rQSAR
QSAR Modeling with Multiple Algorithms: MLR, PLS, and Random Forest
Quantitative Structure-Activity Relationship (QSAR) modeling is a valuable tool in computational chemistry and drug design, where it aims to predict the activity or property of chemical compounds based on their molecular structure. In this vignette, we present the 'rQSAR' package, which provides functions for variable selection and QSAR modeling using Multiple Linear Regression (MLR), Partial Least Squares (PLS), and Random Forest algorithms.
- Version1.0.0
- R version≥ 3.6.0
- LicenseMIT
- Needs compilation?No
- Last release04/02/2024
Documentation
Team
Oche Ambrose George
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- Depends4 packages
- Imports6 packages
- Suggests2 packages