| AR | The covariance matrix with an autoregressive (AR) structure among variables |
| Augmented.data | Accommodating missingness in environmental measurements in gene-environment interaction analysis |
| bic.BLMCP | BIC for BLMCP |
| bic.PTReg | BIC for PTReg |
| BLMCP | Accommodating missingness in environmental measurements in gene-environment interaction analysis: penalized estimation and selection |
| coef.bic.BLMCP | Extract coefficients from a "bic.BLMCP" object |
| coef.bic.PTReg | Extract coefficients from a "bic.PTReg" object |
| coef.BLMCP | Extract coefficients from a "BLMCP" object |
| coef.PTReg | Extract coefficients from a "PTReg" object |
| coef.RobSBoosting | Extract coefficients from a "RobSBoosting" object |
| HNSCC | A data frame containing the TCGA head and neck squamous cell carcinoma (HNSCC) data. |
| Miss.boosting | Robust gene-environment interaction analysis approach via sparse boosting, where the missingness in environmental measurements is effectively accommodated using multiple imputation approach |
| plot.bic.BLMCP | Plot coefficients from a "bic.BLMCP" object |
| plot.bic.PTReg | Plot coefficients from a "bic.PTReg" object |
| plot.BLMCP | Plot coefficients from a "BLMCP" object |
| plot.Miss.boosting | Plot coefficients from a "Miss.boosting" object |
| plot.PTReg | Plot coefficients from a "PTReg" object |
| plot.RobSBoosting | Plot coefficients from a "RobSBoosting" object |
| predict.bic.BLMCP | Make predictions from a "bic.BLMCP" object. |
| predict.bic.PTReg | Make predictions from a "bic.PTReg" object |
| predict.BLMCP | Make predictions from a "BLMCP" object |
| predict.Miss.boosting | Make predictions from a "Miss.boosting" object |
| predict.PTReg | Make predictions from a "PTReg" object |
| predict.RobSBoosting | Make predictions from a "RobSBoosting" object |
| PTReg | Robust gene-environment interaction analysis using penalized trimmed regression |
| QPCorr.matrix | Robust identification of gene-environment interactions using a quantile partial correlation approach |
| QPCorr.pval | P-values of the "QPCorr.matrix" obtained using a permutation approach |
| RobSBoosting | Robust semiparametric gene-environment interaction analysis using sparse boosting |
| Rob_data | A matrix containing the simulated data for 'RobSBoosting' and 'Miss.boosting' methods |
| simulated_data | Simulated data for generating response |