ssdtools (version 0.3.7)

predict.fitdist: Predict

Description

Predict

Usage

# S3 method for fitdist
predict(
  object,
  percent = 1:99,
  ci = FALSE,
  level = 0.95,
  nboot = 1000,
  parallel = NULL,
  ncpus = 1,
  ...
)
# S3 method for fitdistcens
predict(
  object,
  percent = 1:99,
  ci = FALSE,
  level = 0.95,
  nboot = 1000,
  parallel = NULL,
  ncpus = 1,
  ...
)
# S3 method for fitdists
predict(
  object,
  percent = 1:99,
  ci = FALSE,
  level = 0.95,
  nboot = 1000,
  parallel = NULL,
  ncpus = 1,
  average = TRUE,
  ic = "aicc",
  ...
)
# S3 method for fitdistscens
predict(
  object,
  percent = 1:99,
  ci = FALSE,
  level = 0.95,
  nboot = 1000,
  parallel = NULL,
  ncpus = 1,
  average = TRUE,
  ic = "aic",
  ...
)

Arguments

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.

...

Unused.

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 .

See Also

stats::predict()

Examples

# NOT RUN {
predict(boron_lnorm, percent = c(5L, 50L))
predict(fluazinam_lnorm, percent = c(5L, 50L))
predict(boron_dists)
predict(fluazinam_dists)
# }