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posterior p values are wrong #63

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timcdlucas opened this issue Nov 23, 2022 · 1 comment

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timcdlucas commented Nov 23, 2022

x <- rnorm(100)
y <- x + rnorm(100, sd = 0.2)
d <- data.frame(x, y)

result1 = inla(y ~ x, family="normal", data = d, 
               control.predictor = list(compute = TRUE, link = 1),
               control.compute = list(return.marginals.predictor=TRUE))

plot_inla_residuals(result1, y)

looks horrible even with correct model

The text was updated successfully, but these errors were encountered:

Owner Author

timcdlucas commented Nov 23, 2022

Maybe I should just switch to PIT values.

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