Continuous and Dichotomized Index Predictors Based on
Distribution Quantiles
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Documentation for package ‘Qindex’ version 0.1.5
Help Pages
| Qindex-package | Continuous and Dichotomized Index Predictors Based on Distribution Quantiles |
| BBC_dichotom | Bootstrap-based Optimism Correction for Dichotomization |
| celldata | Ki67 Data |
| clusterQp | Cluster-Specific Sample Quantiles |
| coef_dichotom | Bootstrap-based Optimism Correction for Dichotomization |
| FRindex | Functional Regression Indices & Weights |
| FRindex-class | Functional Regression Indices & Weights |
| FR_gam | Functional Regression Indices & Weights |
| Ki67 | Ki67 Data |
| m_rpartD | Dichotomize via Recursive Partitioning |
| nlFRindex | Nonlinear Functional Regression Indices |
| nlFRindex-class | Nonlinear Functional Regression Indices |
| optimism_dichotom | Bootstrap-based Optimism Correction for Dichotomization |
| optimSplit_dichotom | Optimal Dichotomizing Predictors via Repeated Sample Splits |
| predict.FRindex | Functional Regression Indices & Weights |
| predict.nlFRindex | Nonlinear Functional Regression Indices |
| quantile_split_dichotom | Optimal Dichotomizing Predictors via Repeated Sample Splits |
| rpartD | Dichotomize via Recursive Partitioning |
| rSplit | Random Split Sampling with Stratification |
| split_dichotom | Optimal Dichotomizing Predictors via Repeated Sample Splits |