lag_view

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Axis lag_view on sub-layer L3_5_D_lag_block_inspection (layer l3_5).

Sub-layer

L3_5_D_lag_block_inspection

Axis metadata

  • Default: 'multi'

  • Sweepable: False

  • Status: operational

Operational status summary

  • Operational: 4 option(s)

  • Future: 0 option(s)

Options

autocorrelation_per_lag – operational

ACF plot for each lag-block series.

L3.5.D lag view autocorrelation_per_lag.

This option configures the lag_view axis on the L3_5_D_lag_block_inspection sub-layer of L3.5; output is emitted under manifest.diagnostics/l3_5/L3_5_D_lag_block_inspection/ alongside the other selected views.

When to use

Standard time-series ACF view; informs choice of maximum lag length.

References

  • macroforecast design Part 4: ‘diagnostic layers default-off; non-blocking; produce JSON + matplotlib views attached to manifest.diagnostics/.’

Related options: lag_correlation_decay, partial_autocorrelation, multi

Last reviewed 2026-05-05 by macroforecast author.

lag_correlation_decay – operational

Decay rate of lag autocorrelations.

L3.5.D lag view lag_correlation_decay.

This option configures the lag_view axis on the L3_5_D_lag_block_inspection sub-layer of L3.5; output is emitted under manifest.diagnostics/l3_5/L3_5_D_lag_block_inspection/ alongside the other selected views.

When to use

Choosing maximum lag length quantitatively – the half-life of the ACF gives a natural cutoff.

References

  • macroforecast design Part 4: ‘diagnostic layers default-off; non-blocking; produce JSON + matplotlib views attached to manifest.diagnostics/.’

Related options: autocorrelation_per_lag, partial_autocorrelation, multi

Last reviewed 2026-05-05 by macroforecast author.

multi – operational

Produce ACF + PACF + decay together.

L3.5.D lag view multi.

This option configures the lag_view axis on the L3_5_D_lag_block_inspection sub-layer of L3.5; output is emitted under manifest.diagnostics/l3_5/L3_5_D_lag_block_inspection/ alongside the other selected views.

When to use

Default rich lag audit. Activates the multi branch on L3.5.lag_view; combine with related options on the same sub-layer for a comprehensive diagnostic.

References

  • macroforecast design Part 4: ‘diagnostic layers default-off; non-blocking; produce JSON + matplotlib views attached to manifest.diagnostics/.’

Related options: autocorrelation_per_lag, lag_correlation_decay, partial_autocorrelation

Last reviewed 2026-05-05 by macroforecast author.

partial_autocorrelation – operational

PACF plot for each lag-block series.

L3.5.D lag view partial_autocorrelation.

This option configures the lag_view axis on the L3_5_D_lag_block_inspection sub-layer of L3.5; output is emitted under manifest.diagnostics/l3_5/L3_5_D_lag_block_inspection/ alongside the other selected views.

When to use

Choosing AR(p) order; the lag at which PACF first hits the noise band suggests p.

References

  • macroforecast design Part 4: ‘diagnostic layers default-off; non-blocking; produce JSON + matplotlib views attached to manifest.diagnostics/.’

Related options: autocorrelation_per_lag, lag_correlation_decay, multi

Last reviewed 2026-05-05 by macroforecast author.