Diagnosis Performance Using Attributable Fraction
c(
person(given = "John J.",
family = "Aponte",
role = c("aut", "cre"),
email = "john.j.aponte@gmail.com",
comment = c(ORCID = "0000-0002-3014-3673")),
person(given = "Orvalho",
family = "Augusto",
role = c("aut"),
email = "caveman@gmail.com",
comment = c(ORCID = "0000-0002-0005-3968"))
)
Estimate diagnosis performance (Sensitivity, Specificity,
Positive predictive value, Negative predicted value) of a diagnostic test
where can not measure the golden standard but can estimate it using the
attributable fraction.
knitr, rmarkdown, ggplot2, DescTools, kableExtra, coda,
rjags, ggmcmc, spelling, testthat (>= 3.0.0)

Provides convenience functions for analyzing factorial experiments
using ANOVA or mixed-models. ez.glm() and aov.car() allow convenient
calculation of between, within (i.e., repeated-measures), or mixed
between-within (i.e., split-plot) ANOVAs for data in the long format (i.e.,
one observation per row) wrapping car::Anova() (aggregating more then one
observation per individual and cell of the design), per default returning a
print ready ANOVA table. Function mixed() fits a mixed model using
lme4::lmer() and computes p-values for all effects in the model using
either the Kenward-Roger approximation of degrees of freedom (LMM only),
parametric bootstrap (LMMs and GLMMs) or likelihood ratio tests (LMMs and
GLMMs). afex uses type 3 sums of squares as default (imitating commercial
statistical software). Furthermore, compare.2.vectors() conveniently
compares two vectors using a variety of tests.
c(person(given="Henrik", family="Singmann",
email="henrik.singmann@psychologie.uni-freiburg.de", role=c("aut", "cre")),
person(given="Ben", family="Bolker", role=c("ctb")), person(given="Søren",
family="Højsgaard", role=c("ctb")), person(given="John", family="Fox",
role=c("ctb")), person(given="Michael A.", family="Lawrence",
role=c("ctb")), person(given="Ulf", family="Mertens", role=c("ctb")) )
Henrik Singmann [aut, cre],
Ben Bolker [ctb],
Søren Højsgaard [ctb],
John Fox [ctb],
Michael A. Lawrence [ctb],
Ulf Mertens [ctb]