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:Bin Wang [aut, cre], Xiaofei Wang [ctb], Jianhua Guo [ths]

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'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

12 exports 0.00 score 5 dependencies 197 downloads

Last updated 8 months agofrom:02b3295fee. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-linux-x86_64OKAug 21 2024

Exports:cal.acccal.cindexcal.F1Scorecal.w.acccox_GAGAGAGAsLM_GAGAlogistic_GAGAmultinomial_GAGApoisson_GAGApredict.GAGAsummary.GAGA

Dependencies:latticeMatrixRcppRcppEigensurvival

Readme and manuals

Help Manual

Help pageTopics
Calculate ACC for classification, the inputs must be characterscal.acc
compute C index for a Cox modelcal.cindex
Calculate F1 score for classification, the inputs must be characters, and each of these elements must be either 'FALSE' or 'TRUE'.cal.F1Score
Calculate the weighted ACC of the classification, the inputs must be characterscal.w.acc
Fit a Cox model via the GAGA algorithm.cox_GAGA
Fit a Cox model via the GAGA algorithm using cpp.cpp_COX_gaga
Fit a logistic model via the Global Adaptive Generative Adjustment algorithm using cppcpp_logistic_gaga
Fit a multinomial model via the GAGA algorithm using cppcpp_multinomial_gaga
Fit a poisson model via the GAGA algorithm using cppcpp_poisson_gaga
GAGAs: A package for fiting a GLM with GAGA algorithmGAGAs
Fit a linear model via the GAGA algorithmLM_GAGA
Fit a logistic model via the Global Adaptive Generative Adjustment algorithmlogistic_GAGA
Fit a multinomial model via the GAGA algorithmmultinomial_GAGA
Fit a Poisson model via the GAGA algorithmpoisson_GAGA
Get predictions from a GAGA cox model fit objectpredict_cox_GAGA
Get predictions from a GAGA linear model fit objectpredict_LM_GAGA
Get predictions from a GAGA logistic model fit objectpredict_logistic_GAGA
Get predictions from a GAGA multinomial model fit objectpredict_multinomial_GAGA
Get predictions from a GAGA poisson model fit objectpredict_poisson_GAGA
Get predictions from a GAGA fit objectpredict.GAGA
Fit a linear model via the GAGA algorithm using cpp.rcpp_lm_gaga
Print a summary of GAGA objectsummary.GAGA