Packaged: 2021-01-16 23:52:24 UTC; jcrodriguez

Title: Automagically Document and Install Packages Necessary to Run R
Description: Parse R code in a given directory for R packages and attempt to install them from CRAN or GitHub. Optionally use a dependencies file for tighter control over which package versions to install.
Imports: knitr, formatR, pacman, githubinstall, magrittr, dplyr, purrr,

email = "cole.brokamp@gmail.com", role = c("aut", "cre")),
Imports: dplyr, formatR, knitr, magrittr, purrr, remotes, yaml

Description: This package performs an automatic interpolation by
automatically estimating the variogram and then calling gstat.
Packaged: Thu Mar 19 11:13:17 2009; hiemstra

Description: This package performs an automatic interpolation by automatically estimating the variogram and then calling gstat.

Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>
Description: Performs an automatic interpolation by automatically estimating the variogram and then calling gstat.
Imports: gstat, lattice, reshape, methods, ggplot2, maptools

Description: Fits from simple regression to highly customizable deep neural networks
either with gradient descent or metaheuristic, using automatic hyper parameters
A mix inspired by the common tricks on Deep Learning and Particle Swarm Optimization.

Authors@R: person("Alex", "Boulangé", role = c("aut", "cre"), email = "aboul@free.fr")

Title: Autologistic and Automultinomial Spatial Regression and Variable
Author: Stephen Berg [aut, cre], Rao Fu [aut], Jun Zhu [ths]
Description: Contains functions for autologistic variable selection and parameter estimation for spatially correlated categorical data (including k>2). The main function is MPLE. Capable of fitting the centered autologistic model described in Caragea and Kaiser (2009)<doi:10.1198/jabes.2009.07032>, as well as the traditional autologistic model of Besag (1974)<http://www.jstor.org/stable/2984812>.
Imports: graphics, Hmisc, igraph, Matrix, MASS, stats, utils
Suggests: testthat, numDeriv, knitr, rmarkdown