titanic: Titanic passenger survival data

In msme: Functions and Datasets for "Methods of Statistical Model Estimation"

Description

Passenger survival data from 1912 Titanic shipping accident.

Usage

data(titanic)

Format

A data frame with 1316 observations on the following 4 variables.

survived

1=survived; 0=died

age

1=adult; 0=child

sex

1=Male; 0=female

class

ticket class 1= 1st class; 2= second class; 3= third class

Details

Titanic is saved as a data frame. Used to assess risk ratio; not stardard count model; good binary response model.

Source

Found in many other texts

References

Hilbe, Joseph M (2007, 2011), Negative Binomial Regression, Cambridge University Press Hilbe, Joseph M (2009), Logistic Regression Models, Chapman & Hall/CRC

Examples

data(titanic)

glm.lr <- glm(survived ~ age + sex + factor(class),
             family=binomial, data=titanic)
summary(glm.lr)
exp(coef(glm.lr))

glm.irls <- irls(survived ~ age + sex + factor(class),
                 family = "binomial",
                 link = "cloglog",
                 data = titanic)
summary(glm.irls)
exp(coef(glm.irls))

glm.ml <- ml_glm(survived ~ age + sex + factor(class),
                 family = "bernoulli",
                 link = "cloglog1",
                 data = titanic)
summary(glm.ml)
exp(coef(glm.ml))

msme documentation built on May 2, 2019, 5:07 a.m.