Currently serving26343packages,22657articles, and64224datasets by1265organizations,13663 maintainers and22193 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
pecanproject
tidymodels
insightsengineering
thinkr-open
inbo
mlr-org
ohdsi
ggseg
modeloriented
paws-r
predictiveecology
flr
ropenspain
sciviews
bnosac
rmi-pacta
repboxr
mrcieu
openvolley
nlmixr2
epiverse-trace
frbcesab
yulab-smu
ices-tools-prod
azure
riatelab
statnet
appsilon
mlverse
bips-hb
cloudyr
rjdverse
epiforecasts
tmsalab
openpharma
hubverse-org
usaid-oha-si
usepa
bupaverse
dreamrs
easystats
merck
certe-medical-epidemiology
darwin-eu
business-science
ambiorix-web
coatless-rpkg
hugheylab
r-dbi
spatstat
rsquaredacademy
nutriverse
rikenbit
traitecoevo
bluegreen-labs
uscbiostats
epicentre-msf
gesistsa
ctu-bern
ipeagit
ocbe-uio
terminological
aus-doh-safety-and-quality
apache
cogdisreslab
rspatial
reconhub
humaniverse
biometris
ifpri
data-cleaning
nflverse
idslme
lbbe-software
oxfordihtm
a2-ai
framverse
stscl
dynverse
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
Allows to compare the goodness of fit of Benford's and Blondeau Da Silva's digit distributions in a dataset. It is used to check whether the data distribution is consistent with theoretical distributions highlighted by Blondeau Da Silva or not (through the dat.distr() function): this ideal theoretical distribution must be at least approximately followed by the data for the use of Blondeau Da Silva's model to be well-founded. It also enables to plot histograms of digit distributions, both observed in the dataset and given by the two theoretical approaches (with the digit.ditr() function). Finally, it proposes to quantify the goodness of fit via Pearson's chi-squared test (with the chi2() function).
Maintained by Blondeau Da Silva Stephane. Last updated 5 years ago.