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shortestcovint()
.allpars
zerocorr
using MixedModels, Random # MixedModels version: v4.2.1 lmm = fit(LinearMixedModel, @formula(reaction ~ 1+days+(1+days|subj)), MixedModels.dataset("sleepstudy")) bs = parametricbootstrap(MersenneTwister(42), 2000, lmm); shortestcovint(bs) bs.allpars
All the above codes work well.
lmm_zero = fit(LinearMixedModel, @formula(reaction ~ 1+days+zerocorr(1+days|subj)), MixedModels.dataset("sleepstudy")) bs_zero = parametricbootstrap(MersenneTwister(42), 2000, lmm_zero); shortestcovint(bs_zero) bs_zero.allpars
However, shortestcovint() and .allpars fail when zerocorr model is used. The error messages are the same: LoadError: type Diagonal has no field data.
LoadError: type Diagonal has no field data
Could you please help with this? Thanks in advance.
The text was updated successfully, but these errors were encountered:
Should be fixed in the new release
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All the above codes work well.
However,
shortestcovint()
and.allpars
fail whenzerocorr
model is used. The error messages are the same:LoadError: type Diagonal has no field data
.Could you please help with this? Thanks in advance.
The text was updated successfully, but these errors were encountered: