create_mu_vector function

Generate mus vector

create_mu_vector(state_names, num_concealed_states, model = "CR", lambda_list)

Arguments

• state_names: vector of names of all observed states.
• num_concealed_states: number of concealed states, generally equivalent to the number of examined states in the dataset.
• model: used model, choice of "ETD" (Examined Traits Diversification), "CTD" (Concealed Traits Diversification) or "CR" (Constant Rate).
• lambda_list: previously generated list of lambda matrices, used to infer the rate number to start with.

Returns

mu vector