Efficient Branch and Bound Variable Selection for GLMs using
'RcppArmadillo'
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
is available using 'OpenMP'.

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

Simulation and Estimation for Branching Processes
Simulation and parameter estimation of multitype Bienayme - Galton - Watson processes.

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>.
c(person(given = "Davi",
family = "Rufino",
role = c("aut", "cre"),
email = "davirufino@gmail.com"),
person(given = "Bernardo",
family = "Volker",
role = "aut"),
person(given = "BrasilMF",
role = c("cph", "fnd")))
Davi Rufino [aut, cre],
Bernardo Volker [aut],
BrasilMF [cph, fnd]

Download and Processing of Automatic Weather Stations (AWS) Data
of INMET-Brazil
c(person(given = "Roberto",
family = "Filgueiras",
role = c("aut","cre"),
email = "betofilgueiras@gmail.com",
comment = c(ORCID = "0000-0002-0186-8907")),
person(given = "Luan P.",
family = "Venancio",
role = ("aut"),
comment = c(ORCID = "0000-0002-5544-8588")),
person(given = "Catariny C.",
family = "Aleman",
role = ("aut"),
comment = c(ORCID = "0000-0002-3894-3077")),
person(given = "Fernando F.",
family = "da Cunha",
role = ("aut"),
comment = c(ORCID = "0000-0002-1671-1021")))
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.
tidyr, stringr, readxl, dplyr(>= 0.3.0.1)
Roberto Filgueiras [aut, cre] (<https://orcid.org/0000-0002-0186-8907>),
Luan P. Venancio [aut] (<https://orcid.org/0000-0002-5544-8588>),
Catariny C. Aleman [aut] (<https://orcid.org/0000-0002-3894-3077>),
Fernando F. da Cunha [aut] (<https://orcid.org/0000-0002-1671-1021>)