teem_wrapper: Fit extreme deconvolution to mash data using TEEM method...
In mashr: Multivariate Adaptive Shrinkage

Description Usage Arguments Value

View source: R/ed.R

This is an internal (non-exported) function. This help page provides additional documentation mainly intended for developers and expert users.

teem_wrapper(
  data,
  Ulist_init,
  subset = NULL,
  w_init = NULL,
  maxiter = 5000,
  converge_tol = 1e-07,
  eigen_tol = 1e-07,
  verbose = FALSE
)

`data`	mash data object
`Ulist_init`	a list of covariance matrices to initialize to
`subset`	the indices of the observations to be used (defaults to all of them)

the fitted mixture: a list of mixture proportions and covariance matrices

mashr documentation built on May 24, 2021, 1:06 a.m.

mashr index

README.md Accounting for correlations among measurements Empirical Bayes matrix factorization for data driven prior eQTL analysis outline Introduction to mash: data-driven covariances Introduction to mashr mashr with common baseline mashr with common baseline at mean Sample from mash posteriors Simulation with non-canonical matrices

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