parametric.bootstrap: Title

In Auburngrads/SMRD: Statistical Methods For Reliability Data

Description

Title

Usage

parametric.bootstrap(
  data.ld,
  distribution,
  number.sim,
  escale = 10000,
  e = rep(1e-04, number.parameters),
  parameter.fixed = rep(F, number.parameters),
  intercept = T,
  kprint = 0,
  maxit = 500,
  max.sim.scratch.space = 1000,
  debug1 = F,
  randomize = T
)

Arguments

data.ld
distribution
number.sim
escale
e
parameter.fixed
intercept
kprint
maxit
max.sim.scratch.space
debug1
randomize

Examples

## Not run: 

ShockAbsorber.ld <- frame.to.ld(shockabsorber,
                                response.column = 1,
                                censor.column = 3,
                                time.units = "Kilometers")

ShockAbsorber.boot.p <- parametric.bootstrap(ShockAbsorber.ld,
                                             distribution = "Weibull",
                                             number.sim = 2000)

plot(ShockAbsorber.boot.p)
plot(ShockAbsorber.boot.p, 
     simulate.parameters = TRUE, 
     parameter.sims = 500)

summary(ShockAbsorber.boot.p,
        inference.on = "parameter", 
        which = 1)

summary(ShockAbsorber.boot.p,
        inference.on = "parameter", 
        which = 2,
        do.compare = T)

summary(ShockAbsorber.boot.p,
        inference.on = "parameter", 
        which = 2)

summary(ShockAbsorber.boot.p,
        inference.on = "quantile",
        which = 0.1)

summary(ShockAbsorber.boot.p,
        inference.on = "probability", 
        which = 1000)


## End(Not run)

Auburngrads/SMRD documentation built on Sept. 14, 2020, 2:21 a.m.