This paper presents a set of REDUCE procedures making a number of existing higher-order asymptotic results available for both theoretical and practical research. Attention has been restricted to the context of approximate conditional inference for multiparameter full rank exponential families. Most of the procedures support algebraic computation as well as numerical calculation for a given data set. Examples are given for both kinds of applications. All numerical results involve discrete data following log-linear models.
Brazzale, Alessandra Rosalba. "A computer algebra package for approximate conditional inference in multiparameter exponential families" Working paper, Dipartimento di Scienze Statistiche, Università di Padova, 1996.