mpmm.plotphi: Plot model parameters.
In mpmm: Marginal Product Mixture Model for Relational Event Data
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
This function is useful for exploring the parameter estimates from the model.
Usage
1
mpmm.plotphi(fit)
Arguments
fit
Output from running mpmm.cgs().
Value
a plot faceted by each dimension (e.g. sender, receiver) showing MAP
estimates for the probability of each individual being chosen for a given latent class.
Author(s)
Christopher DuBois (<email: duboisc@ics.uci.edu>)
References
Christopher DuBois and Padhraic Smyth. Modeling Relational Events via
Latent Classes. Proceedings of the 16th ACM SIGKDD, 2010.
Examples
1
## See demo(synthetic).
mpmm documentation built on May 2, 2019, 4:55 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) References Examples
Description
This function is useful for exploring the parameter estimates from the model.
Usage
1 | mpmm.plotphi(fit)
|
Arguments
fit |
Output from running mpmm.cgs(). |
Value
a plot faceted by each dimension (e.g. sender, receiver) showing MAP estimates for the probability of each individual being chosen for a given latent class.
Author(s)
Christopher DuBois (<email: duboisc@ics.uci.edu>)
References
Christopher DuBois and Padhraic Smyth. Modeling Relational Events via Latent Classes. Proceedings of the 16th ACM SIGKDD, 2010.
Examples
1 | ## See demo(synthetic).
|
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.