Booth2 | R Documentation |

This data set contains simulated data from the paper of Booth and Hobert (referenced below) as well as another vector.

data(Booth2)

A data frame with 3 columns:

- y
Response vector.

- x1
Fixed effect model matrix. The matrix has just one column vector.

- z1
A categorical vector to be used for part of the random effect model matrix.

- z2
A categorical vector to be used for part of the random effect model matrix.

The original data set was generated by Booth and Hobert using a single variance component, a single fixed effect, no intercept, and a logit link. This data set has the z2 vector added purely to illustrate an example with multiple variance components.

Booth, J. G. and Hobert, J. P. (1999) Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm. *Journal of the Royal Statistical Society, Series B*, **61**, 265–285. doi: 10.1111/1467-9868.00176.

data(Booth2)

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