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.
|Author||Nabarun Deb <email@example.com> Sujayam Saha <firstname.lastname@example.org> Adityanand Guntuboyina <email@example.com> Bodhisattva Sen <firstname.lastname@example.org>|
|Maintainer||Nabarun Deb <email@example.com> Sujayam Saha <firstname.lastname@example.org> Adityanand Guntuboyina <email@example.com> Bodhisattva Sen <firstname.lastname@example.org>|
|Package repository||View on GitHub|
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