Single-Slot and Multi-Slot Base Distributions

Title: Regularized Simultaneous Component Based Data Integration
Authors@R: c(person(given = "Zhengguo", family = "Gu", role = c("aut", "cre"),
person(given = "Katrijn", family = "Van Deun", role = "aut"))
Description: It performs regularized simultaneous component based data
Imports: gtools, psych, RGCCA, ggplot2, stats, utils, graphics

Imports: gtools, psych, RGCCA, ggplot2, stats, utils, graphics, mice,

Description: Performs model-free reinforcement learning in R. This implementation enables the learning
of an optimal policy based on sample sequences consisting of states, actions and rewards. In
addition, it supplies multiple predefined reinforcement learning algorithms, such as experience
Imports: ggplot2, hash (>= 2.0), data.table

replay. Methodological details can be found in Sutton and Barto (1998) <ISBN:0262039249>.

Authors@R: person("Ting-Kam Leonard", "Wong", role = c("aut", "cre"),
Maintainer: Ting-Kam Leonard Wong <wongting@uw.edu>
Description: Classes and functions for analyzing the performance of portfolios relative to a benchmark.
Author: Ting-Kam Leonard Wong [aut, cre]

Title: An Algorithm to Infer Relatedness
Description: Inference of relatedness coefficients from a bi-allelic genotype matrix using a Maximum Likelihood estimation.

Title: Maximum Likelihood Estimation of Relatedness using EM Algorithm
Description: Inference of relatedness coefficients from a bi-allelic genotype matrix using a Maximum Likelihood estimation, Laporte, F., Charcosset, A. and Mary-Huard, T. (2017) <doi:10.1111/biom.12634>.

Description: Relative risk estimation for prospective and retrospective
Packaged: 2009-09-29 21:03:46 UTC; Bob Wheeler

Packaged: 2009-10-20 12:23:00 UTC; Bob Wheeler

Maintainer: Miguel Rodríguez Asensio <miguel.rodriguezasensio@gmail.com>
Description: Functions to obtain an important number of electoral indicators described in the package, which can be divided into two large sections: The first would be the one containing the indicators of electoral disproportionality, such as, Rae index, Loosemore–Hanby index, etc. The second group is intended to study the dimensions of the party system vote, through the indicators of electoral fragmentation, polarization, volatility, etc. Moreover, multiple seat allocation simulations can also be performed based on different allocation systems, such as the D'Hondt method, Sainte-Laguë, etc. Finally, some of these functions have been built so that, if the user wishes, the data provided by the Spanish Ministry of Home Office for different electoral processes held in Spain can be obtained automatically. All the above will allow the users to carry out deep studies on the results obtained in any type of electoral process. The methods are described in: Oñate, Pablo and Ocaña, Francisco A. (1999, ISBN:9788474762815); Ruiz Rodríguez, Leticia M. and Otero Felipe, Patricia (2011, ISBN:9788474766226).
Imports: readxl, ggforce, ggplot2, xlsx, dplyr, sf, utils, stats,