initialise_data: Set up a DMC Sample for a Participant
In TasCL/ggdmc: Dynamic Model of Choice with Parallel Computation, and C++ Capabilities
Description
This is C++ function to initialse a DMC sample. The user usually should
not directly use it.
Usage
1
2
Arguments
nmc
number of Markov Chain Monte Carlo iteration
pList
prior distribution setting. This is R's p.prior
data
a model data instance created by data.model.dmc
samples
a DMC posterior sample/object
theta1
A user supplied initial theta cube
startPList
A user supplied (different) prior distribution setting.
This is R's start.prior.
setting
a list container to store all DMC setting
TasCL/ggdmc documentation built on May 9, 2019, 4:19 p.m.
R Package Documentation
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Description
This is C++ function to initialse a DMC sample. The user usually should not directly use it.
Usage
1 2 |
Arguments
nmc |
number of Markov Chain Monte Carlo iteration |
pList |
prior distribution setting. This is R's p.prior |
data |
a model data instance created by |
samples |
a DMC posterior sample/object |
theta1 |
A user supplied initial theta cube |
startPList |
A user supplied (different) prior distribution setting. This is R's start.prior. |
setting |
a list container to store all DMC setting |
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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