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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("networkBMA")
In most cases, you don't need to download the package archive at all.
networkBMA
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Regression-based network inference using Bayesian Model Averaging
Bioconductor version: Release (3.5)
An extension of Bayesian Model Averaging (BMA) for network construction using time series gene expression data. Includes assessment functions and sample test data.
Author: Chris Fraley, Wm. Chad Young, Ling-Hong Hung, Kaiyuan Shi, Ka Yee Yeung, Adrian Raftery (with contributions from Kenneth Lo)
Maintainer: Ka Yee Yeung <kayee at u.washington.edu>
Citation (from within R,
enter citation("networkBMA")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("networkBMA")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("networkBMA")
| R Script | networkBMA | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Bayesian, GeneExpression, GeneTarget, GraphsAndNetwork, Network, NetworkInference, Software |
| Version | 2.16.1 |
| In Bioconductor since | BioC 2.11 (R-2.15) (5 years) |
| License | GPL (>= 2) |
| Depends | R (>= 2.15.0), stats, utils, BMA, Rcpp (>= 0.10.3), RcppArmadillo (>= 0.3.810.2), RcppEigen (>= 0.3.1.2.1), leaps |
| Imports | |
| LinkingTo | Rcpp, RcppArmadillo, RcppEigen, BH |
| Suggests | |
| SystemRequirements | liblapack-dev |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | DREAM4 |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | networkBMA_2.16.1.tar.gz |
| Windows Binary | networkBMA_2.16.1.zip (32- & 64-bit) |
| Mac OS X 10.11 (El Capitan) | networkBMA_2.16.1.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/networkBMA |
| Package Short Url | http://bioconductor.org/packages/networkBMA/ |
| Package Downloads Report | Download Stats |
Documentation »
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