piBeam: Compute prediction intervals for state dependent Poisson...
In szugat/predfat: What the package does (short line)

Compute prediction intervals for state dependent Poisson process for beam experiments

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piBeam(stresses, deltat, truss, start, toPred, link, gradient, type,
  method = c("depth", "chisquared", "LR", "naive"), plot = FALSE, xlim,
  alpha = 0.05, addTrue = TRUE, ...)

`stresses`	list of values of the influental variable for indepedent fatigue experiments.
`deltat`	list of waiting times for indepedent fatigue experiments
`truss`	index of list entry in stresses and deltat for which the prediction should be made
`start`	starting value for the optimization, length four
`toPred`	integer value indicating the number of events to be predicted
`link`	[`function(theta, x)`] link function for exponential distribution
`gradient`	[`function(x, theta, ...)`] gradient of link function
`type`	[`integer`] if link function is not given a collection of given link function is available, see `linkfun`
`method`	one of "depth" (default), "chisquared". Method for generating confidence set of parameter theta
`plot`	logical value indicating whether the prediction intervals should be plotted or not