predBeam: Compute prediction intervals for state dependent Poisson...

Description Usage Arguments

Description

Compute prediction intervals for state dependent Poisson process for beam experiments

Usage

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predBeam(stresses, deltat, truss, start, toPred, link, gradient, type,
  plot = FALSE, plotControl = list(stairs = TRUE, xlim = c(0, 0), legend =
  TRUE), withSolve = TRUE, alpha)

Arguments

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

link function for the negative (!) logarithmized mean of the exponential distribution

gradient

gradient of link function w.r.t. parameters

type

if link or gradient are not given, there is collection of implented link functions and gradients, see linkfun and gradLambda

plot

logical value indicating whether the prediction intervals should be plotted or not

plotControl

list with arguments for plot: stairs (logical, plot as step function), xlim, legend (logical, generate legend)

withSolve

logical value indicating whether the information matrix should be inverted with solve() (TRUE) or ginv() from MASS package (FALSE)


szugat/predfat documentation built on May 31, 2019, 12:50 a.m.