prob_winner: Binomial Win Probability
In contextual: Simulation and Analysis of Contextual Multi-Armed Bandit Policies
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/functions_utility.R
Description
Function to compute probability that each arm is the winner,
given simulated posterior results.
Usage
1
prob_winner(post)
Arguments
post
Simulated results from the posterior, as provided by sim_post()
Value
Probabilities each arm is the winner.
Author(s)
Thomas Lotze and Markus Loecher
Examples
1
2
3
4
x <- c(10,20,30,50)
n <- c(100,102,120,130)
betaPost <- sim_post(x,n)
pw <- prob_winner(betaPost)
contextual documentation built on July 26, 2020, 1:06 a.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/functions_utility.R
Description
Function to compute probability that each arm is the winner, given simulated posterior results.
Usage
1 | prob_winner(post)
|
Arguments
post |
Simulated results from the posterior, as provided by sim_post() |
Value
Probabilities each arm is the winner.
Author(s)
Thomas Lotze and Markus Loecher
Examples
1 2 3 4 | x <- c(10,20,30,50)
n <- c(100,102,120,130)
betaPost <- sim_post(x,n)
pw <- prob_winner(betaPost)
|
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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