SimulateDemand: Simulate Demand Data

In brentkaplan/beezdemand: Behavioral Economic Easy Demand

Simulate Demand Data

Description

Simulate demand data

Usage

SimulateDemand(nruns = 10, setparams, sdindex, x, outdir = NULL, fn = NULL)

Arguments

nruns	Number of runs. Default value is 10
setparams	A 6x1 matrix (or 6 element vector) containing (in order) mean log10alpha, sd log10alpha, mean log10q0, sd log10q0, k, sd of consumption values across all prices
sdindex	A vector of n length of sd consumption values for n prices
x	A vector of n prices
outdir	Optional. Directory to save results. Must end with a "/"
fn	Optional. Filename of saved RData object

Details

Generates and saves simulated datasets in the manner specified in Koffarnus, Franck, Stein, & Bickel (2015).

Value

Invisibly a list consisting of: rounded consumption values, unrounded consumption values, simulation parameters, and inState and outState of seeds.

Author(s)

Brent Kaplan <[e-mail]>

Examples

## set values
setparams <- vector(length = 4)
setparams <- c(-2.5547, .702521, 1.239893, .320221, 3.096, 1.438231)
names(setparams) <- c("alphalm", "alphalsd", "q0lm", "q0lsd", "k", "yvalssd")
sdindex <- c(2.1978, 1.9243, 1.5804, 1.2465, 0.8104, 0.1751, 0.0380, 0.0270)
x <- c(.1, 1, 3, 10, 30, 100, 300, 1000)
set.seed(1234)
sim <- SimulateDemand(nruns = 1, setparams = setparams, sdindex = sdindex, x = x)
sim

brentkaplan/beezdemand documentation built on Aug. 29, 2023, 12:33 p.m.