idx2parm: idx2parm

In Rapex2017/apexsensun: Uncertainty and Sensitivity Analysis for Agricultural Policy/Environmental eXtender Model (APEX)

Description

Derives posterior distribution using prior distribution and vector of accepted indices.

Usage

idx2parm(xMat, idxAccept)

Arguments

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.

Value

A data.frame object containing posterior distribution.

Examples

## 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)

Rapex2017/apexsensun documentation built on May 4, 2019, 6:39 p.m.