dot-ModelSpaceProbs: Calculates prior probababilities for x, and >=x causal...
In pjnewcombe/R2BGLiMS: R interface to the java package BGLiMS (Bayesian Generalised Linear Model Selection).
Description
Usage
Arguments
Value
Author(s)
Description
Calculates prior probababilities for x, and >=x causal variables, when a truncated Poisson prior is used for model space
Usage
1
.ModelSpaceProbs(V, mu)
Arguments
V
total number of variables
mu
model space mean
Value
prior matrix whereby 1st row is prior probabilities for =x causal variables, and 2nd row for >=x variables (x = 1,...V)
Author(s)
Paul Newcombe
pjnewcombe/R2BGLiMS documentation built on Feb. 10, 2020, 8:52 p.m.
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.
Description Usage Arguments Value Author(s)
Description
Calculates prior probababilities for x, and >=x causal variables, when a truncated Poisson prior is used for model space
Usage
1 | .ModelSpaceProbs(V, mu)
|
Arguments
V |
total number of variables |
mu |
model space mean |
Value
prior matrix whereby 1st row is prior probabilities for =x causal variables, and 2nd row for >=x variables (x = 1,...V)
Author(s)
Paul Newcombe
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.