Description Usage Arguments Value Examples
Derives posterior distribution using prior distribution and vector of accepted indices.
1 | idx2parm(xMat, idxAccept)
|
xMat |
A data.frame object containing prior parameter distributions(i.e. prior distribution can be retrived from the output of MC4APEX function). |
idxAccept |
An integer vector containing accepted simulation numbers. |
A data.frame object containing posterior distribution.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ## Not run:
# Creating a copy of tutorial folder:
getExampleFolder()
# Creating a list for setting inputs:
globalInput <- inputGen()
# Setting parameter bounds:
globalInput$apexPARM$Root_growth_soil[1] = 0.15
globalInput$apexPARM$Root_growth_soil[2] = 0.2
globalInput$apexPARM$Soil_evap_plant_cover[1] = 0
globalInput$apexPARM$Soil_evap_plant_cover[2] = 0.5
# Performing Monte Carlo simulation:
input4SA <- APEXSENSUN::mc4APEX(globalInput)
# Creating posterior distribution:
posteriorParms <- idx2parm(xMat =input4SA$gsaObject$X,
idxAccept = c(20,23,56,776))
## End(Not run)
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