View source: R/combination_Gauss.R
combination_Gauss | R Documentation |
Combine Gaussian Dates
combination_Gauss(
M,
s,
studyPeriodMin,
studyPeriodMax,
refYear = NULL,
numberChains = 2,
numberAdapt = 10000,
numberUpdate = 10000,
variable.names = c("theta"),
numberSample = 50000,
thin = 10
)
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()]). |
An ['mcmc.list'][coda::mcmc.list()] object.
A. Philippe, M.-A. Vibet
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