Package: speedglm 0.3-5
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, according to the method described in Enea (2009, ISBN: 9788861294257).
Authors:
speedglm_0.3-5.tar.gz
speedglm_0.3-5.tar.gz(r-4.5-noble)speedglm_0.3-5.tar.gz(r-4.4-noble)
speedglm_0.3-5.tgz(r-4.4-emscripten)speedglm_0.3-5.tgz(r-4.3-emscripten)
speedglm.pdf |speedglm.html✨
speedglm/json (API)
NEWS
# Install 'speedglm' in R: |
install.packages('speedglm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- data1 - A toy dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:1e3456022d. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 10 2024 |
R-4.5-linux | OK | Oct 10 2024 |
Exports:controlcpis.sparsepredict.speedglmpredict.speedlmshglmspeedglmspeedglm.wfitspeedlmspeedlm.fitspeedlm.wfitupdate.speedlmupdateWithMoreData
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Fitting Linear and Generalized Linear Models to Large Data Sets | speedglm-package |
Wrappers to the 'add1' and 'drop1' methods for speedlm and speedglm objects | add1.speedglm add1.speedlm drop1.speedglm drop1.speedlm extractAIC.speedglm extractAIC.speedlm nobs.speedglm nobs.speedlm |
Miscellanea of functions | control cp is.sparse |
A toy dataset | data1 |
Predict method for a speedglm object | predict.speedglm |
Predict method for a speedlm object | predict.speedlm |
Fitting Generalized Linear Models for Large Data Sets | shglm speedglm speedglm.wfit |
Fitting Linear Models to Large Data Sets | speedlm speedlm.fit speedlm.wfit update.speedlm updateWithMoreData |
Methods to summarize Generalized Linear Models fits | AIC.speedglm coef.speedglm logLik.speedglm summary.speedglm vcov.speedglm |
Methods to summarize Linear Models fits | AIC.speedlm coef.speedlm logLik.speedlm summary.speedlm vcov.speedlm |