Type: Package
Package: ebTobit
Title: Empirical Bayesian Tobit Matrix Estimation
Version: 1.0.2
Date: 2024-05-03
Authors@R: c(
    person("Alton", "Barbehenn", , "altonbarbehenn@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0009-0000-3364-7204")),
    person("Sihai Dave", "Zhao", , "sdzhao@illinois.edu", role = "aut")
  )
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)
        <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.
License: GPL-3
URL: https://github.com/barbehenna/ebTobit
BugReports: https://github.com/barbehenna/ebTobit/issues
Imports: Rcpp (>= 1.0.10), RcppParallel, stats
Suggests: REBayes
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Depends: R (>= 3.3.0)
NeedsCompilation: yes
Packaged: 2026-10-29 09:46:31 UTC; root
Author: Alton Barbehenn [aut, cre]
        (<https://orcid.org/0009-0000-3364-7204>), Sihai Dave Zhao
        [aut]
Maintainer: Alton Barbehenn <altonbarbehenn@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2024-05-04 02:33:10 UTC
RemoteUrl: https://github.com/cran/ebTobit
RemoteRef: HEAD
RemoteSha: bb5929813f446116aef820afa53c02f948876edc