We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
if you set thin = 1 it is
thin = 1
julia> ds = MixedModels.dataset(:dyestuff) Arrow.Table with 30 rows, 2 columns, and schema: :batch String :yield Int16 julia> contrasts = Dict{Symbol, AbstractContrasts}(:batch => Grouping()) Dict{Symbol, AbstractContrasts} with 1 entry: :batch => Grouping() julia> thin = 1 1 julia> dsm01 = let form = @formula yield ~ 1 + (1|batch) fit(MixedModel, form, ds; contrasts, thin) end Linear mixed model fit by maximum likelihood yield ~ 1 + (1 | batch) logLik -2 logLik AIC AICc BIC -163.6635 327.3271 333.3271 334.2501 337.5307 Variance components: Column Variance Std.Dev. batch (Intercept) 1388.3332 37.2603 Residual 2451.2501 49.5101 Number of obs: 30; levels of grouping factors: 6 Fixed-effects parameters: ──────────────────────────────────────────────── Coef. Std. Error z Pr(>|z|) ──────────────────────────────────────────────── (Intercept) 1527.5 17.6946 86.33 <1e-99 ──────────────────────────────────────────────── julia> first(dsm01.optsum.fitlog, 3) 3-element Vector{Tuple{Vector{Float64}, Float64}}: ([1.0], 327.76702162461663) ([1.0], 327.76702162461663) ([1.75], 331.03619322245146)
Originally posted by @dmbates in #615 (comment)
Note that this doesn't occur when calling refit! as currently done in the tests.
refit!
The text was updated successfully, but these errors were encountered:
palday
No branches or pull requests
if you set
thin = 1
it isOriginally posted by @dmbates in #615 (comment)
Note that this doesn't occur when calling
refit!
as currently done in the tests.The text was updated successfully, but these errors were encountered: