Currently serving26341packages,22656articles, and64225datasets by1265organizations,13662 maintainers and22192 contributors.
vimc
lcbc-uio
stan-dev
pharmaverse
r-spatial
tidyverse
ropengov
rstudio
r-lib
ropensci
bioc
r-forge
kwb-r
pik-piam
hypertidy
poissonconsulting
mrc-ide
tidymodels
pecanproject
insightsengineering
thinkr-open
mlr-org
inbo
ohdsi
ggseg
modeloriented
paws-r
predictiveecology
flr
ropenspain
sciviews
bnosac
openvolley
rmi-pacta
repboxr
mrcieu
nlmixr2
epiverse-trace
frbcesab
ices-tools-prod
yulab-smu
statnet
riatelab
azure
mlverse
bips-hb
appsilon
epiforecasts
cloudyr
rjdverse
tmsalab
usepa
dreamrs
usaid-oha-si
bupaverse
openpharma
hubverse-org
easystats
business-science
coatless-rpkg
ambiorix-web
merck
darwin-eu
certe-medical-epidemiology
nutriverse
rsquaredacademy
spatstat
bluegreen-labs
r-dbi
hugheylab
uscbiostats
rikenbit
traitecoevo
apache
reconhub
rspatial
ifpri
ctu-bern
gesistsa
terminological
data-cleaning
biometris
humaniverse
nflverse
aus-doh-safety-and-quality
ocbe-uio
epicentre-msf
ipeagit
cogdisreslab
doi-usgs
piecepackr
gamlss-dev
stscl
atsa-es
mazamascience
csids
Want to learn more about r-universe? Have a look atropensci.org/r-universeor updates from the rOpenSci blog:
Showing 1 of total 1 results (show query)
cran
The bivariate copula mixed model for meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos (2015) <doi:10.1002/sim.6595> and Nikoloulopoulos (2018) <doi:10.1007/s10182-017-0299-y>. The vine copula mixed model for meta-analysis of diagnostic test accuracy studies accounting for disease prevalence in Nikoloulopoulos (2017) <doi:10.1177/0962280215596769> and also accounting for non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1515/ijb-2019-0107>. The hybrid vine copula mixed model for meta-analysis of diagnostic test accuracy case-control and cohort studies in Nikoloulopoulos (2018) <doi:10.1177/0962280216682376>. The D-vine copula mixed model for meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos (2019) <doi:10.1177/0962280218796685>. The multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic tests with non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1177/0962280220913898>. The one-factor copula mixed model for joint meta-analysis of multiple diagnostic tests in Nikoloulopoulos (2022) <doi:10.1111/rssa.12838>. The multinomial six-variate 1-truncated D-vine copula mixed model for meta-analysis of two diagnostic tests accounting for within and between studies dependence in Nikoloulopoulos (2024) <doi:10.1177/09622802241269645>. The 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard (Nikoloulopoulos, 2024).
Maintained by Aristidis K. Nikoloulopoulos. Last updated 5 months ago.