Biomarker Confirmation, Selection, Modelling, Prediction, and Validation

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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