log_lik: Pointwise log-likelihood matrix
In smoothbp: Hierarchical Piecewise Regression with Smoothed Change-Points
log_lik R Documentation
Pointwise log-likelihood matrix
Description
Pointwise log-likelihood matrix
Usage
log_lik(object, ...)
## S3 method for class 'smoothbp_fit'
log_lik(object, ...)
Arguments
object
A smoothbp_fit object.
...
Unused.
Value
A matrix of pointwise log-likelihood values of dimension S x N,
where S is the number of posterior draws and N is the number
of observations.
smoothbp documentation built on June 14, 2026, 9:06 a.m.
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| log_lik | R Documentation |
Pointwise log-likelihood matrix
Description
Pointwise log-likelihood matrix
Usage
log_lik(object, ...)
## S3 method for class 'smoothbp_fit'
log_lik(object, ...)
Arguments
object |
A |
... |
Unused. |
Value
A matrix of pointwise log-likelihood values of dimension S x N,
where S is the number of posterior draws and N is the number
of observations.
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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