Efficient Best Subset Selection for GLMs via Branch and Bound
Algorithms
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘BranchGLM’ version 3.0.1
Help Pages
| AUC | Cindex/AUC |
| barplot.BranchGLMVI | Bar Plot Method for BranchGLMVI Objects |
| boxplot.BranchGLMVI.boot | Box Plot Method for BranchGLMVI.boot Objects |
| BranchGLM | Fits GLMs |
| BranchGLM.fit | Fits GLMs |
| Cindex | Cindex/AUC |
| Cindex.BranchGLM | Cindex/AUC |
| Cindex.BranchGLMROC | Cindex/AUC |
| Cindex.numeric | Cindex/AUC |
| coef.BranchGLM | Extract Coefficients from BranchGLM Objects |
| coef.BranchGLMVS | Extract Coefficients from BranchGLMVS or summary.BranchGLMVS Objects |
| coef.summary.BranchGLMVS | Extract Coefficients from BranchGLMVS or summary.BranchGLMVS Objects |
| confint.BranchGLM | Likelihood Ratio Confidence Intervals for Beta Coefficients for BranchGLM Objects |
| deviance.BranchGLM | Extract the Deviance |
| extractAIC.BranchGLM | Extract AIC from BranchGLM Objects |
| family.BranchGLM | Extract Family from BranchGLM Objects |
| formula.BranchGLM | Extract Model Formula from BranchGLM Objects |
| hist.BranchGLMVI.boot | Histogram Method for BranchGLMVI.boot Objects |
| logLik.BranchGLM | Extract Log-Likelihood from BranchGLM Objects |
| model.frame.BranchGLM | Extract Model Frame from a BranchGLM Object |
| MultipleROCCurves | Plotting Multiple ROC Curves |
| nobs.BranchGLM | Extract Number of Observations from BranchGLM Objects |
| plot.BranchGLM | Plot Method for BranchGLM Objects |
| plot.BranchGLMCIs | Plot Method for BranchGLMCIs Objects |
| plot.BranchGLMROC | Plot Method for BranchGLMROC Objects |
| plot.BranchGLMVS | Plot Method for summary.BranchGLMVS and BranchGLMVS Objects |
| plot.summary.BranchGLMVS | Plot Method for summary.BranchGLMVS and BranchGLMVS Objects |
| plotCI | Plot Confidence Intervals |
| predict.BranchGLM | Predict Method for BranchGLM Objects |
| predict.BranchGLMVS | Predict Method for BranchGLMVS or summary.BranchGLMVS Objects |
| predict.summary.BranchGLMVS | Predict Method for BranchGLMVS or summary.BranchGLMVS Objects |
| print.BranchGLM | Print Method for BranchGLM Objects |
| print.BranchGLMCIs | Print Method for BranchGLMCIs Objects |
| print.BranchGLMROC | Print Method for BranchGLMROC Objects |
| print.BranchGLMTable | Print Method for BranchGLMTable Objects |
| print.BranchGLMVI | Print Method for BranchGLMVI Objects |
| print.BranchGLMVI.boot | Print Method for BranchGLMVI.boot Objects |
| print.BranchGLMVS | Print Method for BranchGLMVS Objects |
| print.summary.BranchGLMVS | Print Method for summary.BranchGLMVS Objects |
| residuals.BranchGLM | Extract the Pearson Residuals from BranchGLM Objects |
| ROC | ROC Curve |
| ROC.BranchGLM | ROC Curve |
| ROC.numeric | ROC Curve |
| sigma.BranchGLM | Extract Square Root of the Dispersion Parameter Estimates |
| summary.BranchGLMVS | Summary Method for BranchGLMVS Objects |
| Table | Confusion Matrix |
| Table.BranchGLM | Confusion Matrix |
| Table.numeric | Confusion Matrix |
| VariableImportance | Computes Exact or Approximate L0-penalization based Variable Importance for GLMs |
| VariableImportance.boot | Performs Parametric Bootstrap for Modified Variable Importance |
| VariableImportance.boot.BranchGLMVI | Performs Parametric Bootstrap for Modified Variable Importance |
| VariableImportance.boot.BranchGLMVS | Performs Parametric Bootstrap for Modified Variable Importance |
| VariableSelection | Variable Selection for GLMs |
| VariableSelection.BranchGLM | Variable Selection for GLMs |
| VariableSelection.formula | Variable Selection for GLMs |
| vcov.BranchGLM | Extract covariance matrix from BranchGLM Objects |