BlackJackTrain

These are simulated data on 1,000 Black Jack hands.

datasets

Facilities for easy implementation of hybrid Bayesian networks
using R. Bayesian networks are directed acyclic graphs representing joint
probability distributions, where each node represents a random variable and
each edge represents conditionality. The full joint distribution is therefore
factorized as a product of conditional densities, where each node is assumed
to be independent of its non-descendents given information on its parent nodes.
Since exact, closed-form algorithms are computationally burdensome for inference
within hybrid networks that contain a combination of continuous and discrete
nodes, particle-based approximation techniques like Markov Chain Monte Carlo
are popular. We provide a user-friendly interface to constructing these networks
and running inference using the 'rjags' package. Econometric analyses (maximum
expected utility under competing policies, value of information) involving
decision and utility nodes are also supported.

Benjamin Nutter

HydeNet

Hybrid Bayesian Networks Using R and JAGS

BlackJackTrain function

A data frame with 10000 rows and 7 variables:<dl class="dl-horizontal">
 <dt>dealerUpcard</dt><dd>The card in the dealer's hand visible to all players</dd>
 <dt>card1</dt><dd>Value of the first card</dd>
 <dt>card2</dt><dd>Value of the second card</dd>
 <dt>initialPoints</dt><dd>Total points with the two cards</dd>
 <dt>hit1</dt><dd>Binary variable indicating if a hit was taken</dd>
 <dt>card3</dt><dd>Value of the third card</dd>
 <dt>pointsAfterCard3</dt><dd>Total points with three cards</dd>
 <dt>hit2</dt><dd>Binary variable indicating if a hit was taken</dd>
 <dt>card4</dt><dd>Value of the fourth card</dd>
 <dt>pointsAfterCard4</dt><dd>Total points with four cards</dd>
 <dt>hit3</dt><dd>Binary variable indicating if a hit was taken</dd>
 <dt>card5</dt><dd>Value of the fifth card</dd>
 <dt>pointsAfterCard5</dt><dd>Total points with five cards</dd>
</dl>

Format

Black Jack Network Training Dataset — BlackJackTrain

A data frame with 10000 rows and 7 variables:<dl class='dl-horizontal'>
 <dt>dealerUpcard</dt><dd>The card in the dealer's hand visible to all players</dd>
 <dt>card1</dt><dd>Value of the first card</dd>
 <dt>card2</dt><dd>Value of the second card</dd>
 <dt>initialPoints</dt><dd>Total points with the two cards</dd>
 <dt>hit1</dt><dd>Binary variable indicating if a hit was taken</dd>
 <dt>card3</dt><dd>Value of the third card</dd>
 <dt>pointsAfterCard3</dt><dd>Total points with three cards</dd>
 <dt>hit2</dt><dd>Binary variable indicating if a hit was taken</dd>
 <dt>card4</dt><dd>Value of the fourth card</dd>
 <dt>pointsAfterCard4</dt><dd>Total points with four cards</dd>
 <dt>hit3</dt><dd>Binary variable indicating if a hit was taken</dd>
 <dt>card5</dt><dd>Value of the fifth card</dd>
 <dt>pointsAfterCard5</dt><dd>Total points with five cards</dd>
</dl>

BlackJackTrain: Black Jack Network Training Dataset

Description

Usage

Arguments

Format