jeff25601/gom: Grade of Membership Mixture Models

Implements the cross-sectional version of the grade of membership mixture model in two different estimation methods: Maximum likelihood, described by Manton, K. G.; Woodbury, M. A. and Tolley, H. D (1994, ISBN: 0471545619) and Guedes, G. R.; Siviero, P. C. L.; Machado, C. J.; Pinto, J. and Rodarte, M. M. S. (2016, ISBN: 9788542301885); and Bayesian by Erosheva, E. A.; Fienberg, S. E. and Joutard, C. (2007) <doi: 10.1214/07-AOAS126>.

Getting started

Package details

MaintainerJeferson Andrade <jeferson@epopea.com.br>
LicenseGPL (>= 3)
Version0.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jeff25601/gom")
jeff25601/gom documentation built on Aug. 27, 2023, 2:38 a.m.