indi_like: Create likelihoods for a particular observation/intervention...
In neilbramley/acl_source: Functions for active causal learning
Description
Usage
Arguments
Examples
Description
An alternative to precomputing likelihood of all possible data patterns for when the problem is too large
Usage
1
indi_like(graph, int, dat, sa, po, combination_function = "noisy_or")
Arguments
graph
the true graph
int
the intervention performed
dat
the outcome observed
sa
spontaneous activation rate
po
power of causal links
combination_function
the way in which multiple active causes interact, defaults to noisy_or, currently no other option
Examples
1
neilbramley/acl_source documentation built on May 29, 2019, 6:53 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 Examples
Description
An alternative to precomputing likelihood of all possible data patterns for when the problem is too large
Usage
1 | indi_like(graph, int, dat, sa, po, combination_function = "noisy_or")
|
Arguments
graph |
the true graph |
int |
the intervention performed |
dat |
the outcome observed |
sa |
spontaneous activation rate |
po |
power of causal links |
combination_function |
the way in which multiple active causes interact, defaults to noisy_or, currently no other option |
Examples
1 |
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.