discount_hypl: The Hyperbolic-Like Discounting Model
In mncube/discountr: Tools to Analyze Discounting Data
Description
Usage
Arguments
Value
Examples
View source: R/discount_hypl.R
Description
The Hyperbolic-Like Discounting Model
Usage
1
discount_hypl(A, b, X, s)
Arguments
A
Amount of reward
b
Discounting rate parameter
X
Independent variable (i.e., delay, cognitive effort, probability)
s
Non-linear scaling factor (set s = 1 to run the hyperbolic discounting model)
Value
Subjective value of the reward of amount A
Examples
1
2
3
4
5
A <- 5000
b <- 7.760
X <- .5
s <- 2
discount_hypl(A = A, b = b, X = X, s = s)
mncube/discountr documentation built on Dec. 21, 2021, 8:07 p.m.
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Description Usage Arguments Value Examples
View source: R/discount_hypl.R
Description
The Hyperbolic-Like Discounting Model
Usage
1 | discount_hypl(A, b, X, s)
|
Arguments
A |
Amount of reward |
b |
Discounting rate parameter |
X |
Independent variable (i.e., delay, cognitive effort, probability) |
s |
Non-linear scaling factor (set s = 1 to run the hyperbolic discounting model) |
Value
Subjective value of the reward of amount A
Examples
1 2 3 4 5 | A <- 5000
b <- 7.760
X <- .5
s <- 2
discount_hypl(A = A, b = b, X = X, s = s)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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