from count data (ex HMP) fit parameters to OTU margins and simulate a new community with those properties
synth_comm_from_counts(comm, mar = 2, distr, Sigma = cov(comm), params,
n = nrow(comm), retParams = FALSE, ...)community: matrix of counts
the sample margin of the community data matrix (1: rows, 2: cols)
distribution to fit (see fitdistr)
covariance structure (defaults to empirical cov of comm)
optionally supply already fitted parameters
number of samples (defaults to comm samples)
if TRUE, return the fitted parameters
additional parameters to parameter fitting
community