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sirt (version 3.12-66)

prior_model_parse: Parsing a Prior Model

Description

Parses a string specifying a prior model which is needed for the prior argument in LAM::amh

Usage

prior_model_parse(prior_model)

Value

List with specified prior distributions for parameters as needed for the prior argument in LAM::amh

Arguments

prior_model

String specifying the prior conforming to R syntax.

See Also

LAM::amh

Examples

Run this code
#############################################################################
# EXAMPLE 1: Toy example prior distributions
#############################################################################

#*** define prior model as a string
prior_model <- "
  # prior distributions means
  mu1 ~ dnorm( NA, mean=0, sd=1 )
  mu2 ~ dnorm(NA)       # mean T2 and T3
  # prior distribution standard deviation
  sig1 ~ dunif(NA,0, max=10)
      "

#*** convert priors into a list
res <- sirt::prior_model_parse( prior_model )
str(res)
  ##  List of 3
  ##   $ mu1 :List of 2
  ##    ..$ : chr "dnorm"
  ##    ..$ :List of 3
  ##    .. ..$ NA  : num NA
  ##    .. ..$ mean: num 0
  ##    .. ..$ sd  : num 1
  ##   $ mu2 :List of 2
  ##    ..$ : chr "dnorm"
  ##    ..$ :List of 1
  ##    .. ..$ : num NA
  ##   $ sig1:List of 2
  ##    ..$ : chr "dunif"
  ##    ..$ :List of 3
  ##    .. ..$ NA : num NA
  ##    .. ..$ NA : num 0
  ##    .. ..$ max: num 10

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