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cvq2 (version 1.0.2)

Calculate the predictive squared correlation coefficient

Description

The external prediction capability of quantitative structure-activity relationship (QSAR) models is often quantified using the predictive squared correlation coefficient. This value can be calculated with an external data set or by cross validation.

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Version

Install

install.packages('cvq2')

Monthly Downloads

33

Version

1.0.2

License

GPL-3

Maintainer

Torsten Thalheim

Last Published

December 3rd, 2012

Functions in cvq2 (1.0.2)

cvq2-package

Calculate the predictive squared correlation coefficient.
cvq2

Calculation of the predictive squared correlation without external data set. A cross validation is applied to the data set, which is the base of a model.
cvq2.setB

Small data set to demonstrate the difference between the conventional squared correlation coefficient and the predictive squared correlation coefficient while performing a cross validation.
cvq2.setA

Small data set to demonstrate the difference between the conventional squared correlation coefficient and the predictive squared correlation coefficient while performing a Leave-One-Out cross validation.