Description Usage Arguments Details Value Author(s) See Also Examples
View source: R/Postprocess.R2GUESS.R
The Postprocess.R2GUESS
function calculates the MPPI, the
MPP and lists the best models visited based on a previous run which
has been interrupted due to computing time exceeding the user-defined
limit.
1 |
x |
an object of class |
The Postprocess.R2GUESS
function calculates the MPPI, the
MPP and lists the best models visited based on a previous run which
has been interrupted due to computing time exceeding the user-defined
limit. This function is used to explore results from a run which has
been interrupted and provides intermediate posterior inference for the
MPPI, MPP, and list of best visited models.
An object of class ESS
whose fields are detailed in
as.ESS.object
.
Benoit Liquet, b.liquet@uq.edu.au,
Marc Chadeau-Hyam m.chadeau@imperial.ac.uk,
Leonardo Bottolo l.bottolo@imperial.ac.uk,
Gianluca Campanella g.campanella11@imperial.ac.uk
Resume.R2GUESS, Extend.R2GUESS, as.ESS.object
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | ## Not run:
## First we are creating a run which has been not finished in 1 hour
path.input <- system.file("Input", package="R2GUESS")
path.output <- tempdir()
path.par <- system.file("extdata", package="R2GUESS")
file.par.Hopx <- "Par_file_example_Hopx.xml"
print(paste(path.par,file.par.Hopx,sep=""))
root.file.output.Hopx <- "Example-GUESS-Y-Hopx"
label.Y <- c("ADR","Fat","Heart","Kidney")
data(data.Y.Hopx)
data(data.X)
data(MAP.file)
modelY_Hopx<-R2GUESS(dataY=data.Y.Hopx,dataX=data.X,,choice.Y=1:4,
label.Y=label.Y,MAP.file=MAP.file,file.par=file.par.Hopx,
file.init=NULL,file.log=NULL,root.file.output=root.file.output.Hopx,
path.input=path.input,path.output=path.output,path.par=path.par,
path.init=NULL,nsweep=510000,burn.in=10000,Egam=5,Sgam=5,top=100,
history=TRUE,time=TRUE,nb.chain=3,conf=0,cuda=FALSE,time.limit=1)
modelY_Hopx_postprocess <- Postprocess.R2GUESS(modelY_Hopx)
## End(Not run)
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