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rQSAR

QSAR Modeling with Multiple Algorithms: MLR, PLS, and Random Forest

v1.0.0 · Apr 2, 2024 · MIT + file LICENSE

Description

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.

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ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Package required but not available: ‘rcdk’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
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Check History

ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Mar 9, 2026
ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Package required but not available: ‘rcdk’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

Dependency Network

Dependencies Reverse dependencies dplyr corrplot tibble gridExtra rcdk ggplot2 caret pls randomForest leaps rQSAR

Version History

new 1.0.0 Mar 9, 2026