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: | 1.2 |
| Depends: | R (≥ 3.0.1), Rmosek |
| Imports: | R.utils, dplyr, spatstat, methods, latexpdf, Matrix, FDRreg, Rcpp, REBayes, CAMAN, progress, pbapply, Hmisc, pracma, mosaic |
| Published: | 2020-12-06 |
| 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 |
| Reference manual: | NPMLEmix.pdf |
| Package source: | NPMLEmix_1.2.tar.gz |
| Windows binaries: | r-devel: NPMLEmix_1.2.zip, r-release: NPMLEmix_1.2.zip, r-oldrel: not available |
| macOS binaries: | r-release: NPMLEmix_1.2.tgz, r-oldrel: NPMLEmix_1.2.tgz |
| Old sources: | NPMLEmix archive |
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