gof_bootstrap: Goodness of Fit for Univariate Distributions with...
In jstagge/staggefuncs: General Personal Functions for James Stagge
Description
Usage
Arguments
Value
View source: R/gof_bootstrap.R
Description
Calculates a number of goodness of fit statatistics for a chosen univariate distribution. This function was created because published p-values for the Kolmogorov-Smirnov, Anderson-Darling and Cramer-von-Mises tests are not valid if the distribution is estimated from the data. This function uses bootstrapping to obtain the p-value based on the distribution and parameters.
Usage
1
gof_bootstrap(fit, n_sims = 50000, parallel = FALSE)
Arguments
fit
fitdistrplus object
n_sims
number of replications, defaults to 5e4 (50,000)
parallel
TRUE or FALSE option to run in parallel
Value
gof_result list with KS, AD, and CVM test statistic and p-value
jstagge/staggefuncs documentation built on May 20, 2019, 2:11 a.m.
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Description Usage Arguments Value
View source: R/gof_bootstrap.R
Description
Calculates a number of goodness of fit statatistics for a chosen univariate distribution. This function was created because published p-values for the Kolmogorov-Smirnov, Anderson-Darling and Cramer-von-Mises tests are not valid if the distribution is estimated from the data. This function uses bootstrapping to obtain the p-value based on the distribution and parameters.
Usage
1 | gof_bootstrap(fit, n_sims = 50000, parallel = FALSE)
|
Arguments
fit |
fitdistrplus object |
n_sims |
number of replications, defaults to 5e4 (50,000) |
parallel |
TRUE or FALSE option to run in parallel |
Value
gof_result list with KS, AD, and CVM test statistic and p-value
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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