vecv: Variance explained by predictive models based on cross-validation
Description
vecv is used to calculate the variance explained by predictive
models based on cross-validation. The vecv is based on the differences between
the predicted values for, and the observed values of, validation samples
for cross-validation. It measures the proportion of variation in the
validation data explained by the predicted values obtained from predictive
models based on cross-validation.
Usage
vecv(obs, pred)
Arguments
obs
observation values of validation samples.
pred
prediction values of predictive models for validation samples.
Value
a numeric number.
References
Li, J., 2016. Assessing spatial predictive models in the environmental sciences: accuracy.
measures, data variation and variance explained. Environmental Modelling & Software 80 1-8.