A complete toolkit to process the Munich ChronoType
Questionnaire (MCTQ) for its three versions (standard, micro, and shift).
MCTQ is a quantitative and validated tool to assess chronotypes using
peoples' sleep behavior, originally presented by Till Roenneberg, Anna
Wirz-Justice, and Martha Merrow (2003, <doi:10.1177/0748730402239679>).

c(person(given = "Daniel",
family = "Vartanian",
role = c("aut", "cre", "ccp", "cph"),
email = "danvartan@gmail.com",
comment = c(ORCID = "0000-0001-7782-759X")),
person(given = "Ana Amelia",
family = "Benedito-Silva",
role = c("aut", "sad"),
email = "aamelia@usp.br",
comment = c(ORCID = "0000-0003-4976-2623")),
person(given = "Mario",
family = "Pedrazzoli",
role = c("aut", "sad"),
email = "pedrazzo@usp.br",
comment = c(ORCID = "0000-0002-5257-591X")),
person(given = "Jonathan",
family = "Keane",
role = "rev",
email = "jkeane@gmail.com",
comment = c(ORCID = "0000-0001-7087-9776")),
person(given = "Mario Andre",
family = "Leocadio-Miguel",
role = "rev",
email = "miguel.ml.mario@gmail.com",
comment = c(ORCID = "0000-0002-7248-3529")),
person(given = "Interdisciplinary Sleep Research Group (GIPSO)",
role = "fnd"),
person(given = "University of Sao Paulo (USP)",
role = "fnd"))
Daniel Vartanian [aut, cre, ccp, cph]
(<https://orcid.org/0000-0001-7782-759X>),
Ana Amelia Benedito-Silva [aut, sad]
(<https://orcid.org/0000-0003-4976-2623>),
Mario Pedrazzoli [aut, sad] (<https://orcid.org/0000-0002-5257-591X>),
Jonathan Keane [rev] (<https://orcid.org/0000-0001-7087-9776>),
Mario Andre Leocadio-Miguel [rev]
(<https://orcid.org/0000-0002-7248-3529>),
Interdisciplinary Sleep Research Group (GIPSO) [fnd],
University of Sao Paulo (USP) [fnd]

c(person(given = "Axel",
family = "Gandy",
role = c("aut", "cre"),
email = "a.gandy@imperial.ac.uk"),
person(given="James",
family="Scott",
role=c("aut"),
email= "james.scott15@imperial.ac.uk"))
Unit testing for Monte Carlo methods, particularly Markov Chain Monte Carlo (MCMC) methods, are implemented as extensions of the 'testthat' package. The MCMC methods check whether the MCMC chain has the correct invariant distribution. They do not check other properties of successful samplers such as whether the chain can reach all points, i.e. whether is recurrent. The tests require the ability to sample from the prior and to run steps of the MCMC chain. The methodology is described in Gandy and Scott (2020) <arXiv:2001.06465>.
testthat (>= 2.3), stats, rlang, Rdpack (>= 0.7), methods,
simctest (>= 2.6)
Axel Gandy [aut, cre],
James Scott [aut]