JAGS models used to estimate true OSL ages based on data obtained from the Bayesian OSL analysis performed
by the function Palaeodose_Computation.
Note that unconstrained, uniform_order, Nicholls&Jones are model base on the likelihood \(M_i \sim \mathcal{N}(A_i, \sigma_i^2)\) which is different from the
OSL model.
Format
oldBaylum : BayLum's Old Age Model (wrong vector law)
constrained_Jeffrey : Jeffrey's Age Model with log-uniform order settings
StrcitNicholls&Jones : Nicholls&Jones' Age Model applied on ages directly
unconstrained_jeffrey : unconstrained Age Model (no stratigraphic constraints)
unconstrained : Age uniformly distributed over the period of study
uniform_order : Age uniformly ordered over the period of study
Nicholls&Jones : Nicholls&Jones prior applied directly to Ages. The duration \(A_n-A_1 \sim \mathcal{U}(0, T_2-T1)\)
Details
These models take as input the estimated dose response (D) from Palaeodose_Computation
along with the structured data matrix computed by create_MeasuresDataFrame.
The models are designed to refine age estimation by integrating these measurements into a Bayesian framework.