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I love this package, kudos to you all for writing such a great addition to the Julia community.
Here is my issue. After fitting a GLMM, the ranef() doesn't work as expected with the named=true argument, and it seems that this functionality should work for this kind of model. For context, I found it works as expected for a simple LMM.
Here is reproducible code: df = DataFrame(y = rand([0,1], 1000), mycat = rand(["hey", "this", "test"], 1000))
mod = fit!(GeneralizedLinearMixedModel(@formula(y ~ (1|mycat)), df, Bernoulli() ), fast=true)
ranef(mod; named=true)
Error: MethodError: no method matching ranef(::GeneralizedLinearMixedModel{Float64}; named=true)
The text was updated successfully, but these errors were encountered:
I love this package, kudos to you all for writing such a great addition to the Julia community.
Here is my issue. After fitting a GLMM, the
ranef()
doesn't work as expected with thenamed=true
argument, and it seems that this functionality should work for this kind of model. For context, I found it works as expected for a simple LMM.Here is reproducible code:
df = DataFrame(y = rand([0,1], 1000), mycat = rand(["hey", "this", "test"], 1000))
mod = fit!(GeneralizedLinearMixedModel(@formula(y ~ (1|mycat)), df, Bernoulli() ), fast=true)
ranef(mod; named=true)
Error:
MethodError: no method matching ranef(::GeneralizedLinearMixedModel{Float64}; named=true)
The text was updated successfully, but these errors were encountered: