This software can be used in two situations. The first is to predict the next outcome based on the previous states of a discrete sequence. The second is to classify a discrete response  based on a number of discreate covariates. In both situations, we use Bayesian logistic regression models that consider the high-order interactions. The models are trained with slice sampling method, a variant of Markov chain Monte Carlo. The time arising from using high-order interactions is reduced greatly by our compression technique that represents a group of original parameters as a single one in MCMC step.

This software can be used in two situations. The first is
to predict the next outcome based on the previous states of a
discrete sequence. The second is to classify a discrete
response based on a number of discreate covariates. In both
situations, we use Bayesian logistic regression models that
consider the high-order interactions. The models are trained
with slice sampling method, a variant of Markov chain Monte
Carlo. The time arising from using high-order interactions is
reduced greatly by our compression technique that represents a
group of original parameters as a single one in MCMC step.

Bayesian Purity Model to Estimate Tumor Purity
Jianzhao Gao and Xiaodan Fan <gaojz@nankai.edu.cn>
Bayesian purity model to estimate tumor purity using methylation
array data (DNA methylation Infinium 450K array data) without reference samples.

c(person(given = "Manoel",
family = "Santos-Neto",
role = c("aut", "cre"),
email = "manoel.ferreira@professor.ufcg.edu.br"),
person(given = "Marcelo",
family = "Bourguignon",
role = "aut",
email = "m.p.bourguignon@gmail.com"),
person(given = "Mário",
family = "de Castro",
role = "aut",
email = "mcastro@icmc.usp.br"),
person(given = "Tales",
family = "Ribeiro-Bezerra",
role = "aut",
email = "talesoriebir@gmail.com"))
Manoel Santos-Neto [aut, cre],
Marcelo Bourguignon [aut],
Mário de Castro [aut],
Tales Ribeiro-Bezerra [aut]
A new regression model for positive random variables with skewed
and long tail.
base, extraDistr, gamlss, gamlss.dist, ggplot2, Deriv, dplyr,
graphics, pracma