Package: speedglm 0.3-4

Marco Enea

speedglm: Fitting Linear and Generalized Linear Models to Large Data Sets

Fitting linear models and generalized linear models to large data sets by updating algorithms.

Authors:Marco Enea [aut, cre], Ronen Meiri [ctb], Tomer Kalimi [ctb]

speedglm_0.3-4.tar.gz
speedglm_0.3-4.zip(r-4.5)speedglm_0.3-4.zip(r-4.4)speedglm_0.3-4.zip(r-4.3)
speedglm_0.3-4.tgz(r-4.4-any)speedglm_0.3-4.tgz(r-4.3-any)
speedglm_0.3-4.tar.gz(r-4.5-noble)speedglm_0.3-4.tar.gz(r-4.4-noble)
speedglm_0.3-4.tgz(r-4.4-emscripten)speedglm_0.3-4.tgz(r-4.3-emscripten)
speedglm.pdf |speedglm.html
speedglm/json (API)
NEWS

# Install 'speedglm' in R:
install.packages('speedglm', repos = c('https://blaserlab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/marcoenea/speedglm/issues

Datasets:

On CRAN:

13 exports 5 stars 2.46 score 3 dependencies 10 dependents 5.2k downloads

Last updated 2 years agofrom:4a15e74ce2

Exports:controlcpis.sparsepredict.speedglmpredict.speedlmshglmspeedglmspeedglm.wfitspeedlmspeedlm.fitspeedlm.wfitupdate.speedlmupdateWithMoreData

Dependencies:latticeMASSMatrix

Readme and manuals

Help Manual

Help pageTopics
Fitting Linear and Generalized Linear Models to Large Data Setsspeedglm-package
Wrappers to the add1 and drop1 methods for speedlm and speedglm objectsadd1.speedglm add1.speedlm drop1.speedglm drop1.speedlm extractAIC.speedglm extractAIC.speedlm nobs.speedglm nobs.speedlm
Miscellanea of functionscontrol cp is.sparse
A toy datasetdata1
Predict method for a speedglm objectpredict.speedglm
Predict method for a speedlm objectpredict.speedlm
Fitting Generalized Linear Models for Large Data Setsshglm speedglm speedglm.wfit
Fitting Linear Models to Large Data Setsspeedlm speedlm.fit speedlm.wfit update.speedlm updateWithMoreData
Methods to summarize Generalized Linear Models fitsAIC.speedglm coef.speedglm logLik.speedglm summary.speedglm vcov.speedglm
Methods to summarize Linear Models fitsAIC.speedlm coef.speedlm logLik.speedlm summary.speedlm vcov.speedlm