genSamp: Generate sample from posterior distribution of (Gaussian) BN
In rje42/DAGtools: Tools for fitting and analysing DAGs via MCMC
genSamp R Documentation
Generate sample from posterior distribution of (Gaussian) BN
Description
Generate sample from posterior distribution of (Gaussian) BN
Usage
genSamp(A, xbar, S, n, alpha, T0)
Arguments
A
adjacency matrix for graph
xbar
sample mean of data
S
sample variance of data (not normalized by n)
n
number of samples
alpha
prior parameter, default to dimension of data
T0
prior precision, defaults to identity matrix
rje42/DAGtools documentation built on June 6, 2024, 3:13 a.m.
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| genSamp | R Documentation |
Generate sample from posterior distribution of (Gaussian) BN
Description
Generate sample from posterior distribution of (Gaussian) BN
Usage
genSamp(A, xbar, S, n, alpha, T0)
Arguments
A |
adjacency matrix for graph |
xbar |
sample mean of data |
S |
sample variance of data (not normalized by |
n |
number of samples |
alpha |
prior parameter, default to dimension of data |
T0 |
prior precision, defaults to identity matrix |
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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