| sparcc | R Documentation | 
SpiecEasi R package, says in his package that this is "a reimplementation of SparCC algorithm (Friedman et Alm, PLoS Comp Bio, 2012)." Installation of SpiecEasi can sometimes generate errors, so I have included Dr. Huaying Fang's sparcc wrapper as one of the functions in this package for the estimation of co-abundance networks. His code was acquired from CCLasso (Fang et al, Bioinformatics, 2015), provided in GitHub (https://github.com/huayingfang/CCLasso).
sparcc(x, imax = 20, kmax = 10, alpha = 0.1, Vmin = 1e-04)
| x | count data matrix (OTU table) | 
| imax | Number of iterations in the outer loop | 
| kmax | max iteration steps for SparCC | 
| alpha | threshold for strong correlation | 
| Vmin | absolute value of correlations below this threshold are considered zero by the inner SparCC loop. | 
This will estimate an association matrix (network) for observed OTU table.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.