search for: nonnested

I'm trying to figure out how to use lmer to fit models with factors that have some nesting and some non-nested groupings. For example, in this paper: http://www.stat.columbia.edu/~gelman/research/published/parkgelmanbafumi.pdf we have a logistic regression of survey respondents' political preferences (1=Republican, 0=Democrat), regressing on sex, ethnicity, state (51 states within 5

> in some cases the bootstrap estimates for the > highest confidence level are obviously wrong: > 0.05/x -1.33318711781158 > 0.025 -1.09386961626344 > 0.05 -0.868768454819694 > 0.1 -0.652649120212949 > 0.16 0.0453058935697044 > 0.84 0.104645679223495 > 0.9 0.213385388775905 > 0.95 0.368838243723381 > 0.975 0.615868703042345 > 1-0.05/x

I am trying to implement an ANOVA on a pair of quantile regression models in R. The anova.rq() function performs a basic check to see whether the models are nested, but I think this check is failing in my case. I think my models are nested despite the anova.rqlist() function saying otherwise. Here is an example where the GLM ANOVA regards the models as nested, but the quantile regression ANOVA