Identify Model Parameters from Character Matrices — model

This function calculates the gamma and beta matrices based on the given character gamma and beta matrices, along with identity weights. It checks the identification of all stochastic equations and verifies the order and rank conditions for model identification.

Usage

model_identification(
  character_gamma_matrix,
  character_beta_matrix,
  identity_weights,
  call = rlang::caller_env()
)

Arguments

character_gamma_matrix: A character matrix representing the gamma structure of the model.
character_beta_matrix: A character matrix representing the beta structure of the model.
identity_weights: A list of identity weights to help construct constant vectors.
call: The environment from which the error is called. Defaults to rlang::caller_env(), and is used to provide context in case of an error.

Value

NULL. This function is used for side effects, stopping execution if model identification conditions are not met.