Estimation tools for multidimensional Gaussian means using empirical Bayesian g-modeling. Methods are able to handle fully observed data as well as left-, right-, and interval-censored observations (Tobit likelihood); descriptions of these methods can be found in Barbehenn and Zhao (2023) <doi:10.48550/arXiv.2306.07239>. Additional, lower-level functionality based on Kiefer and Wolfowitz (1956) <doi:10.1214/aoms/1177728066> and Jiang and Zhang (2009) <doi:10.1214/08-AOS638> is provided that can be used to accelerate many empirical Bayes and nonparametric maximum likelihood problems.
Package details |
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Author | Alton Barbehenn [aut, cre] (<https://orcid.org/0009-0000-3364-7204>), Sihai Dave Zhao [aut] |
Maintainer | Alton Barbehenn <altonbarbehenn@gmail.com> |
License | GPL-3 |
Version | 1.0.2 |
URL | https://github.com/barbehenna/ebTobit |
Package repository | View on CRAN |
Installation |
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