# Adaptive LASSO and Network Regularized Generalized Linear Models

## Documentation for package ‘glmaag’ version 0.0.6

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

coef.cv_glmaag | Coefficients
coef.glmaag | Coefficients for glmaag
coef.ss_glmaag | Coefficients for ss_glmaag
cv_glmaag | Cross validation for glmaag
evaluate | Evaluate prediction
evaluate_plot | Prediction visualization
getcut | Get optimal cut points for binary or right censored phenotype
getS | Estimate standardized Laplacian matrix
glmaag | Fit glmaag model
L0 | sample network 0
L1 | sample network 1
laps | Standardized Laplacian matrix
plot.cv_glmaag | Cross validation plot
plot.glmaag | Paths for glmaag object
plot.ss_glmaag | Instability plot
predict.cv_glmaag | Predict
predict.glmaag | Prediction for glmaag
predict.ss_glmaag | Prediction via stability selection
print.cv_glmaag | the results of the cross validation model
print.ss_glmaag | the results of the stability selection model
runtheExample | Shiny app
sampledata | Simulated data
ss_glmaag | Stability selection for glmaag
tune_network | tune two network