Handle boundary and line-search fixed-effect inference
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@@ -165,7 +165,7 @@ The covariance array uses the row-wise packed lower triangle:
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The `.complete` marker is written last and contains tab-separated key/value rows:
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```text
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format spectra-reml-block-v3
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format spectra-reml-block-v4
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block 0
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tasks 256
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beta_elements 4096
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@@ -198,34 +198,39 @@ numerical_error
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The four `fixed_*` arrays have the same offsets and coefficient order as
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`beta`. They contain standard errors, statistics, denominator degrees of
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freedom, and p-values. With Satterthwaite inference, a coefficient statistic is
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a signed t statistic. With Kenward-Roger inference, it is an F statistic with
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one numerator degree of freedom. For every task with extra covariates, the
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summary also contains an F test of the joint null that all task-specific fixed
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effects are zero.
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freedom, and p-values. With ordinary least-squares or Satterthwaite inference,
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a coefficient statistic is a signed t statistic. With Kenward-Roger inference,
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it is an F statistic with one numerator degree of freedom. For every task with
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extra covariates, the summary also contains a test of the joint null that all
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task-specific fixed effects are zero.
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The six `contrast_*` arrays share `contrast_test_offset` and follow the
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contrast metadata order. A one-row Satterthwaite contrast reports a signed t
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statistic; Kenward-Roger reports an F statistic with one numerator degree of
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freedom. Both methods retain the signed `L beta` estimate and their adjusted
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standard error. Negative `contrast_test_offset` means that no valid contrast
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tests were emitted for that task.
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contrast metadata order. A one-row ordinary least-squares or Satterthwaite
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contrast reports a signed t statistic; Kenward-Roger reports an F statistic
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with one numerator degree of freedom. All methods retain the signed `L beta`
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estimate and their standard error. Negative `contrast_test_offset` means that
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no valid contrast tests were emitted for that task.
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`fixed_test_status` is one of:
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```text
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not_requested
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ok
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boundary_conditional
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boundary_ols
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line_search_conditional
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fit_not_converged
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invalid_contrast
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information_singular
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numerical_error
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```
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At `converged_boundary`, inference conditions on the accepted active set
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`sigma_g2=0`; `fixed_test_status` is `boundary_conditional` and only residual
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variance uncertainty contributes to the small-sample adjustment.
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At `converged_boundary`, the random term is removed and the fixed model is
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refitted as ordinary least squares. `fixed_test_method` is
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`ordinary-least-squares`, `fixed_test_status` is `boundary_ols`, and the
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denominator degrees of freedom are `n-rank(X)`. At `line_search_failed`, the
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last retained REML iterate is tested with the requested Satterthwaite or
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Kenward-Roger method and `fixed_test_status` is
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`line_search_conditional`; the optimizer flag remains visible in `status`.
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Phenotypes are scaled internally by their task-specific OLS residual RMS before
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optimization. Reported fixed effects, fixed-effect covariance, variance
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