Package: GAGAs 0.6.2
Bin Wang
GAGAs: Global Adaptive Generative Adjustment Algorithm for Generalized Linear Models
Fits linear regression, logistic and multinomial regression models, Poisson regression, Cox model via Global Adaptive Generative Adjustment Algorithm. For more detailed information, see Bin Wang, Xiaofei Wang and Jianhua Guo (2022) <arxiv:1911.00658>. This paper provides the theoretical properties of Gaga linear model when the load matrix is orthogonal. Further study is going on for the nonorthogonal cases and generalized linear models. These works are in part supported by the National Natural Foundation of China (No.12171076).
Authors:
GAGAs_0.6.2.tar.gz
GAGAs_0.6.2.tar.gz(r-4.5-noble)GAGAs_0.6.2.tar.gz(r-4.4-noble)
GAGAs_0.6.2.tgz(r-4.4-emscripten)GAGAs_0.6.2.tgz(r-4.3-emscripten)
GAGAs.pdf |GAGAs.html✨
GAGAs/json (API)
NEWS
# Install 'GAGAs' in R: |
install.packages('GAGAs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:02b3295fee. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux-x86_64 | OK | Oct 31 2024 |
Exports:cal.acccal.cindexcal.F1Scorecal.w.acccox_GAGAGAGAsLM_GAGAlogistic_GAGAmultinomial_GAGApoisson_GAGApredict.GAGAsummary.GAGA