chronoEvents_Gauss: Bayesian Chronologies of Gaussian Dates Using the Event Model

In ArchaeoStat/ArchaeoChron: Bayesian Modeling of Archaeological Chronologies

Bayesian Chronologies of Gaussian Dates Using the Event Model

Description

Bayesian Chronologies of Gaussian Dates Using the Event Model

Usage

chronoEvents_Gauss(
  M,
  s,
  measurementsPerEvent,
  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.
measurementsPerEvent	A ['numeric'] vector of giving the number of measurements per event.
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()]).

Value

An ['mcmc.list'][coda::mcmc.list()] object.

Author(s)

A. Philippe, M.-A. Vibet

ArchaeoStat/ArchaeoChron documentation built on Jan. 26, 2024, 11:16 a.m.