| ssd_gof {ssdtools} | R Documentation |
Goodness of Fit
Description
Returns a tbl data frame with the following columns
- dist
The distribution name (chr)
- aic
Akaike's Information Criterion (dbl)
- bic
Bayesian Information Criterion (dbl)
and if the data are non-censored
- aicc
Akaike's Information Criterion corrected for sample size (dbl)
and if there are 8 or more samples
- ad
Anderson-Darling statistic (dbl)
- ks
Kolmogorov-Smirnov statistic (dbl)
- cvm
Cramer-von Mises statistic (dbl)
In the case of an object of class fitdists the function also returns
- delta
The Information Criterion differences (dbl)
- weight
The Information Criterion weights (dbl)
where delta and weight are based on aic for censored data
and aicc for non-censored data.
Usage
ssd_gof(x, ...)
## S3 method for class 'fitdists'
ssd_gof(x, pvalue = FALSE, ...)
Arguments
x |
The object. |
... |
Unused. |
pvalue |
A flag specifying whether to return p-values or the statistics (default) for the various tests. |
Value
A tbl data frame of the gof statistics.
Methods (by class)
-
ssd_gof(fitdists): Goodness of Fit
See Also
Examples
fits <- ssd_fit_dists(ssddata::ccme_boron)
ssd_gof(fits)
ssd_gof(fits)