# Global Adaptive Generative Adjustment Algorithm for Generalized Linear Models

## Documentation for package ‘GAGAs’ version 0.6.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

cal.acc | Calculate ACC for classification, the inputs must be characters
cal.cindex | compute C index for a Cox model
cal.F1Score | Calculate F1 score for classification, the inputs must be characters, and each of these elements must be either 'FALSE' or 'TRUE'.
cal.w.acc | Calculate the weighted ACC of the classification, the inputs must be characters
cox_GAGA | Fit a Cox model via the GAGA algorithm.
cpp_COX_gaga | Fit a Cox model via the GAGA algorithm using cpp.
cpp_logistic_gaga | Fit a logistic model via the Global Adaptive Generative Adjustment algorithm using cpp
cpp_multinomial_gaga | Fit a multinomial model via the GAGA algorithm using cpp
cpp_poisson_gaga | Fit a poisson model via the GAGA algorithm using cpp
GAGAs | GAGAs: A package for fiting a GLM with GAGA algorithm
LM_GAGA | Fit a linear model via the GAGA algorithm
logistic_GAGA | Fit a logistic model via the Global Adaptive Generative Adjustment algorithm
multinomial_GAGA | Fit a multinomial model via the GAGA algorithm
poisson_GAGA | Fit a Poisson model via the GAGA algorithm
predict.GAGA | Get predictions from a GAGA fit object
predict_cox_GAGA | Get predictions from a GAGA cox model fit object
predict_LM_GAGA | Get predictions from a GAGA linear model fit object
predict_logistic_GAGA | Get predictions from a GAGA logistic model fit object
predict_multinomial_GAGA | Get predictions from a GAGA multinomial model fit object
predict_poisson_GAGA | Get predictions from a GAGA poisson model fit object
rcpp_lm_gaga | Fit a linear model via the GAGA algorithm using cpp.
summary.GAGA | Print a summary of GAGA object