tacks: Beckett & Diaconis tack rolling example.

In stephenslab/mixsqp: Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions

Beckett & Diaconis tack rolling example.

Description

This data set contains the likelihood matrix and weights for the Beckett-Diaconis tacks example, in which the data are modeled using a binomial mixture. These data were generated by running the "Bmix1" demo from the REBayes package, and saving the arguments passed to KWDual, as well as the (normalized) solution returned by the KWDual call.

Format

tacks is a list with the following elements:

L

9 x 299 likelihood matrix.

w

Numeric vector of length 9 specifying the weights associated with the rows of L.

x

Solution provided by the KWDual solver.

Examples

# The optimal solution for the tack example is extremely sparse.
data(tacks)
plot(tacks$x,type = "l",col = "royalblue")

stephenslab/mixsqp documentation built on Jan. 4, 2024, 1 a.m.