Continuous and Dichotomized Index Predictors Based on
Distribution Quantiles
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Documentation for package ‘Qindex’ version 0.1.3
Help Pages
| Qindex-package | Continuous and Dichotomized Index Predictors Based on Distribution Quantiles |
| BBC_dichotom | Bootstrap-based Optimism Corrected Optimal Dichotomization |
| bootIDX | Bootstrap Indexes |
| boot_optim_dichotom | Bootstrap-based Optimism Correction |
| celldata | Ki67 Data |
| clusterQp | Cluster-Specific Sample Quantiles |
| coef_dichotom | Regression Coefficients of Dichotomized Predictors |
| FRindex | Functional Regression Index Model |
| FRindex-class | FRindex Object: Functional Regression Index Model |
| FR_gam | Using gam for Functional Regression |
| gam2beta | Extract Functional Coefficient from gam Return |
| Ki67 | Ki67 Data |
| median_splitSample_dichotom | Median Effect Size for Multiple Sample Splits |
| m_rpartD | Dichotomize Multiple Predictors via Recursive Partitioning |
| optim_splitSample_dichotom | Selection of an Optimal Dichotomous Predictor via Repeated Sample Splits |
| predict.FRindex | Functional Regression Index Prediction |
| rpartD | Dichotomize via Recursive Partitioning |
| splitSample_dichotom | Dichotomizing Split Sample |
| std_IQR | Standardization via median and IQR |
| std_mad | Standardization via median and mad |
| stratifiedSplitSample | Stratified Split Sampling |