v1.0-7

Improvements

• new examples of prediction added, including using predict.BTm to estimate abilities with non-player abilities set to non-zero values (for models with a fixed reference category).
• qvcalc.BTabilities moved over from package qvcalc.
• package imports rather than depends on lme4.

Changes in behaviour

• default level in predict.BTm and predict.glmmPQL is 0 if a fixed effects model has been fitted, 1 otherwise.

Bug fixes

• BTabilities now works (again) for models where the reference category is not the first player. Players are kept in their original order (levels of player1 and player2), but the abilities are returned with the appropriate reference.

• BTabilities now works when ability is modelled by covariates and some parameters are inestimable (e.g. as in chameleons.model on ?chameleons).

• predict.BTglmmPQL.R now works for models with inestimable parameters