mlm4omics

This package is for version 3.8 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see mlm4omics.

Multilevel Model for Multivariate Responses with Missing Values


Bioconductor version: 3.8

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.

Author: Irene Zeng [aut, cre], Thomas Lumley [ctb]

Maintainer: Irene SL Zeng <i.zeng at auckland.ac.nz>

Citation (from within R, enter citation("mlm4omics")):

Installation

To install this package, start R (version "3.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("mlm4omics")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF
NEWS Text

Details

biocViews Bayesian, Classification, CopyNumberVariation, ImmunoOncology, MassSpectrometry, Proteomics, Regression, Software
Version 1.0.1
In Bioconductor since BioC 3.8 (R-3.5) (5.5 years)
License GPL-3
Depends R (>= 3.5.0), Rcpp (>= 0.12.17), methods, stats
Imports rstan (>= 2.17.3), rstantools (>= 1.5.0), MASS, Matrix, stats4, ggplot2
System Requirements GNU make
URL https://doi.org/10.1101/153049
See More
Suggests testthat, BiocStyle, knitr, rmarkdown, roxygen2 (>= 5.0.0)
Linking To StanHeaders (>= 2.17.2), rstan (>= 2.17.3), BH (>= 1.66.0-1), Rcpp (>= 0.12.17), RcppEigen (>= 0.3.3.4.0)
Enhances
Depends On Me
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Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary mlm4omics_1.0.1.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/mlm4omics
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mlm4omics
Bioc Package Browser https://code.bioconductor.org/browse/mlm4omics/
Package Short Url https://bioconductor.org/packages/mlm4omics/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.8 Source Archive