ebTobit
Empirical Bayesian Tobit Matrix Estimation
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2 |
rolling source/ R- | ebTobit_1.0.2.tar.gz |
70.9 KiB |
1.0.2 |
latest source/ R- | ebTobit_1.0.2.tar.gz |
70.9 KiB |
1.0.2 |
2026-04-09 windows/windows R-4.5 | ebTobit_1.0.2.zip |
561.5 KiB |