MCMCsample: MCMC sample from the posterior distribution of the dataset...

In BayLum: Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating

MCMC sample from the posterior distribution of the dataset GDB5

Description

MCMC samples from the posterior distribution of "A" for age, "D" for palaeodose and "sD" for dispersion of equivalent doses around "D", of the data set GDB5.

Usage

data("MCMCsample")

Format

It is a matric with 6000 row and tree column.

A

The first column of the matrice are sampled from the posterior distribution of the paramete A

D

The first column of the matrice are sampled from the posterior distribution of the paramete D

sD

The first column of the matrice are sampled from the posterior distribution of the paramete sD

References

Tribolo, C., Asrat, A., Bahain, J. J., Chapon, C., Douville, E., Fragnol, C., Hernandez, M., Hovers, E., Leplongeon, A., Martin, L, Pleurdeau, D, Pearson, O , Puaud, S, Assefa, Z. (2017). Across the Gap: Geochronological and Sedimentological Analyses from the Late Pleistocene-Holocene Sequence of Goda Buticha, Southeastern Ethiopia. PloS one, 12(1), e0169418.

Examples

data(MCMCsample)
## maybe str(MCMCsample) ; plot(MCMCsample[,1],type="l") ...

BayLum documentation built on June 22, 2024, 10:18 a.m.