run.meta.analysis.Rd
This will use the following items from settings:
settings$pfts
settings$database$bety
settings$database$dbfiles
settings$meta.analysis$update
run.meta.analysis(
pfts,
iterations,
random = TRUE,
threshold = 1.2,
dbfiles,
database,
use_ghs = TRUE,
update = FALSE
)
the list of pfts to get traits for
the number of iterations for the mcmc analysis
should random effects be used?
Gelman-Rubin convergence diagnostic, passed on to
pecan.ma.summary
location where previous results are found
database connection parameters
do not exclude greenhouse data if TRUE
logical: Rerun the meta-analysis if result files already exist?
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