Diagnostic and prognostic meta analysis (metamisc)
This package provides functions for diagnostic and
prognostic meta-analyses. It estimates univariate, bivariate
and multivariate models, and allows the aggregation of
previously published prediction models with new data.

stats, mvtnorm, ellipse, bbmle, rjags, coda

Meta-analysis of diagnostic and prognostic modeling studies. Summarize estimates of diagnostic test accuracy and prediction model performance. Validate, update and combine published prediction models.
R (>= 2.10), stats, graphics, bbmle, survival

Thomas Debray [aut, cre],
Valentijn de Jong [aut]

Meta-analysis of diagnostic and prognostic modeling studies. Summarize estimates of diagnostic test accuracy and prediction model performance. Validate, update and combine published prediction models. Develop new prediction models with data from multiple studies.
metafor (>= 2.0.0), mvtnorm, ellipse, lme4, plyr, ggplot2

c(person(given = "Thomas", family = "Debray", role = c("aut", "cre"), email = "thomas.debray@gmail.com"),
person(given = "Valentijn", family = "de Jong", role = "aut"))
Meta-analysis of diagnostic and prognostic modeling studies. Summarize estimates of prognostic factors, diagnostic test accuracy and prediction model performance. Validate, update and combine published prediction models. Develop new prediction models with data from multiple studies.

c(person(given = "Thomas", family = "Debray", role = c("aut", "cre"), email = "thomas.debray@gmail.com", comment="http://orcid.org/0000-0002-1790-2719"),
person(given = "Valentijn", family = "de Jong", role = "aut"))
Thomas Debray [aut, cre] (<https://orcid.org/0000-0002-1790-2719>),
Valentijn de Jong [aut]

c(person(given = "Thomas", family = "Debray", role = c("aut", "cre"),
email = "thomas.debray@gmail.com", comment="http://orcid.org/0000-0002-1790-2719"),
person(given = "Valentijn", family = "de Jong", role = "aut",
email="Valentijn.M.T.de.Jong@gmail.com", comment="https://orcid.org/0000-0001-9921-3468"))
Meta-analysis of diagnostic and prognostic modeling studies. Summarize estimates of prognostic factors,
diagnostic test accuracy and prediction model performance. Validate, update and
combine published prediction models. Develop new prediction models with data from multiple studies.
metafor (>= 2.0.0), mvtnorm, lme4, plyr, methods, pROC,
ggplot2
runjags, rjags, logistf (>= 1.23), testthat (>= 1.0.2)
Thomas Debray [aut, cre] (<https://orcid.org/0000-0002-1790-2719>),
Valentijn de Jong [aut] (<https://orcid.org/0000-0001-9921-3468>)