mixSQP: Estimate mixture proportions of a mixture model using mix-SQP...

In stephens999/ashr: Methods for Adaptive Shrinkage, using Empirical Bayes

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

Description

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

Usage

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

Arguments

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.

Value

A list object including the estimates (pihat) and a flag (control) indicating convergence success or failure.

stephens999/ashr documentation built on May 16, 2024, 3:10 a.m.