Function for making tree-level Monte Carlo predictions from allometric equations estimated from the PEcAn allometry module
Usage
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
- single.tree
logical: Is this a DBH time series from one individual tree? If TRUE, will use a fixed error for all draws.
Examples
if (FALSE) { # \dontrun{
object = '~/Dropbox//HF C Synthesis/Allometry Papers & Analysis/'
dbh = seq(10,50,by=5)
mass = allom.predict(object,dbh,n=100)
} # }