| 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 and Richard Heiberger | 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 for more information) is
a non-profit organization which aims to investigate and promote the
use of statistics and probability in the study of Law and | 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
(), including
SF1 (Decennial short-form), SF3 (Decennial long-form), and the
American | 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 , Anne-Béatrice Dufour , and Jean Thioulouse , with contributions from Thibaut Jombart, Sandrine Pavoine, Jean R. Lobry, Sébastien Ollier, Daniel | 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 and Aurélie Siberchicot , with contributions from Jean Thioulouse. Based on earlier work by Alice Julien-Laferrière. | 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 |
