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ebci (version 1.0.0)

Robust Empirical Bayes Confidence Intervals

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, Kolesr and Plagborg-Mller (2020) .

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Install

install.packages('ebci')

Monthly Downloads

160

Version

1.0.0

License

MIT + file LICENSE

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Maintainer

Michal Koles<c3><a1>r

Last Published

September 6th, 2021

Functions in ebci (1.0.0)

cz

Neighborhood effects data from Chetty and Hendren (2018)
cva

Compute average coverage critical value under moment constraints.
ebci

Compute empirical Bayes confidence intervals by shrinking toward regression