md_bernoulli_cand_c1_c2_c3_identifiable.RdWe want to make sure that the right-censored, masked component cause of failure data has enough information in it for the likelihood model to be uniquely identified.
md_bernoulli_cand_c1_c2_c3_identifiable(df, candset = "x")masked data frame
column prefix for candidate sets, defaults to x,
e.g., x1, x2, x3.
returns a string describing the data as yielding an identifiable likelihood function, or one or more reasons why it is not identifiable.