Changes in version 1.1.2 ##Improvement - Updated MTLR_pred_model_f.R, Lasso_PI_scores_f.R, mean_median_surv_barplot_f.R, Nomogram_generate_f.R,surv_curve_plots_f.R script to remove undesired package - Updated DESCRIPTION file include required biocview terms Version update - Bumped version from 1.1.1 to 1.1.2. Changes in version 1.1.1 ##Improvement - Updated MTLR_pred_model_f function to make it simple Version update - Bumped version from 1.1.0 to 1.1.1. Changes in version 1.1.0 New Features - predict_survival_risk_group_f(): - Added a new function to build Random Forest-based survival risk group classifiers using selected molecular features. - Automatically selects the best-performing model based on prediction accuracy across various ntree values (10 to 1000). - Outputs include predicted risk groups, prediction probabilities, misclassification summary, best model, and tree-wise performance matrix. - km_overlay_plot_f(): - Introduced a new function to generate Kaplan-Meier survival plots overlayed with individual test sample survival curves. - Useful for visualizing predicted test sample risk in the context of population-level survival groups. - Includes annotated output with sample ID, predicted group, and probability. Updated data files, added new files Improvement - Updated MTLR_pred_model_f function to compute MAE and improve the structure of function. Documentation - Updated Description file - Updated vignette file CPSM.Rmd: - Included usage details and examples for new functions. - Enhanced step-by-step explanation of prediction and visualization workflows. Version update - Bumped version from 1.0.0 to 1.1.0 Changes in version 1.0.0 First Official release of the CPSM package on Bioconductor. - Includes core functionality for: - Data preprocessing, and data normalization - Feature selection for survival modeling - Model prediction and evaluation - Visualization using survival cureves plots, mean-median barplot, nomograms. Documentation - Initial vignette CPSM.Rmd added, detailing step-by-step usage of the package. - Includes installation instructions, use-case workflows, and examples. - Ensured compliance with Bioconductor submission guidelines. - Bumped version from 0.99.7 (development) to 1.0.0 (release). Changes in version 0.99.7 - Updated vigenette file "CPSM.Rmd", updated installation instruction as per Bioconductor guidelines - updated data_process_f.R - Updated DESCRIPTION file to add author and version update - Bumped the version from 0.99.6 to 0.99.7 as per Bioconductor guidelines Changes in version 0.99.6 - Updated vigenette file "CPSM.Rmd" included YAML header of the vignette - corrected input in MTLR_pred_model_f.R file - updated .gitignore file - Bumped the version from 0.99.5 to 0.99.6 as per Bioconductor guidelines Changes in version 0.99.5 - Updated the function previously dependent on the SurvMetrics package. The computation is now implemented using the survival and pec packages, removing the dependency on SurvMetrics. - Resolved issues with the NAMESPACE file: - Removed exportPattern("^[[:alpha:]]+") from the NAMESPACE file. - Bumped the version from 0.99.4 to 0.99.5 as per Bioconductor guidelines Changes in version 0.99.4 - Removed indentation inconsistencies in all R scripts for better readability. - Bumped the version from 0.99.3 to 0.99.4 as per Bioconductor guidelines. Changes in version 0.99.3 Updates - Updated DESCRIPTION file to include file LICENSE in the License field. - Removed indentation inconsistencies in all R scripts for better readability. - Bumped the version from 0.99.2 to 0.99.3 as per Bioconductor guidelines. Fixes - Addressed BiocCheck notes on coding practices. Changes in version 0.99.2 - Fixed indentation issues in R source files. - Removed redundant Maintainer field from the DESCRIPTION file.