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cvq2 (version 1.1.0)

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

1.1.0

License

GPL-3

Maintainer

Torsten Thalheim

Last Published

March 13th, 2013

Functions in cvq2 (1.1.0)

cvq2-package

Calculate the predictive squared correlation coefficient.
cvq2.setB

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

Small data set to demonstrate the difference between the conventional and the predictive squared correlation coefficient.
cvq2.setA_pred

Prediction set for model set cvq2.setA.
cvq2-class

Class "cvq2"
q2

Model prediction power calculation.
q2-class

Class "q2"