power_pwf: The power probability weighting function.
In gary-au/pt: Computational models for prospect theory and other theories of risky decision making
Description
Usage
Arguments
References
See Also
Description
The power probability weighting function is given by
w(p) = beta * p^alpha,
where p is the probability constrained by
w(0) = 0, w(1) = 1, 0 < p < 1.
Usage
1
Arguments
par
vector, contains the alpha and beta parameters
for the pwf
p
numeric, the probability
References
Stott, H. P. (2006). Cumulative prospect theory's
functional menagerie. Journal of Risk and Uncertainty,
32(2), 101-130.
See Also
gary-au/pt documentation built on May 16, 2019, 5:41 p.m.
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Description Usage Arguments References See Also
Description
The power probability weighting function is given by
w(p) = beta * p^alpha,
where p is the probability constrained by
w(0) = 0, w(1) = 1, 0 < p < 1.
Usage
1 |
Arguments
par |
vector, contains the alpha and beta parameters for the pwf |
p |
numeric, the probability |
References
Stott, H. P. (2006). Cumulative prospect theory's functional menagerie. Journal of Risk and Uncertainty, 32(2), 101-130.
See Also
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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