compute_model_values: Compute BIC and loglike value of gaussian models
In magrichard/facsticor: Treatment and analysis of FACS data during time course experiments
Description
Usage
Arguments
Value
Description
This function uses the Model-Based Clustering function Mclust to extract the optimal BIC value and the corresponding log-likelihood for a 1-gaussian model and a 2-gaussian model.
Usage
1
Arguments
data
The data table
Value
An data table with BIC and loglik for each model
magrichard/facsticor documentation built on May 17, 2019, 8:16 a.m.
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Description Usage Arguments Value
Description
This function uses the Model-Based Clustering function Mclust to extract the optimal BIC value and the corresponding log-likelihood for a 1-gaussian model and a 2-gaussian model.
Usage
1 |
Arguments
data |
The data table |
Value
An data table with BIC and loglik for each model
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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