discounting.model.fit: Fit a discounting model.

Description Usage Arguments Value Examples

Description

Fit a discounting model.

Usage

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discounting.model.fit(choices, model = 'exponential', method = 'bayes', control = list(n.adapt = 1000, n.iter = 1000, raw.samples = FALSE, median = FALSE, mode = FALSE, hierarchical = FALSE))

Arguments

choices

Standard choices data frame.

model

exponential

method

bayes

control

Contains n.adapt = 1000, n.iter = 1000, raw.false = FALSE, median = FALSE, mode = FALSE, hierarchical = FALSE

Value

Varies. See specific model for details.

Examples

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choices <- data.frame(X1 = 1, X2 = 2, T1 = 0, T2 = 1, C = 1)

discounting.model.fit(choices, model = 'exponential')

johnmyleswhite/BehavioralEconomics documentation built on May 19, 2019, 5:17 p.m.