Output of AgeS_Computation function for the samples: "GDB5" and "GDB3"

Output of AgeS_Computation function for the samples: "GDB5" and "GDB3", there is no stratigraphic relation neither systematic errors.

Usage

data("AgeS")

Format

A list containing

Sampling: MCMC.list that corresponds to a sample of the posterior distributions of the ages (in ka), palaeodoses (in Gy) and equivalent dose dispersions (in Gy) parameters of samples "GDB5" and "GDB3";
Model_GrowthCurve: stating which dose response fitting option was chosen to run the function
Distribution: stating which distribution was chosen to model the dispersion of individual equivalent dose values around the palaeodose of the sample;
PriorAge: stating the priors used for the age parameter (in ka);
StratiConstraints: stating the matrix of stratigraphic relations between samples considered in the model;
CovarianceMatrix: stating the covariance matrix of error used in the model, highlighting not common errors between samples in our cases (diagonal matrix).

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(AgeS)
str(AgeS)
#> List of 6
#>  $ Sampling         :List of 3
#>   ..$ : 'mcmc' num [1:2000, 1:6] 6.39 6.17 8.38 7.91 7.47 ...
#>   .. ..- attr(*, "dimnames")=List of 2
#>   .. .. ..$ : NULL
#>   .. .. ..$ : chr [1:6] "A[1]" "A[2]" "D[1]" "D[2]" ...
#>   .. ..- attr(*, "mcpar")= num [1:3] 20005 30000 5
#>   ..$ : 'mcmc' num [1:2000, 1:6] 6.54 6.84 6.81 6.53 6.84 ...
#>   .. ..- attr(*, "dimnames")=List of 2
#>   .. .. ..$ : NULL
#>   .. .. ..$ : chr [1:6] "A[1]" "A[2]" "D[1]" "D[2]" ...
#>   .. ..- attr(*, "mcpar")= num [1:3] 20005 30000 5
#>   ..$ : 'mcmc' num [1:2000, 1:6] 7.31 8.47 6.95 7.37 6.26 ...
#>   .. ..- attr(*, "dimnames")=List of 2
#>   .. .. ..$ : NULL
#>   .. .. ..$ : chr [1:6] "A[1]" "A[2]" "D[1]" "D[2]" ...
#>   .. ..- attr(*, "mcpar")= num [1:3] 20005 30000 5
#>   ..- attr(*, "class")= chr "mcmc.list"
#>  $ Model_GrowthCurve: chr "AgesMultiCS2_EXPLIN"
#>  $ Distribution     : chr "cauchy"
#>  $ PriorAge         : num [1:4] 1 100 1 100
#>  $ StratiConstraints: num [1:3, 1:2] 1 0 0 1 0 0
#>  $ CovarianceMatrix : num [1:2, 1:2] 0.0566 0 0 0.062