k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-prodlim (2019.11.13-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=prodlim
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp (>= 0.11.5), r-cran-survival, r-cran-kernsmooth, r-cran-lava, libc6 (>= 2.4)
Description:  GNU R product-limit estimation for Censored Event History Analysis Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis. Kaplan-Meier and Aalen-Johansen method.
Package: r-cran-profilemodel (0.6.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=profileModel
Depends: r-base-core (>= 4.0.3-1), r-api-4.0
Description:  GNU R tools for profiling inference functions profileModel provides tools that can be used to calculate, evaluate, plot and use for inference the profiles of *arbitrary* inference functions for *arbitrary* 'glm'-like fitted models with linear predictors.
Package: r-cran-profmem (0.6.0+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=profmem
Depends: r-base-core (>= 4.0.3-1), r-api-4.0
Description:  Simple Memory Profiling for R A simple and light-weight API for memory profiling of R expressions. The profiling is built on top of R's built-in memory profiler ('utils::Rprofmem()'), which records every memory allocation done by R (also native code).
Package: r-cran-progress (1.2.2-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=progress
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-hms, r-cran-prettyunits, r-cran-r6, r-cran-crayon
Description:  GNU R terminal progress bars Configurable Progress bars for GNU R, they may include percentage, elapsed time, and/or the estimated completion time. They work in terminals, in 'Emacs' 'ESS', 'RStudio', 'Windows' 'Rgui' and the 'macOS' 'R.app'. The package also provides a 'C++' 'API', that works with or without 'Rcpp'.
Package: r-cran-progressr (0.10.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=progressr
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-digest
Description:  GNU R inclusive, unifying API for progress updates A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar() or progress::progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beep::beepr(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce APIs like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will also work with parallel processing via the 'future' framework, e.g. future.apply::future_lapply(), furrr::future_map(), and 'foreach' with 'doFuture'. The package is compatible with Shiny applications.
Package: r-cran-projpred (2.0.2+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=projpred
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-dplyr, r-cran-loo (>= 2.0.0), r-cran-rstantools (>= 2.0.0), r-cran-lme4, r-cran-optimx, r-cran-ggplot2, r-cran-rcpp, r-cran-rngtools (>= 1.2.4), r-cran-tidyverse, r-cran-mass, r-cran-magrittr, r-cran-mgcv, r-cran-gamm4, r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Description:  GNU R projection predictive feature selection Performs projection predictive feature selection for generalized linear models (see, Piironen, Paasiniemi and Vehtari, 2018, <arXiv:1810.02406>). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the package vignette for more information and examples.
Package: r-cran-promises (1.2.0.1+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=promises
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-r6, r-cran-rcpp, r-cran-later, r-cran-rlang, r-cran-magrittr, libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 9)
Description:  GNU R abstractions for promise-based asynchronous programming Provides fundamental abstractions for doing asynchronous programming in R using promises. Asynchronous programming is useful for allowing a single R process to orchestrate multiple tasks in the background while also attending to something else. Semantics are similar to 'JavaScript' promises, but with a syntax that is idiomatic R.
Package: r-cran-propclust (1.4-6-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=PropClust
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-fastcluster, r-cran-dynamictreecut, libc6 (>= 2.29), libgfortran5 (>= 8)
Description:  Propensity Clustering and Decomposition Implementation of propensity clustering and decomposition as described in Ranola et al. (2013) <doi:10.1186/1752-0509-7-21>. Propensity decomposition can be viewed on the one hand as a generalization of the eigenvector-based approximation of correlation networks, and on the other hand as a generalization of random multigraph models and conformity- based decompositions.
Package: r-cran-prophet (1.0+dfsg-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=prophet
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcpp (>= 0.12.0), r-cran-rlang (>= 0.3.0.1), r-cran-dplyr (>= 0.7.7), r-cran-dygraphs (>= 1.1.1.4), r-cran-extradistr, r-cran-ggplot2, r-cran-lubridate, r-cran-rcppparallel (>= 5.0.1), r-cran-rstan (>= 2.18.1), r-cran-rstantools (>= 2.0.0), r-cran-scales, r-cran-stanheaders (>= 2.18.0), r-cran-tidyr (>= 0.6.1), r-cran-xts, r-cran-bh (>= 1.66.0), r-cran-rcppeigen (>= 0.3.3.3.0), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  GNU R automatic forecasting procedure Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
Package: r-cran-proto (1.0.0-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=proto
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  Prototype object-based programming An object oriented system using object-based, also called prototype- based, rather than class-based object oriented ideas.
Package: r-cran-proxy (0.4-26-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=proxy
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.4)
Description:  GNU R distance and similarity measures Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.
Package: r-cran-ps (1.6.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ps
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.34)
Description:  GNU R list, query, manipulate system processes This GNU R package provides functions to list, query and manipulate all system processes.  This is an implementation of the Linux command ps for R.
Package: r-cran-pscbs (0.66.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=PSCBS
Depends: r-base-core (>= 4.1.2-1), r-api-4.0, r-cran-r.methodss3 (>= 1.8.1), r-cran-r.oo (>= 1.24.0), r-cran-r.utils (>= 2.11.0), r-cran-r.cache (>= 0.15.0), r-cran-matrixstats (>= 0.61.0), r-bioc-aroma.light (>= 2.4.0), r-bioc-dnacopy (>= 1.42.0), r-cran-listenv (>= 0.8.0), r-cran-future (>= 1.22.1)
Description:  R package: Analysis of Parent-Specific DNA Copy Numbers Segmentation of allele-specific DNA copy number data and detection of regions with abnormal copy number within each parental chromosome. Both tumor-normal paired and tumoronly analyses are supported.
Package: r-cran-pscl (1.5.5-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pscl
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass, libc6 (>= 2.3.4)
Description:  GNU R package for discrete data models This package consists of R functions developed at the Political Science Computational Laboratory at Stanford University; it currently includes models for count data (hurdle regression and zero-inflated negative binomial and Poisson models), ordinal probit and logit (also available in MASS via polr), and an item-response theory model.  Also included are Vuong tests for non-nested hypothesis testing and convenience functions for handling roll-call vote matrices.
Package: r-cran-psy (1.1-5build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=psy
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R procedures for psychometrics This package includes several procedures used in psychometrics and scaling, including: .  * Cohen's Kappa and weighted Kappa (two-rater agreement tests)  * Cronbach's Alpha (an item-reliability test)  * Focused Principal Components Analysis  * Intraclass correlation coefficients  * Light's Kappa (an N-rater agreement test)  * Screeplots and graphical representations of principal components
Package: r-cran-psych (2.1.9-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=psych
Depends: r-base-core (>= 4.1.2-1), r-api-4.0, r-cran-mnormt, r-cran-lattice, r-cran-nlme
Description:  GNU R procedures for psychological, psychometric, and personality research This GNU R package provides a general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research.
Package: r-cran-psychometric (2.2-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=psychometric
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-multilevel, r-cran-nlme
Description:  GNU R applied psychometric theory Contains GNU R functions useful for correlation theory, meta-analysis (validity-generalization), reliability, item analysis, inter-rater reliability, and classical utility.
Package: r-cran-psychotools (0.7-0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=psychotools
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.14)
Description:  GNU R psychometric modeling infrastructure Infrastructure for psychometric modeling such as data classes (for item response data and paired comparisons), basic model fitting functions (for Bradley-Terry, Rasch, parametric logistic IRT, generalized partial credit, rating scale, multinomial processing tree models), extractor functions for different types of parameters (item, person, threshold, discrimination, guessing, upper asymptotes), unified inference and visualizations, and various datasets for illustration.  Intended as a common lightweight and efficient toolbox for psychometric modeling and a common building block for fitting psychometric mixture models in package "psychomix" and trees based on psychometric models in package "psychotree".
Package: r-cran-psychotree (0.15-4-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=psychotree
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-partykit (>= 0.8-4), r-cran-psychotools (>= 0.4-0), r-cran-formula
Description:  GNU R recursive partitioning based on psychometric models Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees, and MPT trees.
Package: r-cran-psychtools (2.1.12-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=psychTools
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-foreign, r-cran-psych
Description:  GNU R tools to accompany the 'r-cran-psych' This GNU R package provides Psychological Research Support functions, data sets, and vignettes for the 'psych' package. It contains several of the biggest data sets for the 'psych' package as well as one vignette. A few helper functions for file manipulation are included as well. For more information, see the <https://personality-project.org/r> web page.
Package: r-cran-psyphy (0.2-3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=psyphy
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  functions for analyzing psychophysical data in GNU R An assortment of functions that could be useful in analyzing data from psychophysical experiments. It includes functions for calculating d' from several different experimental designs, links for m-alternative forced- choice (mafc) data to be used with the binomial family in glm (and possibly other contexts) and self-Start functions for estimating gamma values for CRT screen calibrations.
Package: r-cran-publish (2020.12.23-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Publish
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-prodlim (>= 1.5.4), r-cran-survival (>= 2.38), r-cran-data.table (>= 1.10.4), r-cran-lava (>= 1.5.1), r-cran-multcomp (>= 1.4)
Description:  GNU R format output of various routines This package enabled formatting output of various routines in a suitable way for reports and Publication A bunch of convenience functions that transform the results of some basic statistical analyses into table format nearly ready for publication. This includes descriptive tables, tables of logistic regression and Cox regression results as well as forest plots.
Package: r-cran-purrr (0.3.4-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=purrr
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-magrittr (>= 1.5), r-cran-rlang (>= 0.3.1), libc6 (>= 2.4)
Description:  GNU R functional programming tools This package provides a complete and consistent functional programming toolkit for GNU R. . Purrr draws inspiration from many related tools: .   * List operations defined in the Haskell prelude   * Scala's list methods.   * Functional programming libraries for javascript: underscore.js, lodash     and lazy.js.   * rlist, another R package to support working with lists. Similar goals     but somewhat different philosophy.
Package: r-cran-purrrlyr (0.0.7-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=purrrlyr
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-dplyr (>= 0.8.0), r-cran-magrittr (>= 1.5), r-cran-purrr (>= 0.2.2), r-cran-rcpp, r-cran-bh, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R Tools at the Intersection of 'purrr' and 'dplyr' This GNU R package provides some functions at the intersection of r-cran-dplyr and r-cran-purrr that formerly lived in the package r-cran-purrr.
Package: r-cran-purrrogress (0.1.1-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=purrrogress
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-r6, r-cran-assertthat, r-cran-glue, r-cran-hms, r-cran-pkgcond, r-cran-purrr, r-cran-testextra, r-cran-rlang
Description:  GNU R progress bars to mapping functions This GNU R package provides functions to easily add progress bars to apply calls.
Package: r-cran-pvclust (2.2-0-2build1)
Section: universe/gnu-r
Homepage: http://www.is.titech.ac.jp/~shimo/prog/pvclust/
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  Hierarchical Clustering with P-Values via Multiscale Bootstrap pvclust is a package for assessing the uncertainty in hierarchical cluster analysis. It provides AU (approximately unbiased) p-values as well as BP (boostrap probability) values computed via multiscale bootstrap resampling.
Package: r-cran-pwr (1.3-0+dfsg-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pwr
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R basic functions for power analysis Power analysis functions along the lines of "Statistical Power Analysis for the Behavioral Sciences" by Jacob Cohen (1988).
Package: r-cran-pwt8 (8.1.1-5build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pwt8
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package for the Penn World Tables (version 8.x) This package contains the Penn World Tables (PWT) version 8.x, which provide purchasing power parity (PPP) and national income accounts converted to international prices for 167 countries between 1950 and 2011. . This version of the PWT is produced by the University of California, Davis and the University of Groningen. It is the continuation of the work by the University of Pennsylvania. The older versions of the PWT (version 7 and below) are available in the package r-cran-pwt. A newer version of the PWT (version 9) is available in the package r-cran-pwt9.
Package: r-cran-pwt9 (9.1-0-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pwt9
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package for the Penn World Tables (version 9.x) This package contains the Penn World Tables (PWT) version 9.x, which provide purchasing power parity (PPP) and national income accounts converted to international prices for 182 countries between 1950 and 2017. . This version of the PWT is produced by the University of California, Davis and the University of Groningen. It is the continuation of the work by the University of Pennsylvania. Older versions of the PWT are available in the packages r-cran-pwt and r-cran-pwt8.
Package: r-cran-pwt (7.1.1-7build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=pwt
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package for the Penn World Tables (version 5.6 to 7.1) This package contains the Penn World Tables (PWT), which provide purchasing power parity (PPP) and national income accounts converted to international prices for 189 countries for some or all the years 1950-2010. The data are developed and maintained by scholars at the Center for International Comparisons of Production, Income and Prices (CIC) from the University of Pennsylvania. . The package contains all the releases of the PWT from version 5.6 to 7.1, which were created by the University of Pennsylvania. Note that more recent versions of the PWT have been created by the University of California, Davis and the University of Groningen, and are available in the r-cran-pwt8 and r-cran-pwt9 packages.
Package: r-cran-qap (0.1-1-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=qap
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.29)
Description:  GNU R heuristics for the quadratic assignment problem (QAP) This GNU R package implements heuristics for the Quadratic Assignment Problem (QAP).  Currently only a simulated annealing heuristic is available.
Package: r-cran-qgraph (1.9.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=qgraph
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-rcpp (>= 1.0.0), r-cran-psych, r-cran-lavaan, r-cran-plyr, r-cran-hmisc, r-cran-igraph, r-cran-jpeg, r-cran-png, r-cran-colorspace, r-cran-matrix, r-cran-corpcor, r-cran-reshape2, r-cran-ggplot2, r-cran-glasso, r-cran-fdrtool, r-cran-gtools, r-cran-pbapply, r-cran-abind, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R graph plotting methods and psychometric data visualization This GNU R package provides graph plotting methods, psychometric data visualization and graphical model estimation functions based on weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>.
Package: r-cran-qlcmatrix (0.9.7-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=qlcMatrix
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-matrix (>= 1.1-0), r-cran-slam (>= 0.1-32), r-cran-sparsesvd, r-cran-docopt
Description:  GNU R utility sparse matrix functions for quantitative language Comparison Extension of the functionality of the Matrix package for using sparse matrices. Some of the functions are very general, while other are highly specific for special data format as used for quantitative language comparison (QLC).
Package: r-cran-qpdf (1.1+dfsg-1build4)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=qpdf
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp, r-cran-askpass, r-cran-curl, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libqpdf28 (>> 10.0~), libstdc++6 (>= 5.2)
Description:  GNU R split, combine and compress PDF files Content-preserving transformations of PDF files such as split, combine, and compress. This package interfaces directly to the 'qpdf' C++ API and does not require any command line utilities. Note that 'qpdf' does not read actual content from PDF files: to extract text and data you need the 'pdftools' package.
Package: r-cran-qqman (0.1.8+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=qqman
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-calibrate
Description:  R package for visualizing GWAS results using Q-Q and manhattan plots qqman is an add-on package for the R statistical environment. This package provides functions for visualizing Genome-Wide Association Studies (GWAS) results using Manhattan plots and Quantile-Quantile plots.