person("Andrea", "Riboldi", email = "andreariboldi.ar@gmail.com", role = c("aut", "cre")),
person("Ivan Luciano", "Danesi", email = "ivanluciano.danesi@unicredit.eu", role = c("aut")),
person("Fabio", "Piacenza", email = "fabio.piacenza@unicredit.eu", role = c("aut")),
person("Ruben", "Ciaponi", role = c("ctb")),
person("Stephen", "Allen", role = c("ctb")),
person("Novella", "Saccenti", role = c("ctb")),
person("Annarita", "Filippi", role = c("ctb")))
Description: An implementation for computing Optimal B-Robust Estimators (OBRE) of two
parameters distributions. The procedure is composed by some equations
that are evaluated alternatively until the solution is reached. Some tools
for analyzing the estimates are included. The most relevant is OBRE
covariance matrix computation using a closed formula.

Title: Objective Bayesian Model Discrimination in Follow-Up Designs
Author: Marta Nai Ruscone based on Laura Deldossi's code.
Maintainer: Marta Nai Ruscone <mnairuscone@liuc.it>
Description: Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models.

Author: Laura Deldossi and Marta Nai Ruscone based on Daniel Meyer's code (2016)
Description: Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models. G.Consonni, L. Deldossi (2014) Objective Bayesian Model Discrimination in Follow-up Experimental Designs, Test. <DOI:10.1007/s11749-015-0461-3>.

Packaged: 2018-01-18 19:29:56 UTC; martanairuscone

Packaged: 2018-06-01 16:32:50 UTC; martanairuscone

Packaged: 2019-03-05 14:57:57 UTC; martanairuscone

Authors@R: c(person("Marta", "Nai Ruscone", role = c("aut", "cre"),
person("Laura", "Deldossi", role = c("aut")),
person("Jack", "Dongarra", role = "ctb",
Packaged: 2019-11-24 14:43:25 UTC; martanairuscone
Jack Dongarra [ctb] (LINPACK routines in src)

Description: Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models, see Deldossi and Nai Ruscone (2020) <doi:10.18637/jss.v094.i02>.
Packaged: 2020-06-23 20:52:18 UTC; martanairuscone
Maintainer: Marta Nai Ruscone <marta.nairuscone@unige.it>