R: Biomarker Confirmation, Selection, Modelling, Prediction, and Validation

# Biomarker Confirmation, Selection, Modelling, Prediction, and Validation

## Documentation for package ‘csmpv’ version 1.0.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

confirmVars | Biomarker Confirmation Function
csmpvModelling | All-in-one Modelling with csmpv R package
datlist | This is an example data in csmpv
LASSO2 | Variable Selection using Modified LASSO with a Minimum of Two Remaining Variables
LASSO2plus | Variable Selection and Modeling with LASSO2plus
LASSO2plus_XGBtraining | XGBoost Modeling after Variable Selection with LASSO2plus
LASSO2_predict | Predict and Validate LASSO2 Model Scores
LASSO2_reg | LASSO2 Variable Selection and Regular Regression Modeling
LASSO2_XGBtraining | Variable Selection with LASSO2 and Modeling with XGBoost
LASSO_plus | LASSO_plus Variable Selection and Modeling
LASSO_plus_XGBtraining | LASSO_plus_XGBtraining: Variable Selection and XGBoost Modeling
rms_model | A Wrapper for Building Predictive Models using the rms Package
validation | Validate Model Predictions
XGBtraining | A Wrapper Function for xgboost::xgboost
XGBtraining_predict | Predicting XGBoost Model Scores and Performing Validation
XGpred | XGpred: Building Risk Classification Predictive Models using Survival Data
XGpred_predict | Predicting Risk Group Classification for a New Data Set