titanic.complete

Titanic passenger survival data. Complete cases only.

Practitioners of Bayesian statistics often use Markov chain Monte Carlo (MCMC) samplers to sample from a posterior distribution. This package determines whether the MCMC sample is large enough to yield reliable estimates of the target distribution. In particular, this calculates a Gelman-Rubin convergence diagnostic using stable and consistent estimators of Monte Carlo variance. Additionally, this uses the connection between an MCMC sample's effective sample size and the Gelman-Rubin diagnostic to produce a threshold for terminating MCMC simulation. Finally, this informs the user whether enough samples have been collected and (if necessary) estimates the number of samples needed for a desired level of accuracy. The theory underlying these methods can be found in "Revisiting the Gelman-Rubin Diagnostic" by Vats and Knudson (2018) <arXiv:1812:09384>.

Christina Knudson

stableGR

A Stable Gelman-Rubin Diagnostic for Markov Chain Monte Carlo

Dootika Vats

titanic.complete function

A data frame with the following columns:
<dl>
 <dt>Survived</dt>
<dd>Whether a passenger survived.</dd> <dt>Pclass</dt>
<dd>The class of the passenger's ticket. A factor with 3 levels.</dd> <dt>Sex</dt>
<dd>Male or female. A factor with 2 levels.</dd> <dt>Age</dt>
<dd>The age of the passenger.</dd> <dt>SibSp</dt>
<dd>The number of siblings/spouse aboard.</dd> <dt>Parch</dt>
<dd>The number of parents/children aboard.</dd> <dt>Fare</dt>
<dd>The passenger's fare.</dd> <dt>Embarked</dt>
<dd>The passenger's port of embarkation. A factor with 3 levels.</dd> 
</dl>

Format

Titanic passenger data — titanic.complete

A data frame with the following columns:
<dl>
 <dt>Survived</dt>
<dd>Whether a passenger survived.</dd>

 <dt>Pclass</dt>
<dd>The class of the passenger's ticket. A factor with 3 levels.</dd>

 <dt>Sex</dt>
<dd>Male or female. A factor with 2 levels.</dd>

 <dt>Age</dt>
<dd>The age of the passenger.</dd>

 <dt>SibSp</dt>
<dd>The number of siblings/spouse aboard.</dd>

 <dt>Parch</dt>
<dd>The number of parents/children aboard.</dd>

 <dt>Fare</dt>
<dd>The passenger's fare.</dd>

 <dt>Embarked</dt>
<dd>The passenger's port of embarkation. A factor with 3 levels.</dd>

 
</dl>

titanic.complete: Titanic passenger data

Description

Usage

Arguments

Format

References

Examples