LINEAR_LAG_MODEL#

Python object: phenotypic.schema._linear_lag_model.LINEAR_LAG_MODEL

Fitted parameters of the linear-softplus lag model (no saturation).

Output columns are metric-qualified: each header is LinearLagModel_<metric>_<parameter>, where <metric> records the measurement the model was fit on (self.on with its category prefix stripped, e.g. Shape_AreaArea). For example, fitting on Shape_Area emits LinearLagModel_Area_v (post-lag growth rate) and LinearLagModel_Area_s0 (initial size). The labels below are the <parameter> segment; the <metric> infix is filled in at fit time.

Category: LinearLagModel#

Column label

Description

Type

Biology

LinearLagModel_v

The post-lag phase growth rate.

Tier 1 · Direct phenotype

The post-lag phase growth rate using the target metric (usually radius)

LinearLagModel_s0

The initial value of the target metric

Tier 1 · Direct phenotype

The initial size

LinearLagModel_lambda

The duration of the lag phase

Tier 1 · Direct phenotype

LinearLagModel_alpha

lag phase transition sharpness

Tier 2 · Descriptive trait