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.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.3.0) |
| Imports: | Rcpp (≥ 1.0.10), RcppParallel, stats |
| LinkingTo: | Rcpp, RcppArmadillo, RcppParallel |
| Suggests: | REBayes |
| Published: | 2024-05-03 |
| DOI: | 10.32614/CRAN.package.ebTobit |
| Author: | Alton Barbehenn 
[aut, cre],
Sihai Dave Zhao [aut] |
| Maintainer: | Alton Barbehenn <altonbarbehenn at gmail.com> |
| BugReports: | https://github.com/barbehenna/ebTobit/issues |
| License: | GPL-3 |
| URL: | https://github.com/barbehenna/ebTobit |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | ebTobit results |
Documentation:
| Reference manual: | ebTobit.pdf |
Downloads:
| Package source: | ebTobit_1.0.2.tar.gz |
| Windows binaries: | r-devel: ebTobit_1.0.2.zip, r-release: ebTobit_1.0.2.zip, r-oldrel: ebTobit_1.0.2.zip |
| macOS binaries: | r-release (arm64): ebTobit_1.0.2.tgz, r-oldrel (arm64): ebTobit_1.0.2.tgz, r-release (x86_64): ebTobit_1.0.2.tgz, r-oldrel (x86_64): ebTobit_1.0.2.tgz |
| Old sources: | ebTobit archive |
Linking:
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