computeEmpiricalPriorParameters: Compute the empirical mean.
In beast: Bayesian Estimation of Change-Points in the Slope of Multivariate Time-Series
Description
Usage
Arguments
Value
Author(s)
View source: R/fullMCMC_complexityPrior.R
Description
This function computes the empirical mean of the time-series.
Usage
1
computeEmpiricalPriorParameters(myDataList, nu0 = 1, alpha0 = 1, beta0 = 1)
Arguments
myDataList
Observed multivariate time-series.
nu0
positive real number.
alpha0
positive real number.
beta0
positive real number.
Value
mu0
Empirical mean
Author(s)
Panagiotis Papastamoulis
beast documentation built on May 2, 2019, 1:19 p.m.
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Description Usage Arguments Value Author(s)
View source: R/fullMCMC_complexityPrior.R
Description
This function computes the empirical mean of the time-series.
Usage
1 | computeEmpiricalPriorParameters(myDataList, nu0 = 1, alpha0 = 1, beta0 = 1)
|
Arguments
myDataList |
Observed multivariate time-series. |
nu0 |
positive real number. |
alpha0 |
positive real number. |
beta0 |
positive real number. |
Value
mu0 |
Empirical mean |
Author(s)
Panagiotis Papastamoulis
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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