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2004 Nov 16
1
lme, two random effects, poisson distribution
...~ state, random = ~1 | slugs, data=slugs.lmedata, cor=cs) --------------------------------- Now, I would like to add a complication to the model: The slugs were observed in batches: Batch_1 = {slugs_1, slugs_2, slugs_3} Batch_2 = {slugs_5, slugs_6} Batch_3 = {slugs_7, slugs_8, slugs_9, slugs_10} Batch_4 = {slugs_11} . . . Batch_12 = {slugs_24, slugs_25} Notice that there are 12 batches, and the number of slugs in each batch differ, from 1 slug to 4 slugs. I consider batch to be another random-effect on intercept. Thus I fit model: ************pumps_tij = state_t + slugs_i + batch_ij + error_tij...