Hi,

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I got an error message regarding LOO estimation. After testing the LOO scores and comparing the LOO scores, I get an error message: "Error: Not all models have the same number of data points". However, I can see the individual LOO scores for each model. I guess my problem with my models is due to the variables. In the first model, I used one variable. In the next model, I included two variables. In the third model, I added five or more variables. Each variable may not match with other variables. I can see the log-likelihood matrix is different for the three models. Is that the problem? If so, how can I rectify it.
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Thanks.

#.Log-likelihood matrix from the LOO score:

Model-1: Computed from 4000 by 23268 log-likelihood matrix

Model-2: Computed from 4000 by 21668 log-likelihood matrix

Model-3: Computed from 4000 by 20168 log-likelihood matrix

#.Models: I fitted the models using the BRMS package.

model1 = brm(kgd06riv ~ icowsal, family = bernoulli(link = â€ślogitâ€ť),

data = ics,refresh = 0, chains = 4,

iter = 2000, prior = prior)

model2 = brm(kgd06riv ~ icowsal + settle, family = bernoulli(link = â€ślogitâ€ť),

data = ics,refresh = 0, chains = 4,

iter = 2000, prior = prior)

model3 = brm(kgd06riv ~ icowsal + settle + jtdem +

atopally + cincratio,

family = bernoulli(link = â€ślogitâ€ť),

data = ics,refresh = 0, chains = 4,

iter = 2000, prior = prior)