mlm4omics

DOI: 10.18129/B9.bioc.mlm4omics    

This package is for version 3.8 of Bioconductor; for the 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 (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("mlm4omics")

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

Documentation

PDF   Reference Manual
Text   NEWS

Details

biocViews Bayesian, Classification, CopyNumberVariation, ImmunoOncology, MassSpectrometry, Proteomics, Regression, Software
Version 1.0.1
In Bioconductor since BioC 3.8 (R-3.5) (0.5 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
LinkingTo StanHeaders (>= 2.17.2), rstan (>= 2.17.3), BH (>= 1.66.0-1), Rcpp (>= 0.12.17), RcppEigen (>= 0.3.3.4.0)
Suggests testthat, BiocStyle, knitr, rmarkdown, roxygen2 (>= 5.0.0)
SystemRequirements GNU make
Enhances
URL https://doi.org/10.1101/153049
Depends On Me
Imports Me
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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 [email protected]:packages/mlm4omics
Package Short Url http://bioconductor.org/packages/mlm4omics/
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