Orphaned and corrected on 2018-12-30 as maintainer's
email address bounced.

c(person("Wolfgang", "Kaisers", role=c("aut", "cre"),
email="wolfgang.kaisers@gmail.com",
comment = c(ORCID = "0000-0002-1923-3088")),
person("Heng", "Li", role=c("ctb", "cph"),
email="lh3@sanger.ac.uk"),
person("Jue", "Ruan", role=c("ctb", "cph"),
email="ruanjue@gmail.com"))
Wolfgang Kaisers [aut, cre] (<https://orcid.org/0000-0002-1923-3088>),
Heng Li [ctb, cph],
Jue Ruan [ctb, cph]

Archived on 2014-06-01 as long-standing memory-access
errors were not resolved after several reminders.

Bayesian Trees for Conditional Mean and Variance
c(person('Robert', 'McCulloch', role=c('aut','cre','cph'),email='robert.e.mcculloch@gmail.com'),
person('Matthew', 'Pratola', role=c('aut','cph')), person('Hugh','Chipman',role=c('aut','cph')))
A model of the form Y = f(x) + s(x) Z is fit where functions f and s are modeled with ensembles of trees and Z is standard normal.
This model is developed in the paper 'Heteroscedastic BART Via Multiplicative Regression Trees'
(Pratola, Chipman, George, and McCulloch, 2019, <arXiv:1709.07542v2>).
BART refers to Bayesian Additive Regression Trees. See the R-package 'BART'.
The predictor vector x may be high dimensional.
A Markov Chain Monte Carlo (MCMC) algorithm provides Bayesian posterior uncertainty for both f and s.
The MCMC uses the recent innovations in
Efficient Metropolis--Hastings proposal mechanisms for Bayesian regression tree models
(Pratola, 2015, Bayesian Analysis, <doi:10.1214/16-BA999>).
Robert McCulloch [aut, cre, cph],
Matthew Pratola [aut, cph],
Hugh Chipman [aut, cph]

R Interface to Brazilian Central Bank Web Services
The Brazilian Central Bank API delivers many datasets which regard economic
activity, regional economy, international economy, public finances, credit
indicators and many more. For more information please see <http://dadosabertos.bcb.gov.br/>.
These datasets can be accessed through 'rbcb' functions and can be obtained in
different data structures common to R ('tibble', 'data.frame', 'xts', ...).
httr, jsonlite, tibble, xts, xml2, utils