grad_lpd_func: The function to calculate the gradients of the log full...
In yanbowisc/SIMP: Bayesian Simultaneous Partial Envelope Model
grad_lpd_func R Documentation
The function to calculate the gradients of the log full conditional posterior density of A or B.
Description
The function to calculate the gradients of the log full conditional posterior density of A or B.
Usage
grad_lpd_func(A, j, lpd_func, ...)
Arguments
A
Parameter A or B
j
The index for which column of A or B to be updated.
lpd_func
The log full conditional posterior density of A or B.
...
Other parameters that may be useful.
yanbowisc/SIMP documentation built on Oct. 30, 2022, 1:33 a.m.
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| grad_lpd_func | R Documentation |
The function to calculate the gradients of the log full conditional posterior density of A or B.
Description
The function to calculate the gradients of the log full conditional posterior density of A or B.
Usage
grad_lpd_func(A, j, lpd_func, ...)
Arguments
A |
Parameter A or B |
j |
The index for which column of A or B to be updated. |
lpd_func |
The log full conditional posterior density of A or B. |
... |
Other parameters that may be useful. |
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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