mlm4omics
Bioc removedMultilevel Model for Multivariate Responses with Missing Values
Release Lineage
Entered 3.8 · Oct 31, 2018
Removed after 3.10 · Oct 30, 2019
Description
To conduct Bayesian inference regression for responses with multilevel explanatory variables and missing values; It uses function from 'Stan', a software to implement posterior sampling using Hamiltonian MC and its variation Non-U-Turn algorithms. It implements the posterior sampling of regression coefficients from the multilevel regression models. The package has two main functions to handle not-missing-at-random missing responses and left-censored with not-missing-at random responses. The purpose is to provide a similar format as the other R regression functions but using 'Stan' models.
None published for Bioconductor
Call graph
Open call graph →Code intelligence has not been computed for this package yet.
Code
Code metrics have not been computed for this package yet.
Topics
Available on
People
- Irene Zeng author maintainer
- Thomas Lumley contributor
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("mlm4omics")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.