I'm trying to estimate a two-tier model with varying intercepts and slopes across 20 groups, with each group having about 50 observations and with no group predictor. I use the command lmer(y~x+(1+x | group)). But the result is a constant intercept (zero standard deviation, all 20 intercept values are the same). I'm puzzled; am I setting up my model wrong, or is the algorithm malfunctioning because the number of groups is too small for the lmer() function? -- View this message in context: http://www.nabble.com/lmer%28%29-function-tp23175833p23175833.html Sent from the R help mailing list archive at Nabble.com.
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