lpY: Network log-likelihood
In adonizetti/BLSM: Bayesian Latent Space Model
Description
Usage
Arguments
Value
Description
Compute the log-likelihood of the whole observed network based on the
latent positions estimates and the model assumptions. See BLSM for more information.
Usage
1
lpY(Y, lpz, alpha, W)
Arguments
Y
Adjacency matrix of the observed network
lpz
Matrix containing the negative square root of the Euclidean distances between latent positions
(output of lpz_dist)
alpha
Model variable α
W
BLSM Weights matrix of the observed network
Value
Log-likelihood of the observed network
adonizetti/BLSM documentation built on May 25, 2019, 2:24 p.m.
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Description Usage Arguments Value
Description
Compute the log-likelihood of the whole observed network based on the latent positions estimates and the model assumptions. See BLSM for more information.
Usage
1 | lpY(Y, lpz, alpha, W)
|
Arguments
Y |
Adjacency matrix of the observed network |
lpz |
Matrix containing the negative square root of the Euclidean distances between latent positions (output of lpz_dist) |
alpha |
Model variable α |
W |
BLSM Weights matrix of the observed network |
Value
Log-likelihood of the observed network
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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