specify.simple.prior: Title
In Auburngrads/SMRD: Statistical Methods For Reliability Data

Title

specify.simple.prior(
  p,
  qdist,
  qlower,
  qupper,
  sigma.dist,
  sigma.lower,
  sigma.upper,
  distribution
)

`p`
`qdist`
`qlower`
`qupper`
`sigma.dist`
`sigma.lower`
`sigma.upper`
`distribution`

## Not run: 
# Specify prior distribution characteristics for the 
# \code{bearingcage} data using a non-informative quantile 
# and a noninformative sigma

prior.spec1 <-
  specify.simple.prior(p = .01,
                       qdist = "loguniform",
                       qlower = 100,
                       qupper = 5000,
                       sigma.dist =  "lognormal",
                       sigma.lower = 0.2,
                       sigma.upper =  0.5,
                       distribution = "Weibull")
                       
# Specify prior distribution characteristics for the 
# \code{bearingcage} data using a noninformative quantile 
# and an informative sigma

prior.spec2 <-
  specify.simple.prior(p = .01,
                       qdist = "loguniform",
                       qlower = 1000,
                       qupper = 1400,
                       sigma.dist = "lognormal",
                       sigma.lower = 1.5,
                       sigma.upper = 2.5, 
                       distribution  = "Weibull")
                       
# Specify prior distribution characteristics for the 
# \code{bearingcage} data using an informative quantile 
# and an informative sigma

prior.spec3 <-
  specify.simple.prior(p = .01,
                       qdist = "lognormal",
                       qlower = 1000,
                       qupper = 1400,
                       sigma.dist = "lognormal",
                       sigma.lower = 1.5,
                       sigma.upper = 2.5,
                       distribution  = "Weibull")
 
# Create the prior distributions                      
prior3.bcage <- 
  make.prior(spec = prior.spec3, 
             number.in.prior = 3000)


prior.and.post3.bcage <-
  get.big.posterior(prior.spec3,
                    BearingCage.ld)

prior.and.post3.bcage$post[1:10,] 

prior.and.post3.bcage <- 
  make.small.posterior.object(prior.and.post3.bcage)
  
summarize.posterior.or.prior(prior.and.post3.bcage,
                             post.or.prior = "post",
                             task = "Marginals only",
                             marginal.on.sigma = T,
                             marginal.on.pos = F,
                             type.position = "Parameter",
                             newdata = "mu",
                             include.likelihood = T)

## End(Not run)