Diagnostic for residual step-angle dependence — diagnostic_step_angle_dependence • evalueHMM

Build a feature-level e-process from sequential Rosenblatt residuals and a Gaussian copula diagnostic alternative.

Usage

diagnostic_step_angle_dependence(
  data,
  null_parameters,
  rho = 0.5,
  alpha = 0.05,
  time = NULL,
  individual_id = NULL,
  diagnostic_name = "step_angle_dependence",
  metadata = list()
)

Arguments

data: Movement data with step_length and turning_angle.
null_parameters: Null HMM parameters.
rho: Gaussian copula correlation used by the diagnostic alternative.
alpha: Monitoring level.
time: Optional time index.
individual_id: Optional individual identifier.
diagnostic_name: Diagnostic name.
metadata: Optional metadata list.

Value

A predictive_e_diagnostic object with residual features attached.