Long-horizon straightness diagnostic — diagnostic_long_horizon_straightness • evalueHMM

Build a blockwise e-process for a straightness feature using beta approximations to null and diagnostic block-feature laws.

Usage

diagnostic_long_horizon_straightness(
  data,
  law_parameters,
  block_size = 60L,
  alpha = 0.05,
  diagnostic_name = "long_horizon_straightness",
  metadata = list()
)

Arguments

data: Movement data with step_length and turning_angle.
law_parameters: Output from fit_block_straightness_laws().
block_size: Number of observations per block.
alpha: Monitoring level.
diagnostic_name: Diagnostic name.
metadata: Optional metadata list.

Value

A predictive_e_diagnostic object with block-level features.