mixSQP: Estimate mixture proportions of a mixture model using mix-SQP...
In ashr: Methods for Adaptive Shrinkage, using Empirical Bayes

mixSQP

R Documentation

Estimate mixture proportions of a mixture model using mix-SQP algorithm.

Estimate mixture proportions of a mixture model using mix-SQP algorithm.

mixSQP(matrix_lik, prior, pi_init = NULL, control = list(), weights = NULL)

`matrix_lik`	A matrix containing the conditional likelihood values, possibly normalized.
`prior`	A vector of the parameters of the Dirichlet prior on the mixture weights.
`pi_init`	The initial estimate of the mixture weights.
`control`	A list of settings for the mix-SQP optimization algorithm; see `mixsqp` for details.
`weights`	The weights to be assigned to the observations. Must be a vector of length equal the number of rows of `matrix_lik`. If `weights = NULL`, all observations are assigned the same weight.