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Returns a tbl data frame with the following columns
The distribution name (chr)
Akaike's Information Criterion (dbl)
Bayesian Information Criterion (dbl)
and if the data are non-censored
Akaike's Information Criterion corrected for sample size (dbl)
and if there are 8 or more samples
Anderson-Darling statistic (dbl)
Kolmogorov-Smirnov statistic (dbl)
Cramer-von Mises statistic (dbl)
In the case of an object of class fitdists the function also returns
The Information Criterion differences (dbl)
The Information Criterion weights (dbl)
where delta and weight are based on aic for censored data and aicc for non-censored data.
delta
weight
aic
aicc
ssd_gof(x, ...)# S3 method for fitdist ssd_gof(x, ...)# S3 method for fitdists ssd_gof(x, ...)# S3 method for fitdistcens ssd_gof(x, ...)# S3 method for fitdistscens ssd_gof(x, ...)
# S3 method for fitdist ssd_gof(x, ...)
# S3 method for fitdists ssd_gof(x, ...)
# S3 method for fitdistcens ssd_gof(x, ...)
# S3 method for fitdistscens ssd_gof(x, ...)
The object.
Unused.
A tbl data frame of the gof statistics.
fitdist: Goodness of Fit
fitdist
fitdists: Goodness of Fit
fitdists
fitdistcens: Goodness of Fit
fitdistcens
fitdistscens: Goodness of Fit
fitdistscens
# NOT RUN { ssd_gof(boron_lnorm) ssd_gof(boron_dists) ssd_gof(boron_lnorm) ssd_gof(boron_dists) ssd_gof(fluazinam_lnorm) ssd_gof(fluazinam_lnorm) # }
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