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Generate mus vector

Usage

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.

Value

mu vector