To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("networkBMA")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
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, 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")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("networkBMA")
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 |
biocViews | Bayesian, GeneExpression, GeneTarget, GraphsAndNetwork, Network, NetworkInference, Software |
Version | 1.10.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (3 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) |
Imports | |
LinkingTo | Rcpp, RcppArmadillo, RcppEigen |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | DREAM4 |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | networkBMA_1.10.0.tar.gz |
Windows Binary | networkBMA_1.10.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | networkBMA_1.10.0.tgz |
Mac OS X 10.9 (Mavericks) | networkBMA_1.10.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/networkBMA/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/networkBMA/ |
Package Downloads Report | Download Stats |
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