c(person(given = "Pedro",
family = "C. Brom",
role = c("aut", "cre", "cph"),
email = "pcbrom@gmail.com",
comment = c(ORCID = "https://orcid.org/0000-0002-1288-7695", Lattes = "http://lattes.cnpq.br/0154064396756002")),
person(given = "Cira",
family = "E. G. Otiniano",
role = c("aut", "cph"),
email = "ciragotiniano@gmail.com",
comment = c(ORCID = "https://orcid.org/0000-0002-5619-0478")),
person(given = "Roberto",
family = "Vila",
role = c("aut", "cph"),
email = "rovig161@gmail.com",
comment = c(ORCID = "https://orcid.org/0000-0003-1073-0114")),
person(given = "Marcelo",
family = "B. Pereira",
role = c("aut", "cph"),
email = "m.p.bourguignon@gmail.com",
comment = c(ORCID = "https://orcid.org/0000-0002-1182-5193")))
Bimodal Gumbel distribution. General functions for performing extreme value analysis.

c(person(given = "Pedro",
family = "C. Brom",
role = c("aut", "cre", "cph"),
email = "pcbrom@gmail.com",
comment = c(ORCID = "https://orcid.org/0000-0002-1288-7695", Lattes = "http://lattes.cnpq.br/0154064396756002")),
person(given = "Cira",
family = "E. G. Otiniano",
role = c("aut", "cph"),
email = "ciragotiniano@gmail.com",
comment = c(ORCID = "https://orcid.org/0000-0002-5619-0478", Lattes = "http://lattes.cnpq.br/0307717595727716")),
person(given = "Roberto",
family = "Vila",
role = c("aut", "cph"),
email = "rovig161@gmail.com",
comment = c(ORCID = "https://orcid.org/0000-0003-1073-0114", Lattes = "http://lattes.cnpq.br/4978745622057574")),
person(given = "Marcelo",
family = "B. Pereira",
role = c("aut", "cph"),
email = "m.p.bourguignon@gmail.com",
comment = c(ORCID = "https://orcid.org/0000-0002-1182-5193", Lattes = "https://lattes.cnpq.br/9358366674842900")))

MCMCpack, MASS, quantreg, SparseM, coda, stats

Biomarker threshold models are tools to fit both predictive and prognostic biomarker effects. Both generalized linear models and Cox proportional hazards models can be fitted using either Bayesian method or profile likelihood method.

Biomarker threshold models are tools to fit both predictive and prognostic biomarker effects.