Global Adaptive Generative Adjustment Algorithm for Generalized Linear Models

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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