) works only on *nix systems providing the fork() functionality.
Package: r-cran-pcapp (1.9-74-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pcaPP
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-mvtnorm, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.3.1), liblapack3 | liblapack.so.3, libstdc++6 (>= 5)
Description:  Robust PCA by Projection Pursuit Provides functions for robust PCA by projection pursuit. The methods are described in Croux et al. (2006) <doi:10.2139/ssrn.968376>, Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>.
Package: r-cran-pcict (0.5-4.1-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=PCICt
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.14)
Description:  GNU R Implementation of POSIXct work-alike calendars This GNU R package provides a work-alike to R's POSIXct class which implements 360- and 365-day calendars in addition to the gregorian calendar.
Package: r-cran-pdftools (3.1.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pdftools
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-rcpp (>= 0.12.12), r-cran-qpdf, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libpoppler-cpp0v5 (>= 22.02.0), libstdc++6 (>= 11)
Description:  GNU R text extraction, rendering and converting of PDF documents Utilities based on 'libpoppler' for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents into PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Package: r-cran-pec (2021.10.11-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pec
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-prodlim (>= 1.4.9), r-cran-foreach (>= 1.4.2), r-cran-rms (>= 4.2-0), r-cran-survival (>= 2.37-7), r-cran-riskregression (>= 2020.02.05), r-cran-lava (>= 1.4.1), r-cran-timereg (>= 1.8.9)
Description:  GNU R Prediction Error Curves for risk prediction models in survival Analysis Validation of risk predictions obtained from survival models and competing risk models based on censored data using inverse weighting and cross-validation. Most of the 'pec' functionality has been moved to 'riskRegression'.
Package: r-cran-performance (0.8.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=performance
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-bayestestr (>= 0.9.0), r-cran-insight (>= 0.14.0), r-cran-datawizard (>= 0.2.0)
Description:  GNU R assessment of regression models performance Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models.
Package: r-cran-permute (0.9-7-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=permute
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0
Description:  R functions for generating restricted permutations of data Implements a set of restricted permutation designs for freely exchangeable, line transects (time series), and spatial grid designs plus permutation of blocks (groups of samples). ‘permute’ also allows split-plot designs, in which the whole-plots or split-plots or both can be freely-exchangeble or one of the restricted designs. The permute package is modelled after the permutation schemes of Canoco 3.1 by Cajo ter Braak.
Package: r-cran-phangorn (2.8.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=phangorn
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-ape (>= 5.5), r-cran-fastmatch, r-cran-igraph (>= 1.0), r-cran-matrix, r-cran-quadprog, r-cran-rcpp, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.4), libstdc++6 (>= 11)
Description:  GNU R package for phylogenetic analysis phangorn is a tool for reconstructing phylogenies, using distance-based methods, maximum parsimony or maximum likelihood, and performing Hadamard conjugation. It also offers functions for comparing trees, phylogenetic models or splits, simulating character data and performing congruence analysis.
Package: r-cran-pheatmap (1.0.12-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pheatmap
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcolorbrewer, r-cran-scales, r-cran-gtable
Description:  GNU R package to create pretty heatmaps GNU R implementation of heatmaps that offers more control over dimensions and appearance.
Package: r-cran-phylobase (0.8.10-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=phylobase
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-ade4, r-cran-ape (>= 3.0), r-cran-rcpp (>= 0.11.0), r-cran-rncl (>= 0.6.0), r-cran-rnexml, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Description:  GNU R base package for phylogenetic structures and comparative data This R package provides a base S4 class for comparative methods, incorporating one or more trees and trait data as these are used in other packages dealing with phylogenetic structures and comparative data.