noweiAvg: Averages over the Ensemble Predictions of Mixed Models (No...

In lspatial/sptemUS: Constrained Spatiotemporal Mixed-Effect Models for Exposure Estimation of Air Pollutants

Description

Average and standard deviation of multiple models by ensemble learning.

Usage

noweiAvg(path, preStr = "preno2", idStr = "id", dateStr = "s_date")

Arguments

path	Path for the prediction files from multiple models with the unified format and field names. File format: CSV with head:(gid,rid,pre)
preStr	prediction field names
idStr	unique identifier string
dateStr	date string. You can set it as the same as idStr

Value

id and corresponding mean and standard deviation. Format: dataframe

Author(s)

Lianfa Li: [e-mail]

Examples

# Generate the prediction dataset, but you can use parATimePredict function
# to make the prediction in application

dPath=tempdir()
pPath=paste(dPath,"/preds",sep="")
unlink(pPath, recursive=TRUE, force=TRUE)
dir.create(pPath)

nr=2000
for(i in c(1:80)){ # i =1
  dset=data.frame(gid=c(1:nr),rid=sample(c(1:30),size=nr,replace=TRUE))
  dset$pre=dset$gid%%80+rnorm(nr,mean=5,sd=9)+runif(nr,0,1)
  afile=paste(pPath,"/m_",i,".csv",sep="")
  write.csv(dset,file=afile,row.names = FALSE)
}
result=noweiAvg(pPath, preStr="pre",idStr="gid",dateStr="gid")

lspatial/sptemUS documentation built on May 29, 2019, 3:42 a.m.