MCMC.trajectory: Trajectory MCMC for movingknots
In feng-li/movingknots: Efficient Bayesian multivariate surface regression
Description
Usage
Arguments
Value
Author(s)
View source: R/algorithms__MCMC.trajectory.R
Description
Details are available in the paper.
Usage
1
MCMC.trajectory(iIter, nIter, iCross, OUT.accept.probs, interval = 0.1)
Arguments
iIter
NA
nIter
NA
iCross
NA
OUT.accept.probs
NA
interval
e.g. 0.1
Value
NA
Author(s)
Feng Li, Department of Statistics, Stockholm University, Sweden.
feng-li/movingknots documentation built on March 30, 2021, 11:58 a.m.
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Description Usage Arguments Value Author(s)
View source: R/algorithms__MCMC.trajectory.R
Description
Details are available in the paper.
Usage
1 | MCMC.trajectory(iIter, nIter, iCross, OUT.accept.probs, interval = 0.1)
|
Arguments
iIter |
NA |
nIter |
NA |
iCross |
NA |
OUT.accept.probs |
NA |
interval |
e.g. 0.1 |
Value
NA
Author(s)
Feng Li, Department of Statistics, Stockholm University, Sweden.
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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