person("Peter", "Green", , "P.J.Green@bristol.ac.uk", role = c("aut", "cre"),
Description: A program for Bayesian analysis of univariate normal mixtures with an unknown number
of components, following the approach of Richardson and Green (1997) <doi:10.1111/1467-9868.00095>.
This makes use of reversible jump Markov chain Monte Carlo methods that are capable of jumping
between the parameter sub-spaces corresponding to different numbers of components in the mixture.
A sample from the full joint distribution of all unknown variables is thereby generated,
and this can be used as a basis for a thorough presentation of many aspects of the posterior
Author: Peter Green [aut, cre] (<https://orcid.org/0000-0002-4367-4756>)

person("Sarah", "McGough", email = "sfm341@mail.harvard.edu", role = c("aut", "cre")),
person("Nicolas", "Menzies", email = "nmenzies@hsph.harvard.edu", role = "aut"),
person("Marc", "Lipsitch", email = "mlipsitc@hsph.harvard.edu", role = "aut"),
person("Michael", "Johansson", email = "mjohansson@cdc.gov", role = "aut")
Description: A Bayesian approach to estimate the number of occurred-but-not-yet-reported cases from incomplete, time-stamped reporting data for disease outbreaks. 'NobBS' learns the reporting delay distribution and the time evolution of the epidemic curve to produce smoothed nowcasts in both stable and time-varying case reporting settings, as described in McGough et al. (2019) <doi:10.1101/663823>.
analysis of Bayesian hierarchical models

Title: Label Noise Filters for Data Preprocessing in Classification
person("Pablo", "Morales", email = "pablomoralvarez@gmail.com", role = c("aut")),
person("Julian", "Luengo", email = "julianlm@decsai.ugr.es", role = c("aut","cre")),
person("Luis P.F.", "Garcia", role = c("aut")),
person("Ana C.", "Lorena", role = c("aut")),
person("Andre C.P.L.F.", "de Carvalho", role = c("aut")),
person("Francisco", "Herrera", role = c("aut")))
Description: An extensive implementation of state-of-the-art and classical
algorithms to preprocess label noise in classification problems.
Imports: RWeka, kknn, nnet, caret, e1071, rpart, randomForest, MASS,