Run meta analysis

run.meta.analysis(pfts, iterations, random = TRUE, threshold = 1.2,
  dbfiles, database)

Arguments

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 pecan.ma.summary

dbfiles

location where previous results are found

database

database connection parameters

Value

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