# -------------------------------------------------------------------------------
# This file is part of Rotsf.
#
# Rotsf is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Rotsf is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Rotsf. If not, see <http://www.gnu.org/licenses/>.
#
# Written by:
#
# Hong Wang
#
# http://www.csu.edu.cn
# wh@csu.edu.cn
# -------------------------------------------------------------------------------
##' Prediction with new data and return a saved forest with survival proability at.
##' Each unique time points
##' @export
rotsfpca.surv_predict <-
function(rotsfpcafit,newdata,uniquetimes,trlength=500){
trees=rotsfpcafit$pectrees
rotms=rotsfpcafit$rotms
rii=rotsfpcafit$rii
if (trlength>length(rotsfpcafit$rotms))
stop("Number of Trees for prediction should not be more than Number of Trees Fitted")
# Preparing testpre dataframe
testpre <- matrix(0,nrow = dim(newdata)[1], ncol= length(uniquetimes))
colnames(testpre)=paste0(uniquetimes)
for (i in 1:trlength) {
#if (oobacc[i]<=avroobacc)
{
# preparing for testing
rmatrix2=as.matrix(newdata) %*% t(rotms[[i]])
rmatrixnew2=as.data.frame(rmatrix2)
colnames(rmatrixnew2)=colnames(newdata)
predicts=predictSurvProb(trees[[i]],rmatrixnew2,uniquetimes)
#convert all NA into zero
predicts[is.na(predicts)]=0
colnames(predicts)=paste0(uniquetimes)
#print((predicts[1,100]))
testpre<-testpre+predicts
}
}
return(testpre/trlength)
}
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