simpact.config.inputs: Simpact config input parameters to be estimated.

In wdelva/RSimpactHelp: Pre- and Post-simulation helper functions for RSimpact Cyan

Description

This is the first step in setting up for the multivator/emulator parameter estimation. The user needs to list all the parameters that needs to be estimated and also specify the boundaries for these parameters The dataframe that is returned includes the design matrix ([0,1] random numbers for each parameter) and the specific parameter value that will be used to run simpact

Usage

simpact.config.inputs(design.points = 10, resample.count = 1, ...)

Arguments

design.points	the number simulation rows that needs to be perfomed by the simpact.run
resample.count	replace the samples with these number of resample
...	standard varied simpact parameters

Value

dataframe with varied parameter values to be used with simpact.run

Examples

input.varied.params <- simpact.config.inputs(conception.alpha_base = c(-3.6, -1.2),
formation.hazard.agegapry.baseline = c(1.5, 3), person.eagerness.man.dist.gamma.a = c(0.1, 2),
person.eagerness.man.dist.gamma.b = c(5, 60),
formation.hazard.agegapry.numrel_man = c(-1.5, -0.1),
formation.hazard.agegapry.eagerness_diff = c(-0.1, 0),
formation.hazard.agegapry.gap_factor_man_exp = c(-1.5, -0.4),
person.agegap.man.dist.normal.mu = c(0, 4), person.agegap.woman.dist.normal.mu = c(0, 4),
person.agegap.man.dist.normal.sigma = c(0.5,2),person.agegap.woman.dist.normal.sigma =c(0.5,2))

wdelva/RSimpactHelp documentation built on Dec. 26, 2019, 3:42 a.m.