chrono_Gauss: Bayesian Chronologies of Gaussian Dates
In ArchaeoStat/ArchaeoChron: Bayesian Modeling of Archaeological Chronologies

chrono_Gauss

R Documentation

Bayesian Chronologies of Gaussian Dates

Description

Bayesian Chronologies of Gaussian Dates

Usage

chrono_Gauss(
  M,
  s,
  studyPeriodMin,
  studyPeriodMax,
  refYear = NULL,
  numberChains = 2,
  numberAdapt = 10000,
  numberUpdate = 10000,
  variable.names = c("theta"),
  numberSample = 50000,
  thin = 10
)

Arguments

`M`	A ['numeric'] vector of measurements.
`s`	A ['numeric'] vector of errors.
`studyPeriodMin`	A length-one ['numeric'] vector specifying the start time of the study period.
`studyPeriodMax`	A length-one ['numeric'] vector specifying the end time of the study period.
`refYear`	A ['numeric'] vector specifying the reference year. If 'NULL' (the default), AD years are expected.
`numberChains`	An ['integer'] giving the number of of parallel chains for the model (see [jags.model()]).
`numberAdapt`	An ['integer'] giving the number of iterations for adaptation (see [jags.model()]).
`numberUpdate`	An ['integer'] giving the number of iterations to update the model by.
`variable.names`	A ['character'] vector giving the names of variables to be monitored (see [coda.samples()]).
`numberSample`	An ['integer'] giving the number of iterations to monitor (see [coda.samples()]).
`thin`	An ['integer'] giving the thinning interval for monitors (see [coda.samples()]).