MLRMPA-package: Multiple Linear Regression Model Population Analysis

Description Details Author(s) References See Also

Description

This package allows to perform Multiple Linear Regression Model Population Analysis. It contains quickly deleting non-information and random selecting descriptors from the clustered descriptors and generating 2D-QSAR models, based on Monte Carlo Sampling technique and stepwise MLR. As a result a pool of models can be developed for modeling and prediction. Meanwhile, the predictive ability and robustness of the developed models will be illustrated using the following validation techniques: leave-one-out (LOO) cross-validation procedures, leave-group-out (LGO) cross-validation procedures, squared correlation coefficient of test set and validation through an external test set.

Details

Package: MLRMPA
Type: Package
Version: 1.0
Date: 2013-08-21
License: GPL-2

Author(s)

Meihong Xie, Xiaoyun Zhang

Maintainer: to complain to <[email protected]> or <[email protected]>

References

H. D. Li, Y. Z. Liang, Q. S. Xu, D. S. Cao, J. Chemomet. 2010, 24, 418-423.

See Also

ClustOfVar


MLRMPA documentation built on May 29, 2017, 10:17 a.m.