Packaged: 2020-04-14 13:47:36 UTC; Administrator

Description: Barnard's unconditional test for 2x2 contingency tables.
Packaged: Fri Jul 1 12:53:04 2011; kamil

Packaged: Thu Nov 10 15:54:22 2011; kamil

Packaged: Mon Nov 21 13:00:11 2011; kamil

Packaged: Wed Sep 26 12:23:39 2012; kamil

Title: Variable Selection Using Bayesian Additive Regression Trees
Authors@R: c(person('Chuji', 'Luo', role=c('aut', 'cre'),
Description: Bayesian additive regression trees (BART) provides flexible non-parametric modeling of mixed-type predictors for continuous and binary responses. This package is built upon CRAN R package 'BART', version 2.7 (<https://github.com/cran/BART>). It implements the three proposed variable selection approaches in the paper: Luo, C and Daniels, M. J. (2021), "Variable Selection Using Bayesian Additive Regression Trees." <arXiv:2112.13998>, and other three existing BART-based variable selection approaches.

Description: Computation of a Wasserstein Barycenter. The package implements a method described in Cuturi (2014) "Fast Computation of Wasserstein Barycenters". The paper is available at <http://jmlr.org/proceedings/papers/v32/cuturi14.pdf>. To speed up the computation time the main iteration step is based on 'RcppArmadillo'.

Title: Regularized Wasserstein Distances and Barycenters
Description: Computations of Sinkhorn Distances (upper bounds to the Wasserstein Distance a.k.a. Earth Mover's Distance) and Wasserstein Barycenters. Relevant papers are Marco Cuturi (2013) <arXiv:1306.0895> and Marco Cuturi (2014) <arXiv:1310.4375>. To speed up the computation time the main iteration steps are based on 'RcppArmadillo'.

Description: Computations of entropy regularized Wasserstein Distances, a.k.a. dual-Sinkhorn divergences, and entropy regularized Wasserstein Barycenters. Relevant papers are Marco Cuturi (2013) <arXiv:1306.0895>, Marco Cuturi (2014) <arXiv:1310.4375> and Jason Altschuler et al. <arXiv:1705.09634>.

Description: Computations of Sinkhorn Distances (upper bounds to the Wasserstein Distance a.k.a. Earth Mover's Distance) and regularized Wasserstein Barycenters. Relevant papers are Marco Cuturi (2013) <arXiv:1306.0895>, Marco Cuturi (2014) <arXiv:1310.4375> and Jason Altschuler et al. <arXiv:1705.09634>. To speed up the computation time the main iteration steps are based on 'RcppArmadillo'.