Package: CPSM 1.5.0

Introduction | Installation | Input Data | Example Data from the package | Using Your Own Data | Notes for Users | Step 1- Data Processing | Description | Required inputs | Example Code | Outputs | Step 2 - Split Data into Training and Test Subset | Step 3 - Data Normalization | Step 4a - Prognostic Index (PI) Score Calculation | Step 4b - Univariate Survival Significant Feature Selection | Step 5 - Prediction model development for survival probability of patients | Model for only Clinical features | Example Code | Model for PI | Model for Clinical features + PI | Model for Univariate + Clinical features | Step 6 - Survival curves/plots for individual patient | Required Inputs | Step 7 - Predicted mean and median survival time of individual patients | Step 8 – Risk-Group Prediction of Test Samples Based on Selected Features | Step 9 – Visual Overlay of Predicted Test Sample on Kaplan-Meier Curve | Step 10 - Nomogram based on Key features | SessionInfo | References