R: Optimized Kaplan Meier analysis and identification and validation of prognostic biomarkers

# Optimized Kaplan Meier analysis and identification and validation of prognostic biomarkers

## Documentation for package ‘kmcut’ version 1.7.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

create_se_object | Create SummarizedExperiment object
extract_columns | Extract a sub-set of columns
extract_rows | Extract a sub-set of rows
km_opt_pcut | Find and evaluate optimal stratification cutoffs
km_opt_scut | Find optimal stratification cutoffs
km_qcut | Apply quantile-based stratification cutoffs
km_ucut | Apply user-supplied stratification cutoff
km_val_cut | Validate stratification cutoffs on test data
transpose_table | Transpose a data table
ucox_batch | Fit Cox regression models in batch mode
ucox_pred | Fit and validate Cox regression models