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 |