Trends
Top trending packages by downloads from CRAN
Analysis
Trending R packages reveal a strong focus on advanced statistical modeling and analysis. Several packages address specific needs within this domain, including network meta-analysis (ssifs), generalized additive models (gam, evgam), and functional time series analysis (ftsa). The rise of packages like robin and leidenbase highlights the growing importance of network analysis and community detection in various fields.
Efficiency and scalability are also key themes. Packages like sparsevctrs improve data handling, while fastml streamlines machine learning workflows. The increased popularity of prqlr suggests a move towards more efficient data manipulation through integration with other languages. Furthermore, the focus on improving the R development experience is evident with packages like box.lsp and box.linters, enhancing code quality and editor integration.
Finally, there's a notable emphasis on specialized data types and imputation techniques. Packages such as FuzzyImputationTest and rbiom cater to the needs of researchers working with fuzzy data and biological observation matrices, respectively. The rise of rhino indicates a growing demand for robust frameworks for building enterprise-level Shiny applications. This diverse range of packages reflects the expanding applications of R across various scientific disciplines.
Data provided by CRAN
Summary generated by Google Gemini Flash 1.5
Trending packages
Trending packages are the ones that were downloaded at least 1000 times during last week, and that substantially increased their download counts, compared to the average weekly downloads in the previous 24 weeks.
ssifs
8981%
sparsevctrs
4887%
Rspc
2585%
prqlr
2181%
box.lsp
1464%
ggpackets
1446%
robin
1221%
gam
1202%
priorityelasticnet
1142%
box.linters
1018%
rhino
842%
FuzzyImputationTest
762%
evgam
659%
leidenbase
615%
rbiom
602%
fastml
601%
reformulas
601%
vannstats
596%
ftsa
580%
leafgl
575%
netmeta
571%
spacesXYZ
551%
RecordLinkage
533%
leaflegend
516%
cols4all
494%
box
481%
enrichR
451%
ada
442%
dataset
390%
pyinit
364%
googlePolylines
330%
nanoparquet
323%
RobStatTM
323%
rbibutils
322%
Rdpack
315%
rstac
312%
joineRML
310%
Rserve
303%
evd
298%
paws.common
289%
verification
282%
ff
280%
poweRlaw
271%
priceR
266%
spatial
258%
harbinger
256%
censReg
253%
S7
233%
paws.storage
232%
torch
231%
BMisc
227%
easystats
224%
sendmailR
223%
dad
221%
class
215%
rredlist
211%
lcmm
211%
mapiso
209%
jsonvalidate
208%
nnet
207%
qcc
207%
jtools
206%
glmmML
203%
visdat
202%
osrm
202%
naniar
196%
maptiles
196%
locfit
195%
tidyxl
193%
ggdist
191%
ISLR2
190%
sommer
187%
fivethirtyeight
187%
randomizr
185%
gsubfn
185%
fauxpas
184%
metadat
184%
bsicons
184%
adegenet
183%
qgam
181%
ggbreak
181%
KernSmooth
180%
tidycensus
178%
googleCloudStorageR
175%
tidyterra
174%
coro
173%
Robyn
172%
Factoshiny
170%
report
169%
proto
169%
broom.mixed
169%
mlapi
168%
gtrendsR
168%
archive
168%
misty
167%
modelbased
167%
logger
166%
tidytable
166%
ggtangle
165%
faraway
165%
Data provided by CRAN