k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-fpc (2.2-9-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fpc
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-mass, r-cran-cluster, r-cran-mclust, r-cran-flexmix, r-cran-prabclus, r-cran-class, r-cran-diptest, r-cran-robustbase, r-cran-kernlab
Description:  GNU R flexible procedures for clustering Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modality diagnosis for Gaussian mixtures.
Package: r-cran-fportfolio (3042.83.1-1build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=fPortfolio
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics, r-cran-fassets (>= 2100.78), r-cran-fcopulae, r-cran-robustbase, r-cran-mass, r-cran-rglpk, r-cran-slam, r-cran-rsolnp, r-cran-quadprog, r-cran-kernlab, r-cran-rneos, r-cran-rsymphony
Description:  GNU R package for financial engineering -- fPortfolio This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fPortfolio provides functions for portfolio and asset price modeling, drawdown statistics, value-at-risk and Markowitz portfolio construction.
Package: r-cran-fracdiff (1.5-1-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fracdiff
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libblas3 | libblas.so.3, libc6 (>= 2.29)
Description:  GNU R fractionally differenced ARIMA aka ARFIMA(p,d,q) models Maximum likelihood estimation of the parameters of a fractionally differenced ARIMA(p,d,q) model (Haslett and Raftery, Appl.Statistics, 1989).
Package: r-cran-freetypeharfbuzz (0.2.6+dfsg-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=freetypeharfbuzz
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-fontquiver, libc6 (>= 2.4), libfreetype6 (>= 2.2.1), libharfbuzz0b (>= 1.2.6)
Description:  GNU R deterministic computation of text box metrics Unlike other tools that dynamically link to the 'Cairo' stack, 'freetypeharfbuzz' is statically linked to specific versions of the 'FreeType' and 'harfbuzz' libraries (2.9 and 1.7.6 respectively). This ensures deterministic computation of text box extents for situations where reproducible results are crucial (for instance unit tests of graphics). . Package 'freetypeharfbuzz’ was removed from the CRAN repository. The code was obtained from the archive.
Package: r-cran-fregression (3042.82-1build2)
Section: universe/math
Homepage: http://www.Rmetrics.org
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mgcv, r-cran-vr, r-cran-polspline, r-cran-fbasics (>= 290.76), r-cran-ftrading, r-cran-fmultivar
Description:  GNU R package for financial engineering -- fRegression This package provides functions for regression-based decision and prediction and is part of Rmetrics, a collection of packages for financial engineering and computational finance written and compiled by Diethelm Wuertz and others. . fRegression provides functions for regression-based decision and prediction.
Package: r-cran-fs (1.5.2+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fs
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), libuv1 (>= 1.18.0)
Description:  GNU R cross-platform file system operations This GNU R package provides a cross-platform interface to file system operations, built on top of the 'libuv' C library.
Package: r-cran-ftrading (3042.79-3build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=fTrading
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 -- fTrading 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. . fTrading provides functions for technical trading analysis.
Package: r-cran-fts (0.9.9.2-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=fts
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-zoo, r-cran-bh, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R interface to tslib This GNU R package provides fast operations for time series objects (a time series library in c++).
Package: r-cran-funitroots (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 (>= 260.72), r-cran-urca (>= 1.2-5-2)
Description:  GNU R package for financial engineering -- fUnitRoots This package provides functions for unit root modelling of non-stationary 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. . fUnitRoots provides modelling functions for non-stationary time series.
Package: r-cran-furrr (0.2.3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=furrr
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-future (>= 1.19.1), r-cran-ellipsis, r-cran-globals (>= 0.13.1), r-cran-lifecycle (>= 1.0.0), r-cran-purrr (>= 0.3.0), r-cran-rlang (>= 0.3.0), r-cran-vctrs (>= 0.3.2)
Description:  GNU R apply mapping functions in parallel using futures Implementations of the family of map() functions from 'purrr' that can be resolved using any 'future'-supported backend, e.g. parallel on the local machine or distributed on a compute cluster.
Package: r-cran-futile.logger (1.4.3-4build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=futile.logger
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-lambda.r (>= 1.1.0), r-cran-futile.options
Description:  logging utility for GNU R This GNU R package provides a simple yet powerful logging utility. Based loosely on log4j, futile.logger takes advantage of R idioms to make logging a convenient and easy to use replacement for cat and print statements.
Package: r-cran-futile.options (1.0.1-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=futile.options
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R futile options management This GNU R package provides a scoped options management framework.
Package: r-cran-future.apply (1.8.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=future.apply
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-future (>= 1.21.0), r-cran-globals (>= 0.14.0)
Description:  apply function to elements in parallel using futures Implementations of apply(), by(), eapply(), lapply(), Map(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.
Package: r-cran-future.batchtools (0.10.0+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=future.batchtools
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-future (>= 1.17.0), r-cran-batchtools (>= 0.9.13)
Description:  Future API for Parallel and Distributed Processing Implementation of the Future API on top of the 'batchtools' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS', e.g. 'y <- future.apply::future_lapply(files, FUN = process)'.
Package: r-cran-future (1.24.0+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=future
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-digest, r-cran-globals (>= 0.14.0), r-cran-listenv (>= 0.8.0), r-cran-parallelly (>= 1.30.0)
Description:  R package: A Future API for R In programming, a future is an abstraction for a value that may be available at some point in the future. The state of a future can either be unresolved or resolved. As soon as it is resolved, the value is available. Futures are useful constructs in for instance concurrent evaluation, e.g. parallel processing and distributed processing on compute clusters. The purpose of this package is to provide a lightweight interface for using futures in R.
Package: r-cran-g.data (2.4-4build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=g.data
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package for delayed-data g.data creates and maintains delayed-data packages (DDP's). Data stored in a DDP are available on demand, but do not take up memory until requested.  You attach a DDP with g.data.attach(), then read from it and assign to it in a manner similar to S-Plus, except that you must run g.data.save() to actually commit to disk.
Package: r-cran-gam (1.20-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=gam
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-foreach, libblas3 | libblas.so.3, libc6 (>= 2.29)
Description:  Generalized Additive Models for R Functions for fitting and working with generalized additive models, as described in chapter 7 of “Statistical Models in S” (Chambers and Hastie (eds), 1991), and “Generalized Additive Models” (Hastie and Tibshirani, 1990).
Package: r-cran-gamm4 (0.2-6-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=gamm4
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-matrix, r-cran-lme4 (>= 1.0), r-cran-mgcv (>= 1.7-23)
Description:  GNU R generalized additive mixed models using 'mgcv' and 'lme4' Estimate generalized additive mixed models via a version of function gamm() from 'mgcv', using 'lme4' for estimation.
Package: r-cran-gargle (1.2.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=gargle
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-cli (>= 3.0.0), r-cran-fs (>= 1.3.1), r-cran-glue (>= 1.3.0), r-cran-httr (>= 1.4.0), r-cran-jsonlite, r-cran-rappdirs, r-cran-rlang (>= 0.4.9), r-cran-rstudioapi, r-cran-withr
Description:  GNU R utilities for working with Google APIs Provides utilities for working with Google APIs <https://developers.google.com/apis-explorer>.  This includes functions and classes for handling common credential types and for preparing, executing, and processing HTTP requests.
Package: r-cran-gb2 (2.1-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=GB2
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-cubature, r-cran-hypergeo, r-cran-laeken, r-cran-numderiv, r-cran-survey
Description:  GNU R generalized beta distribution of the second kind Properties, Likelihood, Estimation Package GB2 explores the Generalized Beta distribution of the second kind. Density, cumulative distribution function, quantiles and moments of the distributions are given. Functions for the full log-likelihood, the profile log-likelihood and the scores are provided. Formulas for various indicators of inequality and poverty under the GB2 are implemented. The GB2 is fitted by the methods of maximum pseudo-likelihood estimation using the full and profile log-likelihood, and non-linear least squares estimation of the model parameters. Various plots for the visualization and analysis of the results are provided. Variance estimation of the parameters is provided for the method of maximum pseudo-likelihood estimation. A mixture distribution based on the compounding property of the GB2 is presented (denoted as "compound" in the documentation). This mixture distribution is based on the discretization of the distribution of the underlying random scale parameter. The discretization can be left or right tail. Density, cumulative distribution function, moments and quantiles for the mixture distribution are provided. The compound mixture distribution is fitted using the method of maximum pseudo- likelihood estimation. The fit can also incorporate the use of auxiliary information. In this new version of the package, the mixture case is complemented with new functions for variance estimation by linearization and comparative density plots.
Package: r-cran-gbm (2.1.8-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=gbm
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-lattice, r-cran-survival, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.9)
Description:  GNU R package providing Generalized Boosted Regression Models This package implements extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart).
Package: r-cran-gbrd (0.4-11-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=gbRd
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0
Description:  GNU R utilities for processing Rd objects and files Provides utilities for processing Rd objects and files. Extract argument descriptions and other parts of the help pages of functions.
Package: r-cran-gclus (1.3.2-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=gclus
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-cluster
Description:  GNU R clustering graphics Orders panels in scatterplot matrices and parallel coordinate displays by some merit index. Package contains various indices of merit, ordering functions, and enhanced versions of pairs and parcoord which color panels according to their merit level.
Package: r-cran-gdata (2.18.0-3build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=gdata
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-gtools
Description:  GNU R package with data manipulation tools by Greg Warnes et al This package of R programming tools was written by Gregory Warnes with code contributions by Ben Bolker and Thomas Lumley. . This package used to be part of the gregmisc bundle packaged for Debian as r-cran-gregmisc.
Package: r-cran-gdtools (0.2.4-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=gdtools
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-rcpp (>= 0.12.12), r-cran-systemfonts (>= 0.1.1), libc6 (>= 2.14), libcairo2 (>= 1.7.2), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  GNU R utilities for graphical rendering This package provides useful tools for writing vector graphics devices in GNU R.
Package: r-cran-gee (4.13-20-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=gee
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, libblas3 | libblas.so.3, libc6 (>= 2.29)
Description:  Generalized Estimation Equation Solver R package which provide a function to solve a Generalized Estimation Equation Model.
Package: r-cran-geepack (1.3.3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=geepack
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-mass, r-cran-broom, r-cran-magrittr, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5)
Description:  Generalized Estimating Equation Package for R Generalized estimating equations solver for parameters in mean, scale, and correlation structures, through mean link, scale link, and correlation link. Can also handle clustered categorical responses.
Package: r-cran-genabel.data (1.0.0-4build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=GenABEL.data
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  data package for genome-wide SNP association analysis The package offers the R library GenABEL for the hunt of genetic contributions to a disease (or any other pheonypical trait) by so called genome-wide association analysis. Additional input commonly comes from DNA mircoarray experiments, performed on every individual, that determine differences (polymorphisms) in the population. GenABEL finds associations between quantitative or binary traits and single-nucleiotide polymorphisms (SNPs). . GenABEL.data package consists of a data set used by GenABEL functions.
Package: r-cran-genabel (1.8-0-5)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=GenABEL
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-mass, r-cran-genabel.data, libc6 (>= 2.33), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  GNU R package for genome-wide SNP association analysis The package offers the R library GenABEL for the hunt of genetic contributions to a disease (or any other pheonypical trait) by so called genome-wide association analysis. Additional input commonly comes from DNA mircoarray experiments, performed on every individual, that determine differences (polymorphisms) in the population. GenABEL finds associations between quantitative or binary traits and single-nucleiotide polymorphisms (SNPs). . Package 'GenABEL’ was removed from the CRAN repository. The code was obtained from the archive.
Package: r-cran-generics (0.1.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=generics
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0
Description:  GNU R common S3 generics not provided by base R methods This GNU R package provides a number of commonly used S3 generics that are not provided by base R methods related to model fitting in order to reduce potential package dependencies and conflicts,
Package: r-cran-genetics (1.3.8.1.3-1)
Section: universe/science
Homepage: https://cran.r-project.org/package=genetics
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-combinat, r-cran-gdata, r-cran-gtools, r-cran-mass, r-cran-mvtnorm
Description:  GNU R package for population genetics Classes and methods for handling genetic data. Includes The package provides a library for the statistics environment R that contains classes to represent genotypes and haplotypes at single markers up to multiple markers on multiple chromosomes. Function include allele frequencies, flagging homo/heterozygotes, flagging carriers of certain alleles, estimating and testing for Hardy-Weinberg disequilibrium, estimating and testing for linkage disequilibrium, and more. . NOTE: THIS PACKAGE IS NOW OBSOLETE. . The R-Genetics project has developed an set of enhanced genetics packages to replace 'genetics'. Please visit the project homepage at http://rgenetics.org for information.
Package: r-cran-genie (1.0.5-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=genie
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-genieclust, r-cran-rcpp (>= 1.0.0), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libstdc++6 (>= 5.2)
Description:  GNU R fast, robust, and outlier resistant hierarchical clustering Includes the reference implementation of Genie - a hierarchical clustering algorithm that links two point groups in such a way that an inequity measure (namely, the Gini index) of the cluster sizes does not significantly increase above a given threshold. This method most often outperforms many other data segmentation approaches in terms of clustering quality as tested on a wide range of benchmark datasets. At the same time, Genie retains the high speed of the single linkage approach, therefore it is also suitable for analysing larger data sets. For more details see (Gagolewski et al. 2016 <DOI:10.1016/j.ins.2016.05.003>). For an even faster and more feature-rich implementation, including, amongst others, noise point detection, see the 'genieclust' package.
Package: r-cran-genieclust (1.0.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=genieclust
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rcpp (>= 1.0.4), libc6 (>= 2.29), libgcc-s1 (>= 3.3.1), libgomp1 (>= 4.9), libstdc++6 (>= 9)
Description:  GNU R Genie++ Hierarchical Clustering Algorithm with Noise Points Detection A retake on the Genie algorithm - a robust hierarchical clustering method (Gagolewski, Bartoszuk, Cena, 2016 <DOI:10.1016/j.ins.2016.05.003>). Now faster and more memory efficient; determining the whole hierarchy for datasets of 10M points in low dimensional Euclidean spaces or 100K points in high-dimensional ones takes only 1-2 minutes. Allows clustering with respect to mutual reachability distances so that it can act as a noise point detector or a robustified version of 'HDBSCAN*' (that is able to detect a predefined number of clusters and hence it does not dependent on the somewhat fragile 'eps' parameter). . The package also features an implementation of economic inequity indices (the Gini, Bonferroni index) and external cluster validity measures (partition similarity scores; e.g., the adjusted Rand, Fowlkes-Mallows, adjusted mutual information, pair sets index). . See also the 'Python' version of 'genieclust' available on 'PyPI', which supports sparse data, more metrics, and even larger datasets.
Package: r-cran-genoplotr (0.8.11+dfsg-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=genoPlotR
Depends: r-base-core (>= 4.0.4-1build1), r-api-4.0, r-cran-ade4
Description:  Plot Publication-Grade Gene and Genome Maps Draws gene or genome maps and comparisons between these, in a publication-grade manner. Starting from simple, common files, it will draw postscript or PDF files that can be sent as such to journals.
Package: r-cran-geoknife (1.6.6-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=geoknife
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-whisker, r-cran-xml2, r-cran-httr (>= 1.0.0), r-cran-curl, r-cran-sp, r-cran-progress (>= 1.1.2)
Description:  GNU R web-processing of large gridded datasets Processes gridded datasets found on the U.S. Geological Survey Geo Data Portal web application or elsewhere, using a web-enabled workflow that eliminates the need to download and store large datasets that are reliably hosted on the Internet. The package provides access to several data subset and summarization algorithms that are available on remote web processing servers (Read et al. (2015) <doi:10.1111/ecog.01880>).
Package: r-cran-geometry (0.4.5-1build2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=geometry
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-magic, r-cran-rcpp, r-cran-lpsolve, r-cran-linprog, r-cran-rcppprogress, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R mesh generation and surface tesselation This GNU R package makes the qhull library (www.qhull.org) available in R, in a similar manner as in Octave and MATLAB. Qhull computes convex hulls, Delaunay triangulations, halfspace intersections about a point, Voronoi diagrams, furthest-site Delaunay triangulations, and furthest-site Voronoi diagrams. It runs in 2-d, 3-d, 4-d, and higher dimensions. It implements the Quickhull algorithm for computing the convex hull. Qhull does not support constrained Delaunay triangulations, or mesh generation of non-convex objects, but the package does include some R functions that allow for this. Currently the package only gives access to Delaunay triangulation and convex hull computation.