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Description
Hello!
engine: julia produces different output than REPL and also jupyter: julia-1.11. Also tagging @dmbates (who is the dev for MixedModels.jl) here who also had the same issue on his machine.
See example with screenshot below.
MWE:
---
title: "Evaluation with `engine:julia`"
format: html
engine: julia # or `jupyter: julia-1.11`
---
```{julia}
using DataFrames, MixedModels
dat = DataFrame(MixedModels.dataset("InstEval"));
```
```{julia}
m1 = fit(
MixedModel,
@formula(y ~ 1 + service + (1 | s) + (1 | d) + (1 + service | dept)),
dat,
progress=false # suppress the display of a progress bar
)
print(m1)
```REPL output:
Linear mixed model fit by maximum likelihood
y ~ 1 + service + (1 | s) + (1 | d) + (1 + service | dept)
logLik -2 logLik AIC AICc BIC
-118823.5292 237647.0584 237663.0584 237663.0603 237736.6901
Variance components:
Column Variance Std.Dev. Corr.
s (Intercept) 0.1052731 0.3244581
d (Intercept) 0.2624317 0.5122809
dept (Intercept) 0.0029301 0.0541304
service: Y 0.0259415 0.1610636 -0.57
Residual 1.3849984 1.1768596
Number of obs: 73421; levels of grouping factors: 2972, 1128, 14
Fixed-effects parameters:
─────────────────────────────────────────────────────
Coef. Std. Error z Pr(>|z|)
─────────────────────────────────────────────────────
(Intercept) 3.2785 0.0240519 136.31 <1e-99
service: Y -0.0496954 0.0460234 -1.08 0.2802
─────────────────────────────────────────────────────jupyter: julia-1.11 and engine: jupyter output:
