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ebTobit  

Empirical Bayesian Tobit Matrix Estimation
View on CRAN: Click here


Download and install ebTobit package within the R console
Install from CRAN:
install.packages("ebTobit")

Install from Github:
library("remotes")
install_github("cran/ebTobit")

Install by package version:
library("remotes")
install_version("ebTobit", "1.0.1")



Attach the package and use:
library("ebTobit")
Maintained by
Alton Barbehenn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-15
Latest Update: 2023-06-15
Description:
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) . Additional, lower-level functionality based on Kiefer and Wolfowitz (1956) and Jiang and Zhang (2009) is provided that can be used to accelerate many empirical Bayes and nonparametric maximum likelihood problems.
How to cite:
Alton Barbehenn (2023). ebTobit: Empirical Bayesian Tobit Matrix Estimation. R package version 1.0.1, https://cran.r-project.org/web/packages/ebTobit
Previous versions and publish date:
1.0.1 (2023-06-15 09:30)
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