% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/fitted_LB.R
\name{fitted_LB}
\alias{fitted_LB}
\title{Fitted Values for a Logistic Biplot}
\usage{
fitted_LB(object, type = c("link", "response"))
}
\arguments{
\item{object}{An object of class \code{BiplotML}, as returned by
\code{\link{LogBip}}.}

\item{type}{Scale of the fitted values: \code{"link"} for the logit scale
(log-odds) or \code{"response"} for the probability scale. Partial matching
is supported.}
}
\value{
A numeric matrix of fitted values with the same dimensions as the
  original binary matrix.
}
\description{
Computes the fitted (predicted) matrix for a logistic biplot model on either
the logit (log-odds) scale or the probability scale.
}
\examples{
\donttest{
data("Methylation")
LB    <- LogBip(Methylation, plot = FALSE)
Theta <- fitted_LB(LB, type = "link")      # log-odds scale
Pi    <- fitted_LB(LB, type = "response")  # probability scale
}
}
\author{
Giovany Babativa <jgbabativam@unal.edu.co>
}
