% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/UpdateO.R
\name{UpdateO}
\alias{UpdateO}
\title{UpdateO function undates the Orthogonal matrix and gets to the next step of the Markov chian .}
\usage{
UpdateO(O, G_tilde, G_prior, D_prior, U, omega, omega0,
  allstep = "ALLPOSSIBLEPAIR", discrete = F, MAX_rejection = 1000,
  partition = 4e+05)
}
\arguments{
\item{G_tilde}{}

\item{G_prior}{}

\item{D_prior}{}

\item{O:}{Current value of the Orthogonal matrix.}

\item{U:}{matrix containing the response variables}

\item{omega:}{current value of the omega matrix}

\item{omega0:}{current value of the omega0 matrix}

\item{allStep}{: logical . If TRUE then all pair of columns are updated to generate the output Orthogonal matrix. if TRUE the markov chain
takes time but converges faster. If set to FALSE then only a randomly selected pair is updated.}

\item{discrete:}{logical . If set to True discrete approximation is used without using the rejection sampler. If set to FALSE
then a rejection sampler is used to update 1 pair of column and only in case of too many rejection  the discrete approximation is used.}

\item{Max_rejection:}{This function tries to use a Rejection sampler approach to get a sample from generalized Bingham distribution
In the case of too many rejection the function uses a discrete approximation to generate approximate
 sample from the generalized Bingham distribution. Max_rejection is the maximum number of consecutive rejection
 before using the discrete sampler.}

\item{partiton:}{In the case when the discrete approximation is used partition is the number of partition
considered for the interval 0 to 2*Pi to get approximate disctere distribution to the Generalized bingham distribution.}
}
\description{
UpdateO function undates the Orthogonal matrix and gets to the next step of the Markov chian .
}