ebci

Description

Computes empirical Bayes confidence estimators and confidence intervals in a normal means model. The intervals are robust in the sense that they achieve correct coverage regardless of the distribution of the means. If the means are treated as fixed, the intervals have an average coverage guarantee. The implementation is based on Armstrong, Kolesár and Plagborg-Møller (2020) <arXiv:2004.03448>.

Downloads

Trend: +25.5% (30d vs prior 30d)

CRAN Check Status

Maintainer: ‘Michal Kolesár <kolesarmi@googlemail.com>’

The Description field contains
  and Plagborg-Møller (2020) <arXiv:2004.03448>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Michal Kolesár <kolesarmi@googlemail.com>’

The Description field contains
  and Plagborg-Møller (2020) <arXiv:2004.03448>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Check History

Maintainer: ‘Michal Kolesár <kolesarmi@googlemail.com>’

The Description field contains
  and Plagborg-Møller (2020) <arXiv:2004.03448>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Michal Kolesár <kolesarmi@googlemail.com>’

The Description field contains
  and Plagborg-Møller (2020) <arXiv:2004.03448>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Version History