allom.predict

Function for making tree-level Monte Carlo predictions from allometric equations estimated from the PEcAn allometry module

allom.predict(object, dbh, pft = NULL, component = NULL, n = NULL,
  use = "Bg", interval = "prediction", single.tree = FALSE)

Arguments

object	Allometry model object. Option includes 'list of mcmc' - mcmc outputs in a list by PFT then component 'vector of file paths' - path(s) to AllomAve RData files 'directory where files are located -
dbh	Diameter at Breast Height (cm)
pft	Plant Functional Type. Needs to match the name used in AllomAve. Can be NULL if only one PFT/species exists, otherwise needs to the same length as dbh
component	Which component to predict. Can be NULL if only one component was analysed in AllomAve.
n	Number of Monte Carlo samples. Defaults to the same number as in the MCMC object
use	c('Bg','mu','best')
interval	c('none','confidence','prediction') default is prediction

Value

matrix of Monte Carlo predictions that has n rows and one column per DBH

Examples

# NOT RUN {
# }
# NOT RUN {
  object = '~/Dropbox//HF C Synthesis/Allometry Papers & Analysis/'
  dbh = seq(10,50,by=5)
  mass = allom.predict(object,dbh,n=100)

# }# NOT RUN {
# }