Nothing
print
method with type of measure being used for choosing $M$ and $\nu$simulate_spareg_data()
.poisson()
link.extract_spareg()
to extract fitted values,
residuals, and coefficients from a fitted model.get_model()
to extract the best or the 1se model.get_measure()
to extract the table of (cross-)
validation measures for the grid of (nu, nummods)
.coefspar
with print
and summary
methods to improve the usability of
the coef
method.get_intercept()
and get_coef()
to extract the intercept and coefficients (non-standardized) from the
coefspar
objects.avg_type
i.e., type of averaging the marginal models to spar()
. This
argument is used in computing the validation measure.coef
argument from predict
method.aggregate = c("mean", "median")
argument for predict
method.Any scripts or data that you put into this service are public.
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