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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 |
Reference manual: | ebTobit.pdf |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.