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
ggseg
ohdsi
modeloriented
paws-r
predictiveecology
ropenspain
flr
sciviews
bnosac
rmi-pacta
openvolley
mrcieu
repboxr
epiverse-trace
nlmixr2
ices-tools-prod
yulab-smu
frbcesab
azure
statnet
riatelab
bips-hb
appsilon
mlverse
epiforecasts
rjdverse
cloudyr
tmsalab
bupaverse
hubverse-org
usaid-oha-si
openpharma
dreamrs
usepa
easystats
merck
certe-medical-epidemiology
ambiorix-web
darwin-eu
coatless-rpkg
business-science
rsquaredacademy
rikenbit
uscbiostats
traitecoevo
hugheylab
spatstat
bluegreen-labs
r-dbi
nutriverse
aus-doh-safety-and-quality
ctu-bern
terminological
biometris
reconhub
ocbe-uio
cogdisreslab
nflverse
epicentre-msf
ifpri
humaniverse
apache
data-cleaning
gesistsa
rspatial
ipeagit
tlverse
winvector
cynkra
idslme
decisionpatterns
doi-usgs
oxfordihtm
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
With this package we provide an easy method to compute robust and conditional Data Envelopment Analysis (DEA), Free Disposal Hull (FDH) and Benefit of the Doubt (BOD) scores. The robust approach is based on the work of Cazals, Florens and Simar (2002) <doi:10.1016/S0304-4076(01)00080-X>. The conditional approach is based on Daraio and Simar (2007) <doi:10.1007/s11123-007-0049-3>. Besides we provide graphs to help with the choice of m. We relay on the 'Benchmarking' package to compute the efficiency scores and on the 'np' package to compute non parametric estimation of similarity among units.
Maintained by Anna Mergoni. Last updated 3 years ago.