% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/IntegMultiReg-package.R
\docType{package}
\name{IntegMultiReg-package}
\alias{IntegMultiReg}
\alias{IntegMultiReg-package}
\title{IntegMultiReg: Integrative Bayesian Multiple Regression for Multi-Platform Biomarkers}
\description{
The \pkg{IntegMultiReg} package implements the integrative multi-regression
(IMR) approach of Chekouo et al. (2017) and extends it from time-to-event
outcomes to continuous (Gaussian) and binary (probit) outcomes.  Subjects
are partitioned into availability subgroups according to which platforms
they have measured, one regression model is built per subgroup, and
information is shared across availability subgroups through a Markov random
field prior on the
variable-selection indicators combined with non-local priors on the
regression coefficients.
}
\details{
The main entry points are:
\describe{
  \item{\code{\link{imr}}}{Fit the model by MCMC and return an object of
    class \code{"imr"}.}
  \item{\code{\link{predict.imr}}}{Predict outcomes for new subjects.}
  \item{\code{\link{cv_imr}}}{Assess predictive performance by
    cross-validation.}
}
Standard methods \code{\link{print.imr}}, \code{\link{summary.imr}},
\code{\link{coef.imr}}, \code{\link{plot.imr}} and \code{\link{predict.imr}}
are provided for the fitted object, together with the stand-alone displays
\code{\link{plot_top_features}} and \code{\link{plot_subgroup_sizes}}.

Jianfeng Wang initiated the R interface that calls the C implementation.
}
\references{
Chekouo T, Stingo FC, Doecke JD, Do K-A (2017). "A Bayesian Integrative
Approach for Multi-Platform Genomic Data: A Kidney Cancer Case Study."
\emph{Biometrics}, \strong{73}(2), 615--624. \doi{10.1111/biom.12587}
}
\author{
\strong{Maintainer}: Thierry Chekouo \email{tchekouo@umn.edu} (\href{https://orcid.org/0000-0002-3594-9182}{ORCID})

Authors:
\itemize{
  \item Sinian Zhang \email{zhan9381@umn.edu}
  \item Jianfeng Wang \email{wan01188@umn.edu}
}

}
\keyword{internal}
