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cvq2 (version 1.2.0)

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

57

Version

1.2.0

License

GPL-3

Maintainer

Torsten Thalheim

Last Published

October 15th, 2013

Functions in cvq2 (1.2.0)

cvq2.sample.C

Small data set to demonstrate the statistic methods.
cvq2-package

Calculate the predictive squared correlation coefficient.
cvq2.sample.A_pred

Prediction set for model set cvq2.sample.A.
cvq2.sample.D

Small data set to demonstrate the statistic methods.
q2-class

Class "q2"
q2

Model prediction power calculation.
predPow

Statistical analysis of a model results compared to observations.
cvq2.sample.A

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

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

Class "cvq2"