predict.jcr_forest <- function(forest,newdata){
# tests:
# 1. number of columns
# possibly: is x numeric?
nsample <- nrow(newdata)
newdata <- data.matrix(newdata)
pred.out <- .C("forestpred",
x=newdata,
yc=numeric(nsample),
yf=matrix(integer(nsample * forest$nclass),nrow=forest$nclass),
nclass=forest$nclass,
nsample=as.integer(nsample),
ldaughter=forest$ldaughter,
rdaughter=forest$rdaughter,
yf_pred=forest$yf_pred,
yc_pred=forest$yc_mu_pred,
ntree = as.integer(forest$ntree),
nrnodes = as.integer(forest$nrnodes),
node_var = forest$node_var,
node_xvar = forest$node_xvar,
PACKAGE="JCRForest"
)
return(pred.out)
}
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