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2009 Jan 29
0
lmer for a binary dependent variable
...ance of the predictors? The methods which I found described in Baayen (2008). Analyzing Linguistic Data: A Practical Introduction to Statistics Using Ror on the net did not work out. Here is what I got:   > prec0_va2.lmer Generalized linear mixed model fit by the Laplace approximation Formula: prec_0 ~ (verb + agent)^2 + (1 | subject)    Data: risuvane1_binom_tolmer    AIC   BIC logLik deviance  559.7 590.5 -272.8    545.7 Random effects:  Groups  Name        Variance Std.Dev.  subject (Intercept) 1.9975   1.4133  Number of obs: 600, groups: subject, 30   Fixed effects:                      ...