Description Usage Arguments Details Value
View source: R/pvdiv_mash_results.R
Return the estimated mixture proportions. Use get_estimated_pi to extract the estimates of the mixture proportions for different types of covariance matrix. This tells you which covariance matrices have most of the mass.
1 | get_estimated_pi(m, dimension = c("cov", "grid", "all"))
|
m |
the mash result |
dimension |
indicates whether you want the mixture proportions for the covariances, grid, or all |
If the fit was done with usepointmass=TRUE
then the first
element of the returned vector will correspond to the null, and the
remaining elements to the non-null covariance matrices. Suppose the fit
was done with $K$ covariances and a grid of length $L$. If
dimension=cov
then the returned vector will be of length $K$
(or $K+1$ if usepointmass=TRUE
). If dimension=grid
then
the returned vector will be of length $L$ (or $L+1$). If
dimension=all
then the returned vector will be of length $LK$ (or
$LK+1$). The names of the vector will be informative for which
combination each element corresponds to.
a named vector containing the estimated mixture proportions.
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