k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-statcheck (1.3.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=statcheck
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-plyr, r-cran-ggplot2, r-cran-rmarkdown
Description:  GNU R functions for extraction of statistics from articles and recomputing p values GNU R package for extraction of statistical references from a directory with HTML and PDF files.  The package extracts statistical values (t and F statistics) from PDF files.  The "pdftotext" program is used to convert PDF files to plain text files.  By default a gui window is opened that allows you to choose the directory (using tcltk).
Package: r-cran-statip (0.2.3-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=statip
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-clue, r-cran-rpart, libc6 (>= 2.2.5)
Description:  statistical functions for probability distributions and regression A collection of miscellaneous statistical functions for probability distributions: 'dbern()', 'pbern()', 'qbern()', 'rbern()' for the Bernoulli distribution, and 'distr2name()', 'name2distr()' for distribution names; probability density estimation: 'densityfun()'; most frequent value estimation: 'mfv()', 'mfv1()'; other statistical measures of location: 'cv()' (coefficient of variation), 'midhinge()', 'midrange()', 'trimean()'; construction of histograms: 'histo()', 'find_breaks()'; calculation of the Hellinger distance: 'hellinger()'; use of classical kernels: 'kernelfun()', 'kernel_properties()'; univariate piecewise-constant regression: 'picor()'.
Package: r-cran-statmod (1.4.36-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=statmod
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R package providing algorithms and functions for statistical modeling This R package provides a collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes a number of advanced generalized linear model functions including new Tweedie and Digamma glm families and a secure convergence algorithm.
Package: r-cran-statnet.common (4.5.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=statnet.common
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-coda, libc6 (>= 2.14)
Description:  Common R Scripts and Utilities Used by the Statnet Project Non-statistical utilities used by the software developed by the Statnet Project. They may also be of use to others.
Package: r-cran-stringdist (0.9.8-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=stringdist
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.14), libgomp1 (>= 4.9)
Description:  GNU R approximate string matching and string distance functions Implements an approximate string matching version of R's native 'match' function. Can calculate various string distances based on edits (Damerau- Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro- Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences.
Package: r-cran-stringi (1.7.6-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=stringi
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libicu70 (>= 70.1-1~), libstdc++6 (>= 11)
Description:  GNU R character string processing facilities Allows for fast, correct, consistent, portable, as well as convenient character string/text processing in every locale and any native encoding. Owing to the use of the ICU library, the package provides R users with platform-independent functions known to Java, Perl, Python, PHP, and Ruby programmers. Among available features there are: pattern searching (e.g. via regular expressions), random string generation, string collation, transliteration, concatenation, date-time formatting and parsing, etc.
Package: r-cran-stringr (1.4.0-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=stringr
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-glue (>= 1.2.0), r-cran-magrittr, r-cran-stringi (>= 1.1.7)
Description:  Make it easier to work with strings stringr is a set of simple wrappers that make R's string functions more consistent, simpler and easier to use. It does this by ensuring that: function and argument names (and positions) are consistent, all functions deal with NA's and zero length character appropriately, and the output data structures from each function matches the input data structures of other functions.
Package: r-cran-strucchange (1.5-2-1+1build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=strucchange
Depends: libc6 (>= 2.29), r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-zoo, r-cran-sandwich
Description:  GNU R package for structural change regression estimation This package functions for testing, dating and monitoring of structural change in linear regression relationships. The strucchange package features tests/methods from the generalized fluctuation test framework as well as from the F test (Chow test) framework. This includes methods to fit, plot and test fluctuation processes (e.g., CUSUM, MOSUM, recursive/moving estimates) and F statistics, respectively.  It is possible to monitor incoming data online using fluctuation processes. . Finally, the breakpoints in regression models with structural changes can be estimated together with confidence intervals.  Emphasis is always given to methods for visualizing the data.
Package: r-cran-suppdists (1.1-9.7-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=SuppDists
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libc6 (>= 2.29), libstdc++6 (>= 4.3)
Description:  GNU R Supplementary Distributions Ten distributions supplementing those built into R. Inverse Gauss, Kruskal-Wallis, Kendall's Tau, Friedman's chi squared, Spearman's rho, maximum F ratio, the Pearson product moment correlation coefficient, Johnson distributions, normal scores and generalized hypergeometric distributions.
Package: r-cran-surveillance (1.19.1-1)
Section: multiverse/science
Homepage: https://cran.r-project.org/package=surveillance
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-sp (>= 1.0-15), r-cran-xtable (>= 1.7-0), r-cran-rcpp (>= 0.11.1), r-cran-polycub (>= 0.8.0), r-cran-mass, r-cran-matrix, r-cran-nlme, r-cran-spatstat.geom, r-cran-spatstat (>= 2.0), libc6 (>= 2.29), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 9)
Description:  GNU R package for the Modeling and Monitoring of Epidemic Phenomena Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. . The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Höhle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. . For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. hhh4() estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. twinSIR() models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by Höhle (2009) <doi:10.1002/bimj.200900050>. twinstim() estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.
Package: r-cran-survey (4.1-1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=survey
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-matrix, r-cran-survival, r-cran-lattice, r-cran-minqa, r-cran-numderiv, r-cran-mitools (>= 2.4)
Description:  GNU R analysis of complex survey samples Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement. Principal components, factor analysis.
Package: r-cran-survival (3.2-13-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=survival
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-matrix, libc6 (>= 2.4)
Description:  GNU R package for survival analysis This package provides functions and datasets for survival analysis: descriptive statistics, two-sample tests, parametric accelerated failure models, Cox model. Delayed entry (truncation) is allowed for all models; interval censoring for parametric 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-survminer (0.4.9+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=survminer
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-ggplot2, r-cran-ggpubr (>= 0.1.6), r-cran-gridextra (>= 2.0), r-cran-magrittr, r-cran-maxstat, r-cran-scales, r-cran-survival, r-cran-broom, r-cran-dplyr, r-cran-tidyr, r-cran-survmisc, r-cran-purrr, r-cran-tibble, r-cran-rlang, r-cran-ggtext (>= 0.1.0)
Description:  GNU R drawing survival curves using 'ggplot2' Contains the function 'ggsurvplot()' for drawing easily beautiful and 'ready-to-publish' survival curves with the 'number at risk' table and 'censoring count plot'. Other functions are also available to plot adjusted curves for `Cox` model and to visually examine 'Cox' model assumptions.
Package: r-cran-survmisc (0.5.5-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=survMisc
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-survival, r-cran-knitr, r-cran-kmsurv, r-cran-ggplot2, r-cran-data.table, r-cran-zoo, r-cran-gridextra, r-cran-km.ci, r-cran-xtable
Description:  GNU R miscellaneous functions for survival data A collection of functions to help in the analysis of right-censored survival data. These extend the methods available in package:survival.
Package: r-cran-susier (0.11.92-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=susieR
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-matrix, r-cran-matrixstats, r-cran-mixsqp, r-cran-reshape, r-cran-crayon, r-cran-ggplot2
Description:  Sum of Single Effects Linear Regression Implements methods for variable selection in linear regression based on the "Sum of Single Effects" (SuSiE) model, as described in Wang et al (2020) <DOI:10.1101/501114>. These methods provide simple summaries, called "Credible Sets", for accurately quantifying uncertainty in which variables should be selected. The methods are motivated by genetic fine-mapping applications, and are particularly well-suited to settings where variables are highly correlated and detectable effects are sparse. The fitting algorithm, a Bayesian analogue of stepwise selection methods called "Iterative Bayesian Stepwise Selection" (IBSS), is simple and fast, allowing the SuSiE model be fit to large data sets (thousands of samples and hundreds of thousands of variables).
Package: r-cran-svglite (2.1.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=svglite
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-systemfonts (>= 1.0.0), r-cran-cpp11, libc6 (>= 2.32), libgcc-s1 (>= 3.0), libpng16-16 (>= 1.6.2-1), libstdc++6 (>= 11)
Description:  GNU R 'SVG' graphics device This package provides graphics device for GNU R that produces 'Scalable Vector Graphics'.  'svglite' is a fork of the older 'RSvgDevice' package.
Package: r-cran-svmisc (1.2.3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=svMisc
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  SciViews - Miscellaneous Functions Miscellaneous functions for SciViews or general use: manage a temporary environment attached to the search path for temporary variables you do not want to save() or load(), test if Aqua, Mac, Win, ... Show progress bar, etc.
Package: r-cran-svunit (1.0.6-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=svUnit
Depends: r-base-core (>= 4.1.2-1), r-api-4.0
Description:  SciViews - Unit, Integration and System Testing A complete unit test system and functions to implement its GUI part.
Package: r-cran-swagger (3.33.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=swagger
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0
Description:  GNU R dynamically generate documentation from a 'Swagger' compliant API A collection of 'HTML', 'JavaScript', and 'CSS' assets that dynamically generate beautiful documentation from a 'Swagger' compliant API: <https://swagger.io/specification/>.
Package: r-cran-sys (3.4-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=sys
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.14)
Description:  Powerful and Reliable Tools for Running System Commands in GNU R Drop-in replacements for the base system2() function with fine control and consistent behavior across platforms. Supports clean interruption, timeout, background tasks, and streaming STDIN / STDOUT / STDERR over binary or text connections. Arguments on Windows automatically get encoded and quoted to work on different locales. On Unix platforms the package also provides functions for evaluating expressions inside a temporary fork. Such evaluations have no side effects on the main R process, and support reliable interrupts and timeouts. This provides the basis for a sandboxing mechanism.
Package: r-cran-systemfit (1.1-24-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=systemfit
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-matrix, r-cran-car (>= 2.0-0), r-cran-lmtest, r-cran-sandwich (>= 2.2-9), r-cran-mass
Description:  GNU R estimating systems of simultaneous equations Econometric estimation of simultaneous systems of linear and nonlinear equations using Ordinary Least Squares (OLS), Weighted Least Squares (WLS), Seemingly Unrelated Regressions (SUR), Two-Stage Least Squares (2SLS), Weighted Two-Stage Least Squares (W2SLS), and Three-Stage Least Squares (3SLS).
Package: r-cran-systemfonts (1.0.4-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=systemfonts
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-cpp11 (>= 0.2.1), libc6 (>= 2.14), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  system native font finding for GNU R Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Package: r-cran-taxize (0.9.99-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=taxize
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-crul (>= 0.7.0), r-cran-xml2 (>= 1.2.0), r-cran-jsonlite, r-cran-foreach, r-cran-ape, r-cran-zoo, r-cran-data.table, r-cran-tibble (>= 1.2), r-cran-bold (>= 0.8.6), r-cran-rredlist, r-cran-rotl (>= 3.0.0), r-cran-ritis (>= 0.7.6), r-cran-worrms (>= 0.4.0), r-cran-natserv (>= 1.0.0), r-cran-wikitaxa (>= 0.3.0), r-cran-r6, r-cran-crayon, r-cran-cli, r-cran-phangorn, r-cran-conditionz
Description:  GNU R taxonomic information from around the web GNU R package to interact with a suite of web 'APIs' for taxonomic tasks, such as verifying species names, and getting taxonomic 'hierarchies'.
Package: r-cran-tcltk2 (1.2-11-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tcltk2
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, tk-table
Description:  GNU R package for Tcl/Tk additions A series of additional Tcl commands and Tk widgets with style and various functions to supplement the tcltk core package for R.
Package: r-cran-tcr (2.3.2+ds-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tcR
Depends: r-base-core (>= 4.0.1-1), r-api-4.0, r-cran-ggplot2 (>= 1.0.0), r-cran-dplyr (>= 0.4.0), r-cran-gridextra (>= 0.9.0), r-cran-reshape2 (>= 1.2.0), r-cran-igraph (>= 0.7.1), r-cran-rcpp (>= 0.11.1), r-cran-data.table (>= 1.9.0), r-cran-gtable (>= 0.1.2), r-cran-stringdist (>= 0.7.3), r-cran-scales (>= 0.3.0), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  Advanced Data Analysis of Immune Receptor Repertoires Cells of the immune system are the grand exception to the rule that all cells of an individuum have (mostly exact) copies of the same DNA. B cells (which produce antibodies) and T cells (which communicate with cells) however have a section of their DNA with genes of the groups V, D and J that are reorganised within the genomic DNA to provide the flexibility to deal with yet unknown pathogens. . This package provides a platform for the advanced analysis of T cell receptor repertoire data and its visualisations. . Caveat: This package is soon to be replaced by http://github.com/immunomind/immunarch which is not yet available as a Debian package.
Package: r-cran-teachingdemos (2.12-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=TeachingDemos
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R Demonstrations for teaching and learning This package is a set of demonstration functions that can be used in a classroom to demonstrate statistical concepts, or on your own to better understand the concepts or the programming.
Package: r-cran-tensor (1.5-4)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tensor
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R Tensor product of arrays The tensor product of two arrays is notionally an outer product of the arrays collapsed in specific extents by summing along the appropriate diagonals.
Package: r-cran-tensora (0.36.2-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tensorA
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R advanced tensor arithmetic with named indices Provides convenience functions for advanced linear algebra with tensors and computation with data sets of tensors on a higher level abstraction. It includes Einstein and Riemann summing conventions, dragging, co- and contravariate indices, parallel computations on sequences of tensors.
Package: r-cran-terra (1.5-21-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=terra
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-rcpp, libc6 (>= 2.35), libgcc-s1 (>= 3.0), libgdal30 (>= 3.4.0), libgeos-c1v5 (>= 3.8.0), libproj22 (>= 7.1.0), libstdc++6 (>= 11)
Description:  GNU R spatial data analysis Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is easier to use, and it is faster.
Package: r-cran-testextra (0.1.0.1-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=testextra
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-assertthat, r-cran-parsetools, r-cran-pkgcond, r-cran-postlogic, r-cran-purrr, r-cran-rlang, r-cran-stringi, r-cran-testthat
Description:  GNU R Extract Test Blocks A collection of testing enhancements and utilities. Including utilities for extracting inline test blocks from package source files.
Package: r-cran-testit (0.13-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=testit
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  simple package for testing GNU R packages This GNU R package provides two convenience functions assert() and test_pkg() to facilitate testing R packages.
Package: r-cran-testthat (3.1.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=testthat
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-brio, r-cran-callr (>= 3.5.1), r-cran-cli (>= 2.2.0), r-cran-crayon (>= 1.3.4), r-cran-desc, r-cran-digest, r-cran-ellipsis (>= 0.2.0), r-cran-evaluate, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-pkgload, r-cran-praise, r-cran-processx, r-cran-ps (>= 1.3.4), r-cran-r6 (>= 2.2.0), r-cran-rlang (>= 0.4.9), r-cran-waldo (>= 0.2.4), r-cran-withr (>= 2.4.3), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  GNU R testsuite Testthat code. Tools to make testing fun. . Software testing is important, but, in part because it is frustrating and boring, many developers avoid it. 'testthat' is a testing framework for R that is easy learn and use, and integrates with your existing 'workflow'.
Package: r-cran-textshaping (0.3.6-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=textshaping
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-systemfonts (>= 1.0.0), r-cran-cpp11 (>= 0.2.1), libc6 (>= 2.14), libfreetype6 (>= 2.2.1), libfribidi0 (>= 0.19.2), libgcc-s1 (>= 3.3.1), libharfbuzz0b (>= 1.2.6), libstdc++6 (>= 11)
Description:  GNU R bindings to the 'HarfBuzz' and 'Fribidi' libraries for text shaping Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.