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>.
|Author||Nabarun Deb [aut, cre], Sujayam Saha [ctb], Adityanand Guntuboyina [ctb], Bodhisattva Sen [ctb]|
|Maintainer||Nabarun Deb <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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