39 lines
1.5 KiB
R
39 lines
1.5 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/mash-evaluation.R
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\name{get_estimated_pi}
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\alias{get_estimated_pi}
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\title{Return the estimated mixture proportions. Use get_estimated_pi to
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extract the estimates of the mixture proportions for different types of
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covariance matrix. This tells you which covariance matrices have most of
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the mass.}
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\usage{
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get_estimated_pi(m, dimension = c("cov", "grid", "all"))
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}
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\arguments{
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\item{m}{the mash result}
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\item{dimension}{indicates whether you want the mixture proportions for the
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covariances, grid, or all}
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}
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\value{
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a named vector containing the estimated mixture proportions.
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}
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\description{
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Return the estimated mixture proportions. Use get_estimated_pi to
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extract the estimates of the mixture proportions for different types of
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covariance matrix. This tells you which covariance matrices have most of
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the mass.
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}
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\details{
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If the fit was done with \code{usepointmass=TRUE} then the first
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element of the returned vector will correspond to the null, and the
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remaining elements to the non-null covariance matrices. Suppose the fit
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was done with $K$ covariances and a grid of length $L$. If
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\code{dimension=cov} then the returned vector will be of length $K$
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(or $K+1$ if \code{usepointmass=TRUE}). If \code{dimension=grid} then
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the returned vector will be of length $L$ (or $L+1$). If
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\code{dimension=all} then the returned vector will be of length $LK$ (or
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$LK+1$). The names of the vector will be informative for which
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combination each element corresponds to.
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}
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