Title: Distributed Gaussian Process Calculations
Description: Distributes Gaussian process calculations across nodes
in a distributed memory setting, using Rmpi. The bigGP class
provides high-level methods for maximum likelihood with normal data,
prediction, calculation of uncertainty (i.e., posterior covariance
calculations), and simulation of realizations. In addition, bigGP
provides an API for basic matrix calculations with distributed
covariance matrices, including Cholesky decomposition, back/forwardsolve,

Title: R Tool for Factoring Big Integers
Description: Features the multiple polynomial quadratic sieve algorithm
returns the complete factorization of an integer. Utilizes the C
library GMP (GNU Multiple Precision Arithmetic) and classes created
by Antoine Lucas et al. found in the 'gmp' package.
Suggests: testthat, numbers (>= 0.6-6), RcppAlgos (>= 1.0.1)
Packaged: 2018-04-11 20:32:11 UTC; josephwood

Packaged: 2018-04-25 16:00:12 UTC; josephwood

Packaged: 2018-04-30 15:22:11 UTC; josephwood

Title: Optimized Kernel Regularized Least Squares
Author: Pete Mohanty and Robert B. Shaffer
Description: Functions for Kernel-Regularized Least Squares optimized for speed and memory usage are provided along with visualization tools.
For working papers, sample code, and recent presentations visit <https://sites.google.com/site/petemohanty/software/>.
Imports: Rcpp (>= 0.12.4), biganalytics, bigalgebra, shiny, parallel,
LinkingTo: Rcpp, RcppArmadillo, bigmemory, BH

Authors@R: c(person("Pete", "Mohanty", role = c("aut", "cre"),
person("Robert", "Shaffer", role = "aut",

For working papers, sample code, and recent presentations visit <https://sites.google.com/site/petemohanty/software/>. bigKRLS, as well its dependencies, require current versions of R and its compilers (and RStudio if used). For details, see <https://github.com/rdrr1990/code/blob/master/bigKRLS_installation.md>.
Imports: bigalgebra, biganalytics, ggplot2, parallel, Rcpp (>= 0.12.4),

Authors@R: c(person("Pete", "Mohanty", role = c("aut", "cre"), email = "pete.mohanty@gmail.com"), person("Robert", "Shaffer", role = "aut", email = "rbshaffer@utexas.edu"))
Description: Functions for Kernel-Regularized Least Squares optimized for speed and memory usage are provided along with visualization tools. For working papers, sample code, and recent presentations visit <https://sites.google.com/site/petemohanty/software/>. bigKRLS, as well its dependencies, require current versions of R and its compilers (and RStudio if used). For details, see <https://github.com/rdrr1990/bigKRLS/blob/master/INSTALL.md>.
Author: Pete Mohanty [aut, cre], Robert Shaffer [aut]