hoa: An R package bundle for higher order likelihood inference

An R package bundle for higher-order asymptotic inference written by Alessandra R. Brazzale with the contribution of Ruggero Bellio.The code is described in Brazzale, A.R. (2005) "hoa: An R package bundle for higher order likelihood inference" (R News, 5/1, 20-27). // The "hoa" package bundle contains four packages: 1) "cond" (approximate conditional inference for logistic and loglinear models); see Brazzale, A. R. (1999) "Approximate conditional inference in logistic and loglinear models" (JCGS, 8, 653-661; winner of the "1998 ASA Statistical Computing Section Student Paper Competition"); 2) "marg" (approximate conditional inference for linear nonnormal models); 3) "nlreg" (approximate conditional inference for nonlinear heteroscedastic models, joint with Ruggero Bellio); see Bellio, R. and Brazzale, A. R. (2003) "Higher-order asymptotics unleashed: Software design for nonlinear heteroscedastic models" (JCGS, 12, 682-697); 4) csampling (conditional sampling routines for regression-scale models); see Brazzale, A.R. (1999) "Conditional simulation for regression-scale models" (JISS, 8, 101-114).