titanDat

Relationship between survival and passenger class on the Titanic. The records of the sinking of the Titanic were studied to establish the relationship between survival and passenger class on the ship. For each person on board the ocean liner, this dataset records sex, age (child/adult), class (crew, 1st, 2nd, 3rd class) and whether or not the person survived.

datasets

elrm implements a Markov Chain Monte Carlo algorithm to
approximate exact conditional inference for logistic regression
models. Exact conditional inference is based on the
distribution of the sufficient statistics for the parameters of
interest given the sufficient statistics for the remaining
nuisance parameters. Using model formula notation, users
specify a logistic model and model terms of interest for exact
inference.

David Zamar

elrm

Exact Logistic Regression via MCMC

titanDat function

Matrix with columns:
<table><tr><td>
[,1] </td>
<td> surv </td>
<td> numeric </td>
</tr><tr><td> number of survivors </td>
<td>
[,2] </td>
<td> n </td>
</tr><tr><td> numeric </td>
<td>  total number of people </td>
<td>
[,3] </td>
</tr><tr><td> class </td>
<td> numeric </td>
<td> passenger class (0 = crew, 1 = first, 2 = second, 3 = third) </td>
</tr><tr><td>
[,4] </td>
<td> age </td>
<td> numeric </td>
</tr><tr><td> age group (1 = adult, 0 = child)) </td>
<td>
[,5] </td>
<td> sex </td>
</tr><tr><td> numeric </td>
<td> gender (1 = male, 0 = female) </td>
<td>
[,1] </td>
</tr></table>

titanDat: Titanic Dataset

Description

Usage

Arguments

Format

References

[,1]	surv	numeric
number of survivors	[,2]	n
numeric	total number of people	[,3]
class	numeric	passenger class (0 = crew, 1 = first, 2 = second, 3 = third)
[,4]	age	numeric
age group (1 = adult, 0 = child))	[,5]	sex
numeric	gender (1 = male, 0 = female)	[,1]