Individual Meta-analysis

single.MA(data, j.chains, j.iter, tauA, tauB, prior, jag.model.file,
  overdispersed = TRUE)

Arguments

data
j.chains

number of chains in meta-analysis

j.iter

number of mcmc samples

tauA

prior on variance parameters

tauB

prior on variance parameters

prior

data.frame with columns named 'distn', 'parama', 'paramb' e.g. prior <- data.frame(distn = 'weibull', parama = 0.5, paramb = 10, n = 1)

jag.model.file

file to which model will be written

overdispersed

if TRUE (default), chains start at overdispersed locations in parameter space (recommended)

Value

jags.out, an mcmc.object with results of meta-analysis

Details

Individual meta-analysis for a specific trait and PFT is run by the function single.MA. This will allow power analysis to run repeated MA outside of the full loop over traits and PFTs.