View source: R/predict.ecoNP.R
predict.ecoNP  R Documentation 
Obtains outofsample posterior predictions under the fitted nonparametric
Bayesian model for ecological inference. predict
method for class
ecoNP
and ecoNPX
.
## S3 method for class 'ecoNP' predict( object, newdraw = NULL, subset = NULL, obs = NULL, verbose = FALSE, ... )
object 
An output object from 
newdraw 
An optional list containing two matrices (or three
dimensional arrays for the nonparametric model) of MCMC draws of μ
and Σ. Those elements should be named as 
subset 
A scalar or numerical vector specifying the row number(s) of

obs 
An integer or vector of integers specifying the observation
number(s) whose posterior draws will be used for predictions. The default is

verbose 
logical. If 
... 
further arguments passed to or from other methods. 
The posterior predictive values are computed using the Monte Carlo sample
stored in the eco
or ecoNP
output (or other sample if
newdraw
is specified). Given each Monte Carlo sample of the
parameters, we sample the vectorvalued latent variable from the appropriate
multivariate Normal distribution. Then, we apply the inverse logit
transformation to obtain the predictive values of proportions, W. The
computation may be slow (especially for the nonparametric model) if a large
Monte Carlo sample of the model parameters is used. In either case, setting
verbose = TRUE
may be helpful in monitoring the progress of the code.
predict.eco
yields a matrix of class predict.eco
containing the Monte Carlo sample from the posterior predictive distribution
of inner cells of ecological tables. summary.predict.eco
will
summarize the output, and print.summary.predict.eco
will print the
summary.
eco
, ecoNP
, summary.eco
, summary.ecoNP
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