spint.dispersion.phi_disp¶

spint.dispersion.
phi_disp
(model)[source]¶ Test the hypothesis that var[y] = mu (equidispersion) against the alternative hypothesis (quasiPoisson) that var[y] = phi * mu where mu is the expected value of y and phi is an estimated overdispersion coefficient which is equivalent to 1+alpha in the alternative alpha dispersion test.
phi > 0: overdispersion phi = 1: equidispersion phi < 0: underdispersion
 Parameters
 modelModel results class
function can only be called on a sucessfully fitted model which has a valid response variable, y, and a valid predicted response variable, yhat.
 alt_varfunction
specifies an alternative varaince as a function of mu. Function must take a single scalar as input and return a single scalar as output
 Returns
 ——
 array[alpha coefficient, tvalue of alpha, pvalue of alpha]