Two-Groups Mixture Model with Covariates

We develop three procedures for estimation in a two-groups model with covariates. One of them is a nonparametric maximum likelihood estimation based approach when the signal distribution is an infinite Gaussian location mixture and the signal proportion is a logistic function of the available covariates. Two other functions - marg1() and marg2() have also been implemented for inference in the above framework. All these methods can be used for inference in multiple hypotheses testing. For more information, see the paper: Deb, Saha, Guntuboyina and Sen (2019), ''Two-component Mixture Model in the Presence of Covariates'' .


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1.2 by Nabarun Deb, a month ago

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Authors: Nabarun Deb [aut, cre] , Sujayam Saha [ctb] , Adityanand Guntuboyina [ctb] , Bodhisattva Sen [ctb]

Documentation:   PDF Manual  

GPL-2 license

Imports R.utils, dplyr, spatstat, methods, latexpdf, Matrix, FDRreg, Rcpp, REBayes, CAMAN, progress, pbapply, Hmisc, pracma, mosaic

Depends on Rmosek

System requirements: MOSEK ( and MOSEK license.

See at CRAN