Douglas Bates
Douglas Bates
Ironically our purpose is to have notebooks that behave (slightly) differently on different systems where the preferred BLAS implementation depends on the architecture.
I think we might try to explain that result a little better while we are making this correction. The output looks like ```julia julia> m1 = fit(MixedModel, @formula(reaction ~ 1...
BTW, I was incorrect about an over-specified model because the `days: 0` random effects are dropped. However, I'm still not sure what the model means.
I can take at look at this unless @palday feels that he is better positioned to do so. I haven't used `MLJ.jl` but it is about time that I learned...
On an M1 Macbook Pro the results were ```julia Table with 3 columns and 19 rows: dsnm secs frm ┌───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── 1 │ dyestuff2 0.1 yield ~ 1 + :(1 |...
Another data point ```julia julia> res = runbmrk(tbl) Table with 3 columns and 19 rows: bmk dsnm frm ┌──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── 1 │ Sample(time=9.4062e-5, allocs=1029, bytes=52176) dyestuff2 yield ~ 1 + :(1...
It turns out that using RegressionTests.jl and `@track` to check for changes in benchmark runs takes a very long time and I don't think it is worth the cost. It...
If you use a contrast like `EffectsCoding()` for `Source` then the conditional means of the random effects for the term `(1 + Source | Lot & Wafer)` end up being...
@palday, what would you think of changing the structure of the fitlog to be a `Vector{NamedTuple{(:θ, :obj),(NTuple{K,T}, T)}}` so that it can be displayed as a `Table`? If I understand...
I am also considering changing the format of the `allpars` property of a parametric bootstrap to be like that of the `tbl` property of a `MixedModelProfile`. That is, a `Vector{