Packages Pre-Installed with ConnectR 2.0
YakData ConnectR has 2,140 packages pre-installed for your convenience. We pre-selected many of the top packages to save you time once your ConnectR server is deployed.
With the ConnectR R Package Manager, you can easily add new packages, remove packages or upgrade as suitable for your projects. All packages pre-installed for ConnectR 2.0 are based on the MRAN image of these packages on 2020-04-11.
| wdt_ID | Package | Version | Title | Description | Date | Author | URL | Maintainer | Built |
|---|---|---|---|---|---|---|---|---|---|
| 1 | abind | 1.4-5 | Combine Multidimensional Arrays | Combine multidimensional arrays into a single array. This is a generalization of 'cbind' and 'rbind'. Works with vectors, matrices, and higher-dimensional arrays. Also provides functions 'adrop', 'asub', and 'afill' for manipulating, extracting | 2016-06-19 | Tony Plate |
NA | Tony Plate |
R 3.6.3; ; 2020-11-01 20:30:46 UTC; unix |
| 2 | abjutils | 0.2.3 | Useful Tools for Jurimetrical Analysis Used by the Brazilian Jurimetrics Association | The Brazilian Jurimetrics Association (ABJ in
Portuguese, see |
2019-02-04 | Julio Trecenti [aut], Athos Damiani [ctb], Fernando Correa [aut], Caio Lente [aut, cre], Brazilian Jurimetrics Association [cph] | https://github.com/abjur/abjutils | Caio Lente |
R 3.6.3; ; 2020-11-07 18:35:31 UTC; unix |
| 3 | acepack | 1.4.1 | ACE and AVAS for Selecting Multiple Regression Transformations | Two nonparametric methods for multiple regression transform selection are provided. The first, Alternative Conditional Expectations (ACE), is an algorithm to find the fixed point of maximal correlation, i.e. it finds a set of transformed response v | NA | Phil Spector, Jerome Friedman, Robert Tibshirani, Thomas Lumley, Shawn Garbett, Jonathan Baron | NA | Shawn Garbett |
R 3.6.3; x86_64-pc-linux-gnu; 2020-11-01 20:29:48 UTC; unix |
| 4 | acs | 2.1.4 | Download, Manipulate, and Present American Community Survey and Decennial Data from the US Census | Provides a general toolkit for downloading, managing,
analyzing, and presenting data from the U.S. Census
( |
2019-02-14 | Ezra Haber Glenn [aut, cre] | http://dusp.mit.edu/faculty/ezra-glenn, http://eglenn.scripts.mit.edu/citystate/, http://mailman.mit.edu/mailman/listinfo/acs-r | Ezra Haber Glenn |
R 3.6.3; ; 2020-11-04 02:42:26 UTC; unix |
| 5 | actuar | 2.3-3 | Actuarial Functions and Heavy Tailed Distributions | Functions and data sets for actuarial science: modeling of loss distributions; risk theory and ruin theory; simulation of compound models, discrete mixtures and compound hierarchical models; credibility theory. Support for many additional probabil | 2019-12-03 | Vincent Goulet [cre, aut], Sébastien Auclair [ctb], Christophe Dutang [aut], Nicholas Langevin [ctb], Xavier Milhaud [ctb], Tommy Ouellet [ctb], Alexandre Parent [ctb], Mathieu Pigeon [aut], Louis-Philippe Pouliot [ctb] | https://gitlab.com/vigou3/actuar | Vincent Goulet |
R 3.6.3; x86_64-pc-linux-gnu; 2020-11-04 00:11:53 UTC; unix |
| 6 | ada | 2.0-5 | The R Package Ada for Stochastic Boosting | Performs discrete, real, and gentle boost under both exponential and logistic loss on a given data set. The package ada provides a straightforward, well-documented, and broad boosting routine for classification, ideally suited | 2016-04-12 | Mark Culp, Kjell Johnson, and George Michailidis | NA | Mark Culp |
R 3.6.3; ; 2020-11-02 23:50:06 UTC; unix |
| 7 | additivityTests | 1.1-4 | Additivity Tests in the Two Way Anova with Single Sub-class Numbers | Implementation of the Tukey, Mandel, Johnson-Graybill, LBI, Tusell and modified Tukey non-additivity tests. | 2014-01-16 | Marie Simeckova [aut], Thomas Rusch [aut], Petr Simecek [cre] | https://github.com/simecek/additivityTests | Petr Simecek |
R 3.6.3; ; 2020-11-04 00:56:56 UTC; unix |
| 8 | ade4 | 1.7-15 | Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences | Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g. | 2020-02-13 | Stéphane Dray |
http://pbil.univ-lyon1.fr/ADE-4 | Aurélie Siberchicot |
R 3.6.3; x86_64-pc-linux-gnu; 2020-11-05 02:34:11 UTC; unix |
| 9 | adegenet | 2.1.2 | Exploratory Analysis of Genetic and Genomic Data | Toolset for the exploration of genetic and genomic data. Adegenet provides formal (S4) classes for storing and handling various genetic data, including genetic markers with varying ploidy and hierarchical population structure ('genind' class), | NA | Thibaut Jombart, Zhian N. Kamvar, Caitlin Collins, Roman Lustrik, Marie- Pauline Beugin, Brian J. Knaus, Peter Solymos, Vladimir Mikryukov, Klaus Schliep, Tiago Maié, Libor Morkovsky, Ismail Ahmed, Anne Cori, Federico Calboli, RJ Ewing, Frédéric Micha | https://github.com/thibautjombart/adegenet | Zhian N. Kamvar |
R 3.6.3; x86_64-pc-linux-gnu; 2020-11-05 02:15:31 UTC; unix |
| 10 | adegraphics | 1.0-15 | An S4 Lattice-Based Package for the Representation of Multivariate Data | Graphical functionalities for the representation of multivariate data. It is a complete re-implementation of the functions available in the 'ade4' package. | 2018-12-18 | Stéphane Dray |
http://pbil.univ-lyon1.fr/ADE-4, Mailing list: http://listes.univ-lyon1.fr/wws/info/adelist | Aurélie Siberchicot |
R 3.6.3; ; 2020-11-05 02:29:29 UTC; unix |
| Package | Version | Title | Description | Date | Author | URL | Maintainer | Built |
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Please note that installed packages were verified via loading after installation. It is possible that some features may not be available in a particular package. Additionally, YakData does not endorse or verify the suitability of any package on this list for your needs. Your due diligence and careful testing of suitability for your needs is required.