k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-fbasics (3042.89.1-1build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=fBasics
Depends: libc6 (>= 2.29), r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-timedate, r-cran-timeseries (>= 2100.84), r-cran-mass, r-cran-spatial, r-cran-gss, r-cran-stabledist
Description:  GNU R package for financial engineering -- fBasics This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fBasics provides basic statistical tests, distributions and other tools used by many of the Rmetrics packages.
Package: r-cran-fbonds (3042.78-4build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=fBonds
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics (>= 290.76)
Description:  GNU R package for financial engineering -- fBonds This package provides functions for bond and yield curve modelling and is part of Rmetrics, a collection of packages for financial engineering and computational finance written and compiled by Diethelm Wuertz and others. . fBonds provides modelling functions for bonds and interest rate models.
Package: r-cran-fcopulae (3042.82.1-1build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=fCopulae
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics (>= 2100.78), r-cran-fmultivar, r-cran-sn
Description:  GNU R package for financial engineering -- fCopulae This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fCopulae provides functions for (nonlinear) dependence structure modelling.
Package: r-cran-fdrtool (1.2.17-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fdrtool
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  GNU R estimation of false discovery dates and higher criticism Estimates both tail area-based false discovery rates (Fdr) as well as local false discovery rates (fdr) for a variety of null models (p-values, z-scores, correlation coefficients, t-scores). The proportion of null values and the parameters of the null distribution are adaptively estimated from the data. In addition, the package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression and antitonic regression with weights), for computing the greatest convex minorant (GCM) and the least concave majorant (LCM), for the half-normal and correlation distributions, and for computing empirical higher criticism (HC) scores and the corresponding decision threshold.
Package: r-cran-fexoticoptions (3042.80-3build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=fExoticOptions
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics (>= 290.76), r-cran-foptions (>= 260.72)
Description:  GNU R package for financial engineering -- fExoticOptions This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fExoticOptions provides functions to price and hedge exotic options on one or several assets.
Package: r-cran-fextremes (3042.82-3build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=fExtremes
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics (>= 290.76), r-cran-fgarch, r-cran-ftrading
Description:  GNU R package for financial engineering -- fExtremes This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fExtremes provides functions to analyze extreme values.
Package: r-cran-ff (4.0.5+ds-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ff
Depends: r-base-core (>= 4.1.2-1), r-api-4.0, r-cran-bit (>= 4.0.0), libc6 (>= 2.33), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 5)
Description:  Memory-Efficient Fast-Access Storage of Large Data The ff package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section (pagesize) in main memory - the effective virtual memory consumption per ff object. ff supports R's standard atomic data types 'double', 'logical', 'raw' and 'integer' and non-standard atomic types boolean (1 bit), quad (2 bit unsigned), nibble (4 bit unsigned), byte (1 byte signed with NAs), ubyte (1 byte unsigned), short (2 byte signed with NAs), ushort (2 byte unsigned), single (4 byte float with NAs). For example 'quad' allows efficient storage of genomic data as an 'A','T','G','C' factor. The unsigned types support 'circular' arithmetic. There is also support for close-to-atomic types 'factor', 'ordered', 'POSIXct', 'Date' and custom close-to-atomic types. . ff not only has native C-support for vectors, matrices and arrays with flexible dimorder (major column-order, major row-order and generalizations for arrays). There is also a ffdf class not unlike data.frames and import/export filters for csv files. ff objects store raw data in binary flat files in native encoding, and complement this with metadata stored in R as physical and virtual attributes. ff objects have well-defined hybrid copying semantics, which gives rise to certain performance improvements through virtualization. ff objects can be stored and reopened across R sessions. ff files can be shared by multiple ff R objects (using different data en/de-coding schemes) in the same process or from multiple R processes to exploit parallelism. A wide choice of finalizer options allows one to work with 'permanent' files as well as creating/removing 'temporary' ff files completely transparent to the user. On certain OS/Filesystem combinations, creating the ff files works without notable delay thanks to using sparse file allocation. Several access optimization techniques such as Hybrid Index Preprocessing and Virtualization are implemented to achieve good performance even with large datasets, for example virtual matrix transpose without touching a single byte on disk. Further, to reduce disk I/O, 'logicals' and non-standard data types get stored native and compact on binary flat files i.e. logicals take up exactly 2 bits to represent TRUE, FALSE and NA. . Beyond basic access functions, the ff package also provides compatibility functions that facilitate writing code for ff and ram objects and support for batch processing on ff objects (e.g. as.ram, as.ff, ffapply). ff interfaces closely with functionality from package 'bit': chunked looping, fast bit operations and coercions between different objects that can store subscript information ('bit', 'bitwhich', ff 'boolean', ri range index, hi hybrid index). This allows to work interactively with selections of large datasets and quickly modify selection criteria.
Package: r-cran-ffield (0.1.0-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=FField
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  Force field simulation for a set of points Force field simulation of interaction of set of points. Very useful for placing text labels on graphs, such as scatterplots.
Package: r-cran-fftw (1.0-6.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fftw
Depends: r-base-core (>= 4.1.2-1), r-api-4.0, libfftw3-double3 (>= 3.3.5)
Description:  GNU R fast FFT and DCT Based on the FFTW Library This GNU R package provides a simple and efficient wrapper around the fastest  Fourier transform in the west (FFTW) library <http://www.fftw.org/>.
Package: r-cran-fgarch (3042.83.2-1build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=fGarch
Depends: libc6 (>= 2.29), r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics (>= 2100.78), r-cran-fastica, r-cran-matrix
Description:  GNU R package for financial engineering -- fGarch This package provides functions for GARCH volatility modelling and is part of Rmetrics, a collection of packages for financial engineering and computational finance written and compiled by Diethelm Wuertz and others. . fGarch provides generalized autoregressive conditional heteroscastic modelling functions.
Package: r-cran-fields (13.3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fields
Depends: r-base-core (>= 4.1.2-1), r-api-4.0, r-cran-spam, r-cran-viridis, r-cran-maps, libc6 (>= 2.29)
Description:  GNU R tools for spatial data For curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods include cubic, and thin plate splines, Kriging and compact covariances for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range). A major feature is that any covariance function implemented in R and following a simple fields format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets.
Package: r-cran-filehash (2.4-2-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=filehash
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.4)
Description:  GNU R simple key-value database This GNU R package implements a simple key-value style database where character string keys are associated with data values that are stored on the disk. A simple interface is provided for inserting, retrieving, and deleting data from the database. Utilities are provided that allow 'filehash' databases to be treated much like environments and lists are already used in R. These utilities are provided to encourage interactive and exploratory analysis on large datasets. Three different file formats for representing the database are currently available and new formats can easily be incorporated by third parties for use in the 'filehash' framework.
Package: r-cran-filelock (1.0.2-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=filelock
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libc6 (>= 2.4)
Description:  portable file locking for GNU R Place an exclusive or shared lock on a file. It uses 'LockFile' on Windows and 'fcntl' locks on Unix-like systems.
Package: r-cran-fimport (3042.85-3build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=fImport
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-timedate, r-cran-timeseries, lynx
Description:  GNU R package for financial engineering -- fImport This package provides functions to import financial and economic data series import and is part of Rmetrics, a collection of packages for financial engineering and computational finance written and compiled by Diethelm Wuertz and others. . fImport provides import function to access (free) data from Economagic, the US Federal Reserve, Forecasts.Org, Yahoo and other web sources.
Package: r-cran-findpython (1.0.7-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=findpython
Depends: r-base-core (>= 4.0.3-1), r-api-4.0
Description:  GNU R functions to find an acceptable Python binary This GNU R package is designed to find an acceptable Python binary.  It is possible to specify a minimum and a maximum Python version as well as specifying needed Python modules.
Package: r-cran-fingerprint (3.5.7-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fingerprint
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R functions to operate on binary fingerprint data Functions to manipulate binary fingerprints of arbitrary length. A fingerprint is represented by an object of S4 class 'fingerprint' which is internally represented a vector of integers, such that each element represents the position in the fingerprint that is set to 1. The bitwise logical functions in R are overridden so that they can be used directly with 'fingerprint' objects. A number of distance metrics are also available (many contributed by Michael Fadock). Fingerprints can be converted to Euclidean vectors (i.e., points on the unit hypersphere) and can also be folded using OR. Arbitrary fingerprint formats can be handled via line handlers. Currently handlers are provided for CDK, MOE and BCI fingerprint data.
Package: r-cran-fit.models (0.64-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fit.models
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-lattice
Description:  Compare Fitted Models The fit.models function and its associated methods (coefficients, print, summary, plot, etc.) were originally provided in the robust package to compare robustly and classically fitted model objects. The aim of the fit.models package is to separate this fitted model object comparison functionality from the robust package and to extend it to support fitting methods (e.g., classical, robust, Bayesian, regularized, etc.) more generally.
Package: r-cran-fitbitscraper (0.1.8-6build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fitbitScraper
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-httr, r-cran-stringr, r-cran-jsonlite
Description:  Import your Fitbit data from the Fitbit's website into R This R package scrapes Fitbit data from the Fitbit's website. This does not use the official API, but instead uses the API that the web dashboard uses to generate the graphs displayed on the dashboard after login on the Fitbit's website.
Package: r-cran-fitcoach (1.0-4build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fitcoach
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-caret, r-cran-dplyr, r-cran-gbm, r-cran-ggplot2, r-cran-httr, r-cran-jsonlite, r-cran-plyr, r-cran-r6, r-cran-reshape2
Description:  R package for analysis and retrieve data of Fitbit This R package use the official API to import Fitbit data into R. Fitbit R API that provides fitbit coach functionality by analyzing your data obtained via fitbit API calls, and by giving personalized recommendations for the rest of the day based on your behavior.
Package: r-cran-fitdistrplus (1.1-6-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fitdistrplus
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-mass, r-cran-survival
Description:  support fit of parametric distribution Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME) and maximum goodness-of-fit estimation (MGE) methods (available only for non-censored data). Weighted versions of MLE, MME and QME are available. See e.g. Casella & Berger (2002). Statistical inference. Pacific Grove.
Package: r-cran-flashclust (1.01-2-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=flashClust
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, libc6 (>= 2.4)
Description:  Implementation of optimal hierarchical clustering Fast implementation of hierarchical clustering
Package: r-cran-flexmix (2.3-17-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=flexmix
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-lattice, r-cran-modeltools (>= 0.2-16), r-cran-nnet
Description:  GNU R flexible mixture modeling A general framework for finite mixtures of regression models using the EM algorithm is implemented. The package provides the E-step and all data handling, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based clustering.
Package: r-cran-fmultivar (3042.80.1-2)
Section: universe/math
Homepage: https://cran.r-project.org/package=fMultivar
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics (>= 290.76), r-cran-cubature, r-cran-mvtnorm, r-cran-sn
Description:  GNU R package for financial engineering -- fMultivar This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fMultivar provides multivariate analysis for financial time series.
Package: r-cran-fnn (1.1.3-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=FNN
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.9)
Description:  GNU R fast nearest neighbor search algorithms and applications Cover-tree and kd-tree fast k-nearest neighbor search algorithms and related applications including KNN classification, regression and information measures are implemented.
Package: r-cran-fnonlinear (3042.79-1build2)
Section: universe/math
Homepage: http://www.Rmetrics.org
Depends: libc6 (>= 2.29), r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-fbasics (>= 2100.78), r-cran-fgarch (>= 2100.79)
Description:  GNU R package for financial engineering -- fNonlinear This package provides functions for modelling of nonlinear time series and is part of Rmetrics, a collection of packages for financial engineering and computational finance written and compiled by Diethelm Wuertz and others. . fNonlinear provides nonlinear time series modelling functions.
Package: r-cran-fontbitstreamvera (0.1.1+dfsg-4build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fontBitstreamVera
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, ttf-bitstream-vera
Description:  GNU R fonts with 'Bitstream Vera Fonts' license This GNU R package provides fonts licensed under the 'Bitstream Vera Fonts' license for the package r-cran-fontquiver.
Package: r-cran-fontliberation (0.1.0+dfsg-4build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fontLiberation
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, fonts-liberation2
Description:  Liberation Fonts for GNU R A placeholder for the Liberation fontset intended for the `fontquiver` package. This fontset covers the 12 combinations of families (sans, serif, mono) and faces (plain, bold, italic, bold italic) supported in R graphics devices.
Package: r-cran-fontquiver (0.2.1-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fontquiver
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-fontbitstreamvera (>= 0.1.0), r-cran-fontliberation (>= 0.1.0)
Description:  set of installed fonts for GNU R This GNU R package provides a set of fonts with permissive licences. This is useful when you want to avoid system fonts to make sure your outputs are reproducible.
Package: r-cran-foptions (3042.86-1build2)
Section: universe/math
Homepage: http://www.Rmetrics.org
Depends: libc6 (>= 2.29), r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-fbasics (>= 290.76)
Description:  GNU R package for financial engineering -- fOptions This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fOptions provides functions to price and hedge plain and exotic options on one or several assets.
Package: r-cran-forcats (0.5.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=forcats
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-ellipsis, r-cran-magrittr, r-cran-rlang, r-cran-tibble
Description:  GNU R package for working with categorical variables (factors) The package offers helpers for reordering factor levels (including moving specified levels to front, ordering by first appearance, reversing, and randomly shuffling), and tools for modifying factor levels (including collapsing rare levels into other, 'anonymising', and manually 'recoding').
Package: r-cran-foreach (1.5.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=foreach
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-codetools, r-cran-iterators
Description:  GNU R foreach looping support This package provides support for the foreach looping construct. Foreach is an idiom that allows for iterating over elements in a collection, without the use of an explicit loop counter.  This package in particular is intended to be used for its return value, rather than for its side effects.  In that sense, it is similar to the standard lapply function, but doesn't require the evaluation of a function.  Using foreach without side effects also facilitates executing the loop in parallel.
Package: r-cran-forecast (8.16-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=forecast
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-colorspace, r-cran-fracdiff, r-cran-ggplot2 (>= 2.2.1), r-cran-lmtest, r-cran-magrittr, r-cran-nnet, r-cran-rcpp (>= 0.11.0), r-cran-timedate, r-cran-tseries, r-cran-urca, r-cran-zoo, r-cran-rcpparmadillo (>= 0.2.35), libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  GNU R forecasting functions for time series and linear models Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Package: r-cran-foreign (0.8.82-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=foreign
Depends: libc6 (>= 2.14), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0
Description:  GNU R package to read/write data from other stat. systems This package provides functions for reading and writing data stored by statistical packages such as Minitab, S, SAS, SPSS, Stata, ... . 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-formatr (1.11-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=formatR
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  Format R code automatically The GNU R package formatr provides a function tidy_source() to format R source code. Spaces and indent will be added to the code automatically, and comments will be preserved under certain conditions, so that R code will be more human-readable and tidy. There is also a Shiny app as a user interface in this package (see tidy_app()).
Package: r-cran-formattable (0.2.1+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=formattable
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-knitr, r-cran-rmarkdown
Description:  GNU R create 'formattable' data structures Provides functions to create formattable vectors and data frames. 'Formattable' vectors are printed with text formatting, and formattable data frames are printed with multiple types of formatting in HTML to improve the readability of data presented in tabular form rendered in web pages.
Package: r-cran-formula (1.2-4-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=Formula
Depends: r-base-core (>= 4.0.3-1), r-api-4.0
Description:  GNU R package for extended model formulas The Formula package provides Infrastructure for extended formulas with multiple parts on the right-hand side and/or multiple responses on the left-hand side.