delay_model {incubate}

Fit a delayed Exponential or Weibull model to one or two given sample(s).

Description

Maximum product spacing is used to fit the parameters. Numerical optimization is done by stats::optim.

Usage

delay_model(
  x = stop("Specify observations!", call. = FALSE),
  y = NULL,
  distribution = c("exponential", "weibull"),
  method = c("MPSE", "MLE0"),
  bind = NULL,
  ties = c("density", "equidist", "random", "error"),
  optim_args = NULL,
  verbose = 0
)

Arguments

x

numeric. observations of 1st group. Can also be a list of data from two groups.

y

numeric. observations from 2nd group

distribution

character. Which delayed distribution is assumed? Exponential or Weibull.

method

character. Which method to fit the model? 'MPSE' = maximum product of spacings estimation or 'MLE0' = standard maximum likelihood estimation

bind

character. parameter names that are bind together in 2-group situation.

ties

character. How to handle ties.

optim_args

list. optimization arguments to use. Use NULL to use the data-dependent default values.

verbose

integer. level of verboseness. Default 0 is quiet.

Value

incubate_fit the delay-model fit object. Or NULL if optimization failed (e.g. too few observations).