R2MLwiN (version 0.8-2)

rats: Weights of 30 rats, measured weekly over 5 weeks.

Description

Weights of 30 rats, measured weekly over 5 weeks.

Format

A data frame with 30 observations on the following 7 variables:

y8

Weight on day 8.

y15

Weight on day 15.

y22

Weight on day 22.

y29

Weight on day 29.

y36

Weight on day 36.

cons

Constant(=1).

rat

Rat ID

Source

Browne, W. J. (2012) MCMC Estimation in MLwiN Version 2.26. University of Bristol: Centre for Multilevel Modelling. Gelfand, A. E., Hills, S.E., Racine-Poon, A., Smith, A.F.M. (1990) Illustration of Bayesian inference in normal data models using Gibbs sampling. Journal of the American Statistical Association 85: 972-985. Rasbash, J., Charlton, C., Browne, W.J., Healy, M. and Cameron, B. (2009) MLwiN Version 2.1. Centre for Multilevel Modelling, University of Bristol.

Details

The rats dataset is one of the sample datasets provided with the multilevel-modelling software package MLwiN (Rasbash et al., 2009); see Browne (2012) and Gelfand (1990) for further details.

Examples

## Not run: 
# 
# data(rats, package = "R2MLwiN")
# 
# (mymodel <- runMLwiN(c(y8, y15, y22, y29, y36) ~ 1 + (1 | rat), 
#   D = "Multivariate Normal", estoptions = list(EstM = 1),
#   data = rats))
# 
# ## End(Not run)