Title: Functions to fit mixtures of regressions.
Description: Fits mixtures of one-variable regressions (which has
been described as doing ANCOVA when you don't know the levels).
Packaged: Sat May 22 10:55:52 2004; rolf

Description: Fits mixtures of (possibly multivariate) regressions
(which has been described as doing ANCOVA when you don't
Packaged: Tue Sep 12 12:32:37 2006; rolf

(which has been described as doing ANCOVA when you don't know

Title: Functions to Fit Mixtures of Regressions

Title: Forensic Genetics DNA Mixture Separation
Description: Separates DNA mixtures using a statistical model within a
Depends: R (>= 2.0.0), tcltk, tcltk2, MASS, RODBC

Depends: R (>= 2.0.0), tcltk, tcltk2, MASS

greedy algorithm with a useful tcl/tk GUI.

Title: Fitting finite mixture of scale mixture of skew-normal
Author: Marcos Prates <marcos.prates@uconn.edu>, Victor Lachos
Description: Functions to fit finite mixture of scale mixture of

Packaged: Fri Jul 2 22:40:03 2010; hlachos

Packaged: Wed Jun 1 23:44:53 2011; mprates

Author: Marcos Prates <marcosop@ime.unicamp.br>, Victor Lachos
Packaged: Fri Jun 3 08:27:40 2011; mprates

Author: Marcos Prates <marcosop@est.ufmg.br>, Victor Lachos

Title: Fitting Finite Mixture of Scale Mixture of Skew-Normal
Author: Marcos Prates [aut, cre, trl], Victor Lachos [aut], Celso Cabral [aut]

Description: Functions to fit finite mixture of scale mixture of skew-normal (FM-SMSN) distributions, details in Prates, Lachos and Cabral (2013) <doi: 10.18637/jss.v054.i12>, Cabral, Lachos and Prates (2012) <doi:10.1016/j.csda.2011.06.026> and Basso, Lachos, Cabral and Ghosh (2010) <doi:10.1016/j.csda.2009.09.031>.

Title: Sequential Quadratic Programming for Fast Maximum-Likelihood
Description: Provides optimization algorithms based on sequential
quadratic programming (SQP) for maximum likelihood estimation of the
mixture proportions in a finite mixture model where the component
densities are known. The algorithms are expected to obtain solutions
that are at least as accurate as the state-of-the-art MOSEK
interior-point solver (called by function "KWDual" in the 'REBayes'
package), and they are expected to arrive at solutions more quickly
in large data sets. The algorithms are described in Y. Kim,
P. Carbonetto, M. Stephens & M. Anitescu (2012) <arXiv:1806.01412>.
Suggests: Rmosek, REBayes, testthat, knitr, rmarkdown