log_f_logprima: compute the derivative of the log of density of inactive...
In zhenkewu/rewind: Reconstructing Etiology with Binary Decomposition
Description
Usage
Arguments
Value
See Also
Description
This function is used in sampling a model with an infinite number of columns in H
Usage
1
log_f_logprima(log_p0, alpha, t)
Arguments
log_p0
log probability (the argument of this function)
alpha
hyperparameter for Indian Buffet Process (Infinite version)
t
the number of rows in the IBP
Value
a value corresponding to the derivative of the log density d/du f(log_p0)
See Also
log_f_logden provides an example
zhenkewu/rewind documentation built on Sept. 9, 2020, 3:40 p.m.
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Description Usage Arguments Value See Also
Description
This function is used in sampling a model with an infinite number of columns in H
Usage
1 | log_f_logprima(log_p0, alpha, t)
|
Arguments
log_p0 |
log probability (the argument of this function) |
alpha |
hyperparameter for Indian Buffet Process (Infinite version) |
t |
the number of rows in the IBP |
Value
a value corresponding to the derivative of the log density d/du f(log_p0)
See Also
log_f_logden provides an example
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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