Model_Palaeodose: JAGS models use in 'Palaeodose_Computation'
In BayLum: Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating
Model_Palaeodose R Documentation
JAGS models use in Palaeodose_Computation
Description
A list of JAGS models use to a Bayesian analysis of OSL palaeodose of one or various samples. There are models for various growth curves and various distrubution to describe equivalent dose distribution around the palaeodose.
Usage
data("Model_Palaeodose")
Format
This list contains:
PalaeodosesMultiBF_EXPLINa list of 4 models that all consider a saturating exponential plus linear growth. These 4 models have different distribution to describe equivalent dose values around the palaeodose.
PalaeodosesMultiBF_EXPa list of 4 models that all consider a saturating exponential growth. These 4 models have different distribution to describe equivalent dose values around the palaeodose.
PalaeodosesMultiBF_EXPZOa list of 4 models that all consider a saturating exponential plus linear growth and fitting through the origin. These 4 models have different distribution to describe equivalent dose values around the palaeodose.
PalaeodosesMultiBF_EXPLINZOa list of 4 models that all consider a saturating exponential growth and fitting through the origin. These 4 models have different distribution to describe equivalent dose values around the palaeodose.
Details
The different distibutions to describe equivalent dose values around the palaeodose are:
cauchya Cauchy distribution with postition parameter equal to the palaeodose of the sample
gaussiana Gaussian distribution with mean equal to the palaeodose of the sample
lognormal_Aa log-normal distribution with mean or Average equal to the palaeodose of the sample
lognormal_Ma log-normal distribution with Median equal to the palaeodose of the sample
For more information we refer to the function Palaeodose_Computation, section Details.
References
Plummer, M. (2003). JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling.
In Proceedings of the 3rd international workshop on distributed statistical computing, volume 124, page 125.
Technische Universit at Wien, Austria.
Plummer, M. (2015). JAGS Version 4.0. 0 user manual.
See Also
rjags
Examples
data(Model_Palaeodose)
writeLines(Model_Palaeodose$PalaeodosesMultiBF_EXPLIN$gaussian)
BayLum documentation built on April 14, 2023, 12:24 a.m.
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| Model_Palaeodose | R Documentation |
JAGS models use in Palaeodose_Computation
Description
A list of JAGS models use to a Bayesian analysis of OSL palaeodose of one or various samples. There are models for various growth curves and various distrubution to describe equivalent dose distribution around the palaeodose.
Usage
data("Model_Palaeodose")Format
This list contains:
PalaeodosesMultiBF_EXPLINa list of 4 models that all consider a saturating exponential plus linear growth. These 4 models have different distribution to describe equivalent dose values around the palaeodose.
PalaeodosesMultiBF_EXPa list of 4 models that all consider a saturating exponential growth. These 4 models have different distribution to describe equivalent dose values around the palaeodose.
PalaeodosesMultiBF_EXPZOa list of 4 models that all consider a saturating exponential plus linear growth and fitting through the origin. These 4 models have different distribution to describe equivalent dose values around the palaeodose.
PalaeodosesMultiBF_EXPLINZOa list of 4 models that all consider a saturating exponential growth and fitting through the origin. These 4 models have different distribution to describe equivalent dose values around the palaeodose.
Details
The different distibutions to describe equivalent dose values around the palaeodose are:
cauchya Cauchy distribution with postition parameter equal to the palaeodose of the sample
gaussiana Gaussian distribution with mean equal to the palaeodose of the sample
lognormal_Aa log-normal distribution with mean or Average equal to the palaeodose of the sample
lognormal_Ma log-normal distribution with Median equal to the palaeodose of the sample
For more information we refer to the function Palaeodose_Computation, section Details.
References
Plummer, M. (2003). JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling. In Proceedings of the 3rd international workshop on distributed statistical computing, volume 124, page 125. Technische Universit at Wien, Austria.
Plummer, M. (2015). JAGS Version 4.0. 0 user manual.
See Also
rjags
Examples
data(Model_Palaeodose)
writeLines(Model_Palaeodose$PalaeodosesMultiBF_EXPLIN$gaussian)
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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