Package: FusionLearn 0.2.1
FusionLearn: Fusion Learning
The fusion learning method uses a model selection algorithm to learn from multiple data sets across different experimental platforms through group penalization. The responses of interest may include a mix of discrete and continuous variables. The responses may share the same set of predictors, however, the models and parameters differ across different platforms. Integrating information from different data sets can enhance the power of model selection. Package is based on Xin Gao, Raymond J. Carroll (2017) <arxiv:1610.00667v1>.
Authors:
FusionLearn_0.2.1.tar.gz
FusionLearn_0.2.1.zip(r-4.5)FusionLearn_0.2.1.zip(r-4.4)FusionLearn_0.2.1.zip(r-4.3)
FusionLearn_0.2.1.tgz(r-4.4-any)FusionLearn_0.2.1.tgz(r-4.3-any)
FusionLearn_0.2.1.tar.gz(r-4.5-noble)FusionLearn_0.2.1.tar.gz(r-4.4-noble)
FusionLearn_0.2.1.tgz(r-4.4-emscripten)FusionLearn_0.2.1.tgz(r-4.3-emscripten)
FusionLearn.pdf |FusionLearn.html✨
FusionLearn/json (API)
| # Install 'FusionLearn' in R: |
| install.packages('FusionLearn', repos = c('https://hermitz9.r-universe.dev', 'https://cloud.r-project.org')) |
- mockgene1 - Mock Gene Data
- mockgene2 - Mock Gene Data
- stockindexDJI - Finance Data
- stockindexGSPC - Finance Data
- stockindexVIX - Finance Data
- validDJI - Finance Data
- validGSPC - Finance Data
- validVIX - Finance Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:0eb081d000. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:fusionbasefusionbase.fitfusionbinaryfusionbinary.fitfusionmixedfusionmixed.fit
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fusion Learning | FusionLearn |
| Fusion learning method for continuous responses | fusionbase fusionbase.fit |
| Fusion learning algorithm for binary responses | fusionbinary fusionbinary.fit |
| Fusion learning algorithm for mixed data | fusionmixed fusionmixed.fit |
| Mock Gene Data | mockgene1 mockgene2 |
| Finance Data | stockindexDJI stockindexGSPC stockindexVIX validDJI validGSPC validVIX |
