log_lik.stapreg | R Documentation |
For models fit using MCMC, the log_lik
method returns the
S by N pointwise log-likelihood matrix, where S is the size
of the posterior sample and N is the number of data points.
## S3 method for class 'stapreg' log_lik(object, newsubjdata = NULL, newdistdata = NULL, newtimedata = NULL, offset = NULL, ...)
object |
A fitted model object returned by one of the
rstap modeling functions. See |
newsubjdata |
Optionally, a data frame of the subject-specific data
in which to look for variables with which to predict.
If omitted, the original datasets are used. If |
newdistdata |
If newsubjdata is provided a data frame of the subject-distance must also be given for models with a spatial component - can be the same as original distance_dataframe |
newtimedata |
If newsubjdata is provided, a data frame of the subject-time data must also be given for models with a temporal component |
offset |
A vector of offsets. Only required if |
... |
Currently ignored. |
A S by N matrix, where S is the size of the posterior sample and N is the number of data points.
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