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sequential_F_test.m
This is a generic implementation of the statistical approach described in Chromatic summation and receptive field properties of blue-on and blue-off cells in marmoset lateral geniculate nucleus for hierarchical model fitting of models of increasing complexity to data.
The idea is : for each model, test the hypothesis that equation with its increased number of free parameters provided a significantly better fit to the data by calculating the residual errors for each model (see also Buzás et al. (2013). If the more complex model significantly reduces the residual error over its predecessor, as assessed by a 1-sided 2-sample F test for equal variances (p < 0.05), then the more complex model is adopted.
tools.sequential_F_test is part of package +tools
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