Nothing
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).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Bin Wang [aut, cre], Xiaofei Wang [ctb], Jianhua Guo [ths] |
| Maintainer | Bin Wang <eatingbeen@hotmail.com> |
| License | GPL-2 |
| Version | 0.6.2 |
| URL | https://arxiv.org/abs/1911.00658 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the GAGAs package in your browser
Any scripts or data that you put into this service are public.
