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Predict censored fitdists
# S3 method for fitdistscens predict( object, percent = 1:99, ci = FALSE, level = 0.95, nboot = 1000, parallel = NULL, ncpus = 1, average = TRUE, ic = "aic", ... )
The object.
A numeric vector of percentages.
A flag specifying whether to estimate confidence intervals (by parametric bootstrapping).
A number between 0 and 1 of the confidence level.
A count of the number of bootstrap samples to use to estimate the se and confidence limits.
A string specifying the type of parallel operation to be used ('no', 'snow' or 'multicore').
A count of the number of parallel processes to use.
A flag specifying whether to model average the estimates.
A string specifying which information-theoretic criterion ('aic', 'aicc' or 'bic') to use for model averaging .
Unused.
# NOT RUN { predict(fluazinam_dists) # }
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