apply_laplacePoisson: Apply the algorithms to make decisions for Thompson sampling...
In countts: Thomson Sampling for Zero-Inflated Count Outcomes
apply_laplacePoisson R Documentation
Apply the algorithms to make decisions for Thompson sampling Poisson (TS-Poisson) algorithms
Description
Apply the algorithms to make decisions for Thompson sampling Poisson (TS-Poisson) algorithms
Usage
apply_laplacePoisson(context, beta_laplacePoisson)
Arguments
context
context at the current decision time
beta_laplacePoisson
the randomly sampled Bayesian estimate
Value
Intervention option
Examples
apply_laplacePoisson(matrix(1:10, nrow = 2),matrix(11:20, nrow = 5))
countts documentation built on May 29, 2024, 10:23 a.m.
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.
| apply_laplacePoisson | R Documentation |
Apply the algorithms to make decisions for Thompson sampling Poisson (TS-Poisson) algorithms
Description
Apply the algorithms to make decisions for Thompson sampling Poisson (TS-Poisson) algorithms
Usage
apply_laplacePoisson(context, beta_laplacePoisson)
Arguments
context |
context at the current decision time |
beta_laplacePoisson |
the randomly sampled Bayesian estimate |
Value
Intervention option
Examples
apply_laplacePoisson(matrix(1:10, nrow = 2),matrix(11:20, nrow = 5))
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.