netbenchmark_1.1.0
    - First version of the netbenchmark package
    For a given list of network inference algorithms, \code{netbenchmark} 
    performs a benchmark between them. It makes use of four different big gene 
    datasources, it relies on a random subsampling of each one of the 
    datasource and noise addition in order to generate the datasets. 
    This package is licensed under a Creative Commons 
    Attribution-NonCommercial-ShareAlike 4.0 Unported License.
netbenchmark_1.1.1
    - Fixing errors in documentation
    - Adding avaible datasources in documentation
netbenchmark_1.1.2
    - Adding routine to easily register wrapper functions
netbenchmark_1.1.3
    - Adding routine to easily unregister wrapper functions
netbenchmark_1.1.4
    - Adding function to run inference methods to user defined expression data 
    and its corresponding true regulatory network with \code{netbenchmark.data} 
netbenchmark_1.1.5
    - Better handling of ties between predictions in evaluation
    - It is possible to specify the ranges of local.noise and global.noise
    - Bug fix in noise.bench.R, using the whole datasource
    - Better summary table in netbenchmark.R
    - Adding verbose option to all the benchmarks
netbenchmark_1.1.6
    - New web
netbenchmark_1.1.7
    - Fixing errors in documentation
    - Adding avaible datasources in documentation
    - Fix GeneNet compatibility (1.2.13)
    - New web
netbenchmark_1.1.9
    - Updating citation
