gmlest: Generalized maximum likelihood

In Auburngrads/SMRD: Statistical Methods For Reliability Data

Description

Generalized maximum likelihood

Usage

gmlest(
  data.ld,
  distribution,
  theta.start = NULL,
  explan.vars = NULL,
  mu.relat = NULL,
  sigma.relat = NULL,
  prob.relat = NULL,
  gamthr = 0,
  escale = 10000,
  e = rep(1e-04, nparm),
  parameter.fixed = rep(F, nparm),
  intercept = T,
  model = 0,
  kprint = 0,
  conlev = 0.95,
  maxit = 500,
  debug1 = F
)

Arguments

data.ld
distribution
theta.start
explan.vars
mu.relat
sigma.relat
prob.relat
gamthr
escale
e
parameter.fixed
intercept
model
kprint
conlev
maxit
debug1

Value

A big thing

Examples

## Not run: 

 ConnectionStrength.ld <- 
 frame.to.ld(connectionstrength,
              response.column = 1,
              failure.mode.column = 2,
              case.weight.column = 3)

 mfm.to.ld(ConnectionStrength.ld)
 
 gmlest(ConnectionStrength.Bond.ld,
        distribution = "normal")

## End(Not run)

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