EM: Perform Expectation Maximization Algorithm on Gaussian...
In patrickrchao/AdaPTGMM: Adaptive P-Value Thresholding for Multiple Hypothesis Testing with Side Information using Gaussian Mixture Models
Description
Usage
Arguments
Value
Description
Will perform niter_fit iterations of the expectation maximization procedure.
This procedure estimates gammas, the probabilities for each class, then uses these to fit β.
With the updated beta, data, and parameters, we estimate the probability of a class and true p-value based on
the covariate and masked value.
Usage
1
Arguments
model
Model class with data, args, and initialize parameters
Value
Model class with updated parameters.
patrickrchao/AdaPTGMM documentation built on Oct. 22, 2021, 7:49 a.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
Description
Will perform niter_fit iterations of the expectation maximization procedure.
This procedure estimates gammas, the probabilities for each class, then uses these to fit β.
With the updated beta, data, and parameters, we estimate the probability of a class and true p-value based on
the covariate and masked value.
Usage
1 |
Arguments
model |
Model class with data, args, and initialize parameters |
Value
Model class with updated parameters.
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.