Buddle
A Deep Learning for Statistical Classification and Regression Analysis with Random Effects
Statistical classification and regression have been popular among various fields and stayed in the limelight of scientists of those fields. Examples of the fields include clinical trials where the statistical classification of patients is indispensable to predict the clinical courses of diseases. Considering the negative impact of diseases on performing daily tasks, correctly classifying patients based on the clinical information is vital in that we need to identify patients of the high-risk group to develop a severe state and arrange medical treatment for them at an opportune moment. Deep learning - a part of artificial intelligence - has gained much attention, and research on it burgeons during past decades: see, e.g, Kazemi and Mirroshandel (2018)
- Version2.0.1
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?Yes
- Last release02/13/2020
Team
Jiwoong Kim
Jiwoong Kim <jwboys26 at gmail.com>
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- Depends1 package
- Imports4 packages
- Linking To2 packages