BileAcid

<p>A bile acid data set taken from Lei et al. (2018)
tools:::Rd_expr_doi("https://doi.org/10.1096/fj.201700055R") via Wei et al. (2018)
tools:::Rd_expr_doi("https://doi.org/10.1371/journal.pcbi.1005973")
(corresponding GitHub repository: https://github.com/WandeRum/GSimp). The 
values in <code>BileAcid</code> can be assumed to be independent log-normal 
measurements.</p>

datasets

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.

Alton Barbehenn

ebTobit

Empirical Bayesian Tobit Matrix Estimation

Sihai Dave Zhao

BileAcid function

<p>A data frame with 198 rows and 34 variables. Each row is a patient id
and each column is an bile acid measurement.</p>

BileAcid: Bile Acid Data

Description

Usage

Arguments

Format