Title: Glm Fitting and Variable Selection using 'RcppArmadillo'
Authors@R: person("Jacob", "Seedorff", , "jwseedorff@uiowa.edu", role = c("aut", "cre"))
Description: Fits glms using 'RcppArmadillo', can use Fisher's scoring, BFGS, or L-BFGS.
Can also make use of parallel computation to speed up fitting process via 'OpenMP'.
Also can perform best subset selection with an efficient branch and bound algorithm
that allows best subset selection for more variables.

Title: Efficient Branch and Bound Variable Selection for GLMs using
Description: Performs efficient and scalable glm best
subset selection using a novel implementation of a branch and bound algorithm.
To speed up the model fitting process, a range of optimization
methods are implemented in 'RcppArmadillo'. Parallel computation

Imports: Rcpp (>= 1.0.7), methods, stats, graphics

Title: Simulation and Estimation for Branching Processes
Author: Camilo Jose Torres-Jimenez <cjtorresj@unal.edu.co>
Maintainer: Camilo Jose Torres-Jimenez <cjtorresj@unal.edu.co>
Description: Simulation and parameter estimation of multitype Bienayme - Galton - Watson processes.
Packaged: 2016-05-22 05:27:46 UTC; cjtorresj

Packaged: 2016-12-06 01:27:12 UTC; cjtorresj

Title: Best Brazilian Financial Market Package
Description: Focuses on unifying the main data of the Brazilian financial market in one package this will help the user to make the best investment decisions, for more information <https://brasilmf.herokuapp.com>.
Imports: bizdays, dplyr, rvest, RCurl, xml2

Title: Download and Processing of Automatic Weather Stations (AWS) Data
Description: A compilation of functions to download and processing AWS data of INMET-Brazil, with the purpose of reference evapotranspiration (ETo) estimation. The package aims to make meteorological and agricultural data analysis more parsimonious.
Imports: tidyr, stringr, readxl, dplyr(>= 0.3.0.1)
Author: Roberto Filgueiras [aut, cre] (<https://orcid.org/0000-0002-0186-8907>),
Fernando F. da Cunha [aut] (<https://orcid.org/0000-0002-1671-1021>)