run.meta.analysis.Rd
Run meta analysis
run.meta.analysis(pfts, iterations, random = TRUE, threshold = 1.2, dbfiles, database)
pfts | the list of pfts to get traits for |
---|---|
iterations | the number of iterations for the mcmc analysis |
random | should random effects be used? |
threshold | Gelman-Rubin convergence diagnostic, passed on to
|
dbfiles | location where previous results are found |
database | database connection parameters |
nothing, as side effect saves trait.mcmc
created by
pecan.ma
and post.distns created by
approx.posterior(trait.mcmc, ...)
to trait.mcmc.Rdata \
and post.distns.Rdata, respectively