lips1 {R2MLwiN} | R Documentation |
Lips data
Description
Observed counts of male lip cancer for the 56 regions of Scotland over the period 1975-1980.
Usage
lips1
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)