groupm.mleprobplot: Title
In Auburngrads/SMRD: Statistical Methods For Reliability Data

Title

groupm.mleprobplot(
  data.ld,
  distribution,
  formula = NULL,
  group.var = 1:ncol(xmat(data.ld)),
  xlab = get.time.units(data.ld),
  ylab = GetSMRDDefault("SMRD.LabelOnYaxis"),
  conf.level = GetSMRDDefault("SMRD.ConfLevel")/100,
  xlim = c(NA, NA),
  ylim = c(NA, NA),
  relationship = NULL,
  power = NULL,
  dump = 0,
  mle.intervals = F,
  cex = 1,
  grids = F,
  slope.axis = F,
  linear.axes = F,
  lty = NULL,
  plot.censored.ticks = F,
  time.range = c(NA, NA),
  shape = NULL,
  ci.list = NULL,
  col.ci = 4,
  printem = F,
  trunc.correct = T,
  include.interaction = F,
  new.data = NULL,
  plotem = T,
  do.legend = "On plot",
  stresses.limit = 18,
  number.points = 55,
  plotted = rep(T, length(stresses.plus)),
  from.six.plot = F,
  debug1 = F,
  theta.start = NULL,
  parameter.fixed = NULL,
  compute.subsets = T,
  check.level = SMRDOptions("SMRD.DataCheck"),
  title.line.adj,
  lwd = 2,
  mar = c(4.5, 5.25, 3.5, 12.1),
  bty = if (grids) "o" else "L",
  ...
)

`data.ld`
`distribution`
`formula`
`group.var`
`xlab`
`ylab`
`conf.level`
`xlim`
`ylim`
`relationship`
`power`
`dump`
`mle.intervals`
`cex`
`grids`
`slope.axis`
`linear.axes`
`lty`
`plot.censored.ticks`
`time.range`
`shape`
`ci.list`
`col.ci`
`printem`
`trunc.correct`
`include.interaction`
`new.data`
`plotem`
`do.legend`
`stresses.limit`
`number.points`
`plotted`
`from.six.plot`
`debug1`
`theta.start`
`parameter.fixed`
`compute.subsets`
`check.level`
`title.line.adj`
`...`

## Not run: 

ICDevice2.ld <- frame.to.ld(icdevice2, 
                            response.column = c(1,2),
                            censor.column = 3,
                            case.weight.column = 4,
                            x.column = 5,  
                            data.title = "New Technology Device ALT", 
                            xlabel = "Degrees C", 
                            time.units = "Hours")

groupi.mleprobplot(ICDevice2.ld, 
                   distribution = "Lognormal")

ICDevice02.groupm.lognor <- groupm.mleprobplot(ICDevice2.ld, 
                                               distribution = "Lognormal", 
                                               relationship = "Arrhenius", 
                                               ci.list = 6)

## End(Not run)