Miscellaneous Functions for Bioinformatics and Bayesian
Statistics
person("Andrew", "McKenzie", email = "amckenz@gmail.com", role = c("aut", "cre"))
A hodgepodge of hopefully helpful functions. Two of these perform
shrinkage estimation: one using a simple weighted method where the user can
specify the degree of shrinkage required, and one using James-Stein shrinkage
estimation for the case of unequal variances.

An Implementation of Rubin's (1981) Bayesian Bootstrap
person("Rasmus", "Bååth", email = "rasmus.baath@gmail.com", role = c("aut", "cre"))
Functions for performing the Bayesian bootstrap as introduced by
Rubin (1981) <doi:10.1214/aos/1176345338> and for summarizing the result. The implementation can handle
both summary statistics that works on a weighted version of the data and
summary statistics that works on a resampled data set.

Functions for performing the Bayesian bootstrap as introduced by
Rubin (1981) <doi:10.1214/aos/1176345338> and for summarizing the result.
The implementation can handle both summary statistics that works on a
weighted version of the data and summary statistics that works on a
resampled data set.

c(person(given = "Joao", family = "Melo", role = c("aut", "cre"), email = "pjoao266@gmail.com"),
person(given = "Vinicius", family = "Mayrink", role = "aut", email = "vdinizm@gmail.com"))
Applies the Beta regression model on the Bayesian statistical view, the Beta regression is used when the response variable is a proportion variable, that is, it only accepts values between 0 and 1.
The package 'bayesbr' uses the package 'rstan' to build the Bayesian statistical models. The main function of the package receives as a parameter a form informing the independent variable and the co-variables of the model to be made, as output it returns a list with the results of the model. For more details see Ferrari and Cribari-Neto (2004) <doi:10.1080/0266476042000214501> and Hoffman and Gelman (2014) <arXiv:1111.4246>.
methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>=
2.0.0), coda, tidyr, dplyr, stringr, ggplot2, magrittr, fdrtool
(>= 1.2.15), Formula(>= 1.2-3), loo(>= 2.2.0), RcppParallel
Joao Melo [aut, cre],
Vinicius Mayrink [aut]