altsim_r: Simulate Accelerated Life Test Data

In Auburngrads/SMRD: Statistical Methods For Reliability Data

Description

Simulates data from an accelerated life test

Usage

altsim(
  accel.var.mat,
  nsamsz,
  centim,
  theta,
  distribution,
  number.sim,
  kctype = 1,
  escale = 10000,
  e = rep(1e-04, number.parameters),
  parameter.fixed = rep(F, number.parameters),
  intercept = T,
  kprint = 0,
  maxit = 500,
  debug1 = F,
  randomize = T
)

Arguments

accel.var.mat
nsamsz
centim
theta
distribution
number.sim
kctype
escale
e
parameter.fixed
intercept
kprint
maxit
debug1
randomize

Value

List of plan values and simulated data

Examples

## Not run: 

test.matrix <- cbind(V1 = c(1,1,2,2),V2 = c(1,2,1,2))

altsim.out <- altsim(accel.var.mat = test.matrix, 
                     nsamsz = c(4,4,4,4), 
                     centim = c(40000,40000,40000,40000), 
                     theta = c(1,-24,5,1), 
                     distribution = "normal",
                     number.sim = 10, 
                     debug = F)

altsim.out <- altsim(accel.var.mat = as.matrix(c(1,2,3,4)), 
                     nsamsz = c(4,4,4,4), 
                     centim = c(200,200,200,200), 
                     theta = c(1,-2,3), 
                     distribution = "normal", 
                     number.sim = 5, 
                     debug = F, 
                     kprint = 0)

altsimReturnFrame(accel.var.mat = test.matrix, 
                  nsamsz = c(4,4,4,4),
                  centim = c(100,100,100,100),
                  theta = c(1,1,1,2),
                  distribution =" lognormal", 
                  relationship = c("linear","log"))

## Simulate a single ALT data set

altsimReturnFrame(accel.var.mat = test.matrix, 
                  nsamsz = c(4,4,4,4),
                  centim = c(100,100,100,100), 
                  theta = c(1,1,1,2), 
                  distribution = "lognormal", 
                  relationship = c("linear","log"))


## End(Not run)

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