Predict fitdists
Predict fitdists
## S3 method for class 'fitdists' predict( object, percent = 1:99, ci = FALSE, level = 0.95, nboot = 1000, parallel = NULL, ncpus = 1, average = TRUE, ic = "aicc", ... )
object |
The object. |
percent |
A numeric vector of percentages. |
ci |
A flag specifying whether to estimate confidence intervals (by parametric bootstrapping). |
level |
A number between 0 and 1 of the confidence level. |
nboot |
A count of the number of bootstrap samples to use to estimate the se and confidence limits. |
parallel |
A string specifying the type of parallel operation to be used ('no', 'snow' or 'multicore'). |
ncpus |
A count of the number of parallel processes to use. |
average |
A flag specifying whether to model average the estimates. |
ic |
A string specifying which information-theoretic criterion ('aic', 'aicc' or 'bic') to use for model averaging . |
... |
Unused. |
predict(boron_dists)
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