new_prior: Generate Prior Distrbution
In dfcorbin/MABsim: Run (contextual) Multi-Armed Bandit Simulations
Description
Usage
Arguments
Value
Description
This function generates an object of class "distribution" that contains the
prior hyperparameters for our MAB model.
Usage
1
new_prior(J, alpha = 1, a = 3, b = 1)
Arguments
J
The number of basis functions to use in the model (NOT INCLUDING THE INTERCEPT).
alpha
A scaling parameter for the prior variances. The prior variance of the
i'th model coefficient is given by i^-alpha (the intercept is the 0'th coefficient, and
has a prior variance of 1).
a
The shape parameter for the inverse gamma distribution.
b
The scale parameter for the inverse gamma distribution.
Value
An object of S4 class "distribution".
dfcorbin/MABsim documentation built on April 26, 2020, 8:26 a.m.
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Description Usage Arguments Value
Description
This function generates an object of class "distribution" that contains the prior hyperparameters for our MAB model.
Usage
1 | new_prior(J, alpha = 1, a = 3, b = 1)
|
Arguments
J |
The number of basis functions to use in the model (NOT INCLUDING THE INTERCEPT). |
alpha |
A scaling parameter for the prior variances. The prior variance of the i'th model coefficient is given by i^-alpha (the intercept is the 0'th coefficient, and has a prior variance of 1). |
a |
The shape parameter for the inverse gamma distribution. |
b |
The scale parameter for the inverse gamma distribution. |
Value
An object of S4 class "distribution".
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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