Munich: The Munich rent data

In inbo/INLA: Full Bayesian Analysis of Latent Gaussian Models using Integrated Nested Laplace Approximations

Description

The Munich rent data

Usage

data(Munich)

Format

A data frame with 2035 observations on the following 17 variables.

rent

Net rent per square meter.

floor.size

Size of the flat in square meters.

year

Year of construction of the building in which the flat is located.

location

Location index (in terms of subquarters).

Gute.Wohnlage

Dummy variable for good locations / good neighborhoods.

Beste.Wohnlage

Dummy variable for very good locations / very good neighborhoods.

Keine.Wwv

Dummy for absence of warm water supply.

Keine.Zh

Dummy for absence of central heating system.

Kein.Badkach

Dummy for absence of flagging in the bathroom.

Besond.Bad

Dummy for special features of the bathroom.

Gehobene.Kueche

Dummy for more refined kitchen equipment.

zim1

Dummy for a flat with 1 room.

zim2

Dummy for a flat with 2 rooms.

zim3

Dummy for a flat with 3 rooms.

zim4

Dummy for a flat with 4 rooms.

zim5

Dummy for a flat with 5 rooms.

zim6

Dummy for a flat with 6 rooms.

Source

See Rue and Held (2005), Chapter 4.

References

Rue, H and Held, L. (2005) Gaussian Markov Random Fields - Theory and Applications Chapman and Hall

inbo/INLA documentation built on Dec. 6, 2019, 9:51 a.m.