NPMLEmix: 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” <arXiv:1810.07897v2>.

Version: 1.1
Depends: R (≥ 3.0.1), Rmosek
Imports: R.utils, dplyr, spatstat, methods, latexpdf, Matrix, FDRreg, Rcpp, REBayes, CAMAN, progress, pbapply, Hmisc, pracma, mosaic
Published: 2020-11-26
Author: Nabarun Deb [aut, cre], Sujayam Saha [ctb], Adityanand Guntuboyina [ctb], Bodhisattva Sen [ctb]
Maintainer: Nabarun Deb <nd2560 at columbia.edu>
License: GPL-2
URL: https://github.com/NabarunD/NPMLEmix
NeedsCompilation: no
SystemRequirements: MOSEK (http://www.mosek.com) and MOSEK license.
CRAN checks: NPMLEmix results

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Reference manual: NPMLEmix.pdf
Package source: NPMLEmix_1.1.tar.gz
Windows binaries: r-devel: NPMLEmix_1.1.zip, r-release: NPMLEmix_1.1.zip, r-oldrel: not available
macOS binaries: r-release: NPMLEmix_1.1.tgz, r-oldrel: NPMLEmix_1.1.tgz

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