lips1: Lips data
In R2MLwiN: Running 'MLwiN' from Within R

lips1

R Documentation

Lips data

Description

Observed counts of male lip cancer for the 56 regions of Scotland over the period 1975-1980.

Format

A data frame with 56 observations on the following 41 variables:

area: Region ID.
cons: Constant (=1).
obs: Observed cases of lip cancer.
exp: Expected count.
perc_aff: Percentage of the region who work in agriculture, fishing and forestry.
offs: Log of the expected count.
pcons: Constant (=1).
denom: Constant (=1).
neigh1: First neighbours.
neigh2: Second neighbours.
neigh3: Third neighbours.
neigh4: Fourth neighbours.
neigh5: Fifth neighbours.
neigh6: Sixth neighbours.
neigh7: Seventh neighbours.
neigh8: Eighth neighbours.
neigh9: Ninth neighbours.
neigh10: Tenth neightbours.
neigh11: Eleventh neightbours.
weight1: First neighbours' weights.
weight2: Second neighbours' weights.
weight3: Third neighbours' weights.
weight4: Fourth neighbours' weights.
weight5: Fifth neighbours' weights.
weight6: Sixth neighbours' weights.
weight7: Seventh neighbours' weights.
weight8: Eighth neighbours' weights.
weight9: Ninth neighbours' weights.
weight10: Tenth neightbours' weights.
weight11: Eleventh neightbours' weights.
wcar1: First neighbours' CAR weights.
wcar2: Second neighbours' CAR weights.
wcar3: Third neighbours' CAR weights.
wcar4: Fourth neighbours' CAR weights.
wcar5: Fifth neighbours' CAR weights.
wcar6: Sixth neighbours' CAR weights.
wcar7: Seventh neighbours' CAR weights.
wcar8: Eighth neighbours' CAR weights.
wcar9: Ninth neighbours' CAR weights.
wcar10: Tenth neightbours' CAR weights.
wcar11: Eleventh neightbours' CAR weights.

Details

The lips1 dataset is one of the sample datasets provided with the multilevel-modelling software package MLwiN (Rasbash et al., 2009), and was analysed in Clayton & Kaldor (1987); see also Browne (2012) for more details.

Source

Browne, W. J. (2012) MCMC Estimation in MLwiN Version 2.26. University of Bristol: Centre for Multilevel Modelling.

Clayton, D., Kaldor, J. (1987) Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics 43: 671-681.

Rasbash, J., Charlton, C., Browne, W.J., Healy, M. and Cameron, B. (2009) MLwiN Version 2.1. Centre for Multilevel Modelling, University of Bristol.

Examples

## Not run: 

data(lips1, package = "R2MLwiN")

(mymodel <- runMLwiN(log(obs) ~ 1 + perc_aff + offset(offs) + (0 | neigh1) + (1 | area),
 D = "Poisson", estoptions = list(EstM = 1), data = lips1))


## End(Not run)

R2MLwiN documentation built on March 31, 2023, 9:17 p.m.