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: |
1.2 |
| 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 |
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