Empirical Cumulative Distribution Function
Returns the desired quantiles of quantile regression object such as an extlogF1() or lms.bcn() VGLM object
eCDF.vglm(object, all = FALSE, ...)
This function was specifically written for
a vglm object
with family function extlogF1
or lms.bcn.
It returns the proportion of data lying below each of
the fitted quantiles, and optionally
the desired quantiles (arguments tau or
percentiles / 100 in the family function).
The output is coerced to be comparable between
family functions by calling the columns by
the same names.
A vector with each value lying in (0, 1).
If all = TRUE then a 2-column matrix with the
second column being the tau values or equivalent.
fit1 <- vglm(BMI ~ ns(age, 4), extlogF1, data = bmi.nz) # trace = TRUE eCDF(fit1) eCDF(fit1, all = TRUE)
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