NabarunD/NPMLEmix: NONPARAMETRIC ESTIMATION IN A TWO-GROUPS MIXTURE MODEL WITH COVARIATES
We develop three procedures for estimation in a two-groups model with covariates (see Scott et al 2015). 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 a more detailed exposition, see corresponding paper: "Two-component Mixture Model in the Presence of Covariates"- Nabarun Deb, Sujayam Saha, Adityanand Guntuboyina, Bodhisattva Sen. It is MANDATORY to have a moseK license in order to use this package.
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Package details |
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| Author | Nabarun Deb <nd2560@columbia.edu> Sujayam Saha <sujayam@berkeley.edu> Adityanand Guntuboyina <aditya@stat.berkeley.edu> Bodhisattva Sen <bodhi@stat.columbia.edu> |
| Maintainer | Nabarun Deb <nd2560@columbia.edu> Sujayam Saha <sujayam@berkeley.edu> Adityanand Guntuboyina <aditya@stat.berkeley.edu> Bodhisattva Sen <bodhi@stat.columbia.edu> |
| License | GPL-2 |
| Version | 1.1.1 |
| URL | https://github.com/NabarunD/NPMLEmix |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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