joint_log_density: The log joint full conditional density of the j-th column of...
In yanbowisc/SIMP: Bayesian Simultaneous Partial Envelope Model
joint_log_density R Documentation
The log joint full conditional density of the j-th column of A (or B) and its momentum vector.
Description
The log joint full conditional density of the j-th column of A (or B) and its momentum vector.
Usage
joint_log_density(A, aa, lpd_func, M_diag, ...)
Arguments
A
Parameter A or B.
aa
Momentum vector of the j-th column of A (or B).
lpd_func
The log full conditional posterior density of A or B.
M_diag
Covariance matrix for our matrix parameter 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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| joint_log_density | R Documentation |
The log joint full conditional density of the j-th column of A (or B) and its momentum vector.
Description
The log joint full conditional density of the j-th column of A (or B) and its momentum vector.
Usage
joint_log_density(A, aa, lpd_func, M_diag, ...)
Arguments
A |
Parameter A or B. |
aa |
Momentum vector of the j-th column of A (or B). |
lpd_func |
The log full conditional posterior density of A or B. |
M_diag |
Covariance matrix for our matrix parameter 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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