graph_trend: Graph parameter fit and log likelihood
In kuriwaki/clusterCVR: A Clustering Algorithm for Cast Vote Records
View source: R/visualize_diagnosis.R
graph_trend R Documentation
Graph parameter fit and log likelihood
Description
EM algorithms should exhibit a monotonically increasing
log likelihood. This function plots the log likelihood
across iterations, as well as the change maximum change
in the parameter values.
Usage
graph_trend(params_stacked, dat = data)
Arguments
params_stacked
Output from summ_params
dat
The input data for the original clusterCVR object
kuriwaki/clusterCVR documentation built on July 31, 2024, 8:28 p.m.
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View source: R/visualize_diagnosis.R
| graph_trend | R Documentation |
Graph parameter fit and log likelihood
Description
EM algorithms should exhibit a monotonically increasing log likelihood. This function plots the log likelihood across iterations, as well as the change maximum change in the parameter values.
Usage
graph_trend(params_stacked, dat = data)
Arguments
params_stacked |
Output from summ_params |
dat |
The input data for the original clusterCVR object |
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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