Currently serving26341packages,22657articles, and64224datasets 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
inbo
mlr-org
ohdsi
ggseg
modeloriented
paws-r
predictiveecology
flr
ropenspain
sciviews
bnosac
repboxr
rmi-pacta
mrcieu
openvolley
epiverse-trace
nlmixr2
yulab-smu
frbcesab
ices-tools-prod
statnet
riatelab
azure
appsilon
mlverse
bips-hb
rjdverse
epiforecasts
cloudyr
tmsalab
bupaverse
hubverse-org
usaid-oha-si
usepa
dreamrs
openpharma
coatless-rpkg
darwin-eu
business-science
merck
easystats
ambiorix-web
certe-medical-epidemiology
traitecoevo
spatstat
rikenbit
bluegreen-labs
uscbiostats
rsquaredacademy
hugheylab
nutriverse
r-dbi
ipeagit
ocbe-uio
epicentre-msf
nflverse
ctu-bern
terminological
cogdisreslab
apache
ifpri
aus-doh-safety-and-quality
reconhub
biometris
data-cleaning
gesistsa
rspatial
humaniverse
decisionpatterns
stscl
piecepackr
idslme
gamlss-dev
csids
winvector
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.