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response_id
2000 Mar 31
2
linear models
...1 | groups,...), ie. fits a random effect intercept
term.
The reason why I want to do this is test for the significance of the
random effect intercept term. anova( , ) does not work for an lm model and
lme model together.
2) Is there some nice way of handling linear models which are of the form
response_ij = a_i + b_i x_ij + \epsilon_ij
where a_i and b_i are fixed effects, x_ij is given (continuous) data,
\epsilon_ij ~ N(0, \sigma^2), and the i's range over some group? This is
basically a group of regression models, but I want them handled as one
unit for the purposes of estimation of \sigma^2...