c(person(given = "Edgar", family = "Merkle",
role = c("aut", "cre"),
email = "merklee@missouri.edu",
comment = c(ORCID = "0000-0001-7158-0653")),
person(given = "Yves", family = "Rosseel",
role  = "aut",
email = "Yves.Rosseel@UGent.be"),
person(given = "Ben", family = "Goodrich", role = "aut",
email = "benjamin.goodrich@columbia.edu"),
person(given = "Mauricio",
family = "Garnier-Villarreal",
role = "ctb",
email = "mgv@pm.me",
comment = c(ORCID = "0000-0002-2951-6647",
"R/blav_compare.R", "R/ctr_bayes_fit.R", "vignettes/approx_fi.Rmd")),
person(given = c("Terrence", "D."), family = "Jorgensen",
role = "ctb",
email = "TJorgensen314@gmail.com",
comment = c(ORCID = "0000-0001-5111-6773",
"R/ctr_bayes_fit.R", "R/ctr_ppmc.R", "R/blav_predict.R")),
person(given = "Huub", family="Hoofs", role = "ctb",
comment = "R/ctr_bayes_fit.R"),
person(given = "Rens", family="van de Schoot",
role = "ctb", comment = "R/ctr_bayes_fit.R"),
person(given = "Andrew", family="Johnson", role="ctb",
comment = "Makevars"),
person(given = "Matthew", family="Emery", role="ctb",
comment = "loo moment_match")
)
stats, utils, graphics, coda, mnormt, nonnest2(>= 0.5-5),
loo(>= 2.0), rstan(>= 2.21.2), rstantools(>= 1.5.0),
RcppParallel (>= 5.0.1), bayesplot, Matrix, future.apply,
tmvnsim
runjags(>= 2.0.4-4), modeest(>= 2.3.3), rjags, cmdstanr,
semTools, tinytest
Edgar Merkle [aut, cre] (<https://orcid.org/0000-0001-7158-0653>),
Yves Rosseel [aut],
Ben Goodrich [aut],
Mauricio Garnier-Villarreal [ctb]
(<https://orcid.org/0000-0002-2951-6647>, R/blav_compare.R,
R/ctr_bayes_fit.R, vignettes/approx_fi.Rmd),
Terrence D. Jorgensen [ctb] (<https://orcid.org/0000-0001-5111-6773>,
R/ctr_bayes_fit.R, R/ctr_ppmc.R, R/blav_predict.R),
Huub Hoofs [ctb] (R/ctr_bayes_fit.R),
Rens van de Schoot [ctb] (R/ctr_bayes_fit.R),
Andrew Johnson [ctb] (Makevars),
Matthew Emery [ctb] (loo moment_match)

A New Link Function that Blends Two Specified Link Functions
A new link function that equals one specified link function up to a cutover then a linear rescaling of another specified link function. For use in glm() or glm2(). The intended use is in binary regression, in which case the first link should be set to "log" and the second to "logit". This ensures that fitted probabilities are between 0 and 1 and that exponentiated coefficients can be interpreted as relative risks for probabilities up to the cutoff.