| bigPLScox-package | bigPLScox-package |
| %*%-method | Matrix and arithmetic operations for big.matrix objects |
| Arith-method | Matrix and arithmetic operations for big.matrix objects |
| benchmark_deviance_residuals | Cox deviance residuals via C++ backends |
| bigmatrix-operations | Matrix and arithmetic operations for big.matrix objects |
| bigPLScox | bigPLScox-package |
| bigscale | Construct Scaled Design Matrices for Big Survival Models |
| bigSurvSGD.na.omit | Fit Survival Models with Stochastic Gradient Descent |
| big_pls_cox | Partial Least Squares Components for Cox Models with Big Matrices |
| big_pls_cox_gd | Gradient-Descent Solver for Cox Models on Big Matrices |
| component_information | Information criteria for component selection |
| component_information, | Information criteria for component selection |
| component_information.big_pls_cox | Information criteria for component selection |
| component_information.big_pls_cox, | Information criteria for component selection |
| component_information.big_pls_cox_gd | Information criteria for component selection |
| component_information.big_pls_cox_gd, | Information criteria for component selection |
| computeDR | Compute deviance residuals |
| coxDKgplsDR | Fitting a Direct Kernel group PLS model on the (Deviance) Residuals |
| coxDKgplsDR.default | Fitting a Direct Kernel group PLS model on the (Deviance) Residuals |
| coxDKgplsDR.formula | Fitting a Direct Kernel group PLS model on the (Deviance) Residuals |
| coxDKsgplsDR | Fitting a Direct Kernel group sparse PLS model on the (Deviance) Residuals |
| coxDKsgplsDR.default | Fitting a Direct Kernel group sparse PLS model on the (Deviance) Residuals |
| coxDKsgplsDR.formula | Fitting a Direct Kernel group sparse PLS model on the (Deviance) Residuals |
| coxDKspls_sgplsDR | Fitting a Cox-Model on sparse PLSR components using the (Deviance) Residuals |
| coxDKspls_sgplsDR.default | Fitting a Cox-Model on sparse PLSR components using the (Deviance) Residuals |
| coxDKspls_sgplsDR.formula | Fitting a Cox-Model on sparse PLSR components using the (Deviance) Residuals |
| coxgpls | Fitting a Cox-Model on group PLSR components |
| coxgpls.default | Fitting a Cox-Model on group PLSR components |
| coxgpls.formula | Fitting a Cox-Model on group PLSR components |
| coxgplsDR | Fitting a Cox-Model on group PLSR components using the (Deviance) Residuals |
| coxgplsDR.default | Fitting a Cox-Model on group PLSR components using the (Deviance) Residuals |
| coxgplsDR.formula | Fitting a Cox-Model on group PLSR components using the (Deviance) Residuals |
| coxsgpls | Fitting a Cox-Model on group sparse PLSR components |
| coxsgpls.default | Fitting a Cox-Model on group sparse PLSR components |
| coxsgpls.formula | Fitting a Cox-Model on group sparse PLSR components |
| coxsgplsDR | Fitting a Cox-Model on group sparse PLSR components using the (Deviance) Residuals |
| coxsgplsDR.default | Fitting a Cox-Model on group sparse PLSR components using the (Deviance) Residuals |
| coxsgplsDR.formula | Fitting a Cox-Model on group sparse PLSR components using the (Deviance) Residuals |
| coxspls_sgpls | Fitting a Cox-Model on sparse PLSR components |
| coxspls_sgpls.default | Fitting a Cox-Model on sparse PLSR components |
| coxspls_sgpls.formula | Fitting a Cox-Model on sparse PLSR components |
| coxspls_sgplsDR | Fitting a Cox-Model on sparse PLSR components using the (Deviance) Residuals |
| coxspls_sgplsDR.default | Fitting a Cox-Model on sparse PLSR components using the (Deviance) Residuals |
| coxspls_sgplsDR.formula | Fitting a Cox-Model on sparse PLSR components using the (Deviance) Residuals |
| cox_deviance_details | Cox deviance residuals via C++ backends |
| cox_deviance_residuals | Cox deviance residuals via C++ backends |
| cox_deviance_residuals_big | Cox deviance residuals via C++ backends |
| cox_partial_deviance_big | Cox deviance residuals via C++ backends |
| cv.big_pls_cox | Cross-validation for big-memory PLS-Cox models |
| cv.big_pls_cox_gd | Cross-validation for big-memory PLS-Cox models |
| cv.coxDKgplsDR | Cross-validating a Direct Kernel group PLS model fitted on the (Deviance) Residuals |
| cv.coxDKsgplsDR | Cross-validating a Direct Kernel group sparse PLS model fitted on the (Deviance) Residuals |
| cv.coxDKspls_sgplsDR | Cross-validating a Direct Kernel sparse PLS model fitted on the (Deviance) Residuals |
| cv.coxgpls | Cross-validating a Cox-Model fitted on group PLSR components |
| cv.coxgplsDR | Cross-validating a Cox-Model fitted on group PLSR components using (Deviance) Residuals |
| cv.coxsgpls | Cross-validating a Cox-Model fitted on sparse group PLSR components |
| cv.coxsgplsDR | Cross-validating a Cox-Model fitted on sparse group PLSR components using (Deviance) Residuals |
| cv.coxspls_sgpls | Cross-validating a Cox-Model fitted on sparse PLSR components |
| cv.coxspls_sgplsDR | Cross-validating a Cox-Model fitted on sparse PLSR components components using (Deviance) Residuals |
| dataCox | Cox Proportional Hazards Model Data Generation From Weibull Distribution |
| dCox_sim | Simulated survival dataset for Cox models |
| micro.censure | Microsat features and survival times |
| partialbigSurvSGDv0 | Incremental Survival Model Fitting with Pre-Scaled Data |
| predict.big_pls_cox | Predict method for big-memory PLS-Cox models |
| predict.big_pls_cox_gd | Predict method for big-memory PLS-Cox models |
| predict.coxDKgplsDR | Predict survival summaries from legacy Cox-PLS fits |
| predict.coxDKsgplsDR | Predict survival summaries from legacy Cox-PLS fits |
| predict.coxDKspls_sgplsDR | Predict survival summaries from legacy Cox-PLS fits |
| predict.coxgpls | Predict survival summaries from legacy Cox-PLS fits |
| predict.coxgplsDR | Predict survival summaries from legacy Cox-PLS fits |
| predict.coxsgpls | Predict survival summaries from legacy Cox-PLS fits |
| predict.coxsgplsDR | Predict survival summaries from legacy Cox-PLS fits |
| predict.coxspls_sgpls | Predict survival summaries from legacy Cox-PLS fits |
| predict.gPLS | Predict responses and latent scores from PLS fits |
| predict.pls.cox | Predict responses and latent scores from PLS fits |
| predict.sgPLS | Predict responses and latent scores from PLS fits |
| predict.sPLS | Predict responses and latent scores from PLS fits |
| predict_cox_pls | Predict survival summaries from legacy Cox-PLS fits |
| predict_pls_latent | Predict responses and latent scores from PLS fits |
| select_ncomp | Information criteria for component selection |
| sim_data | Simulated dataset |
| Xmicro.censure_compl_imp | Imputed Microsat features |