Package: Sstack 1.0.1
Sstack: Bootstrap Stacking of Random Forest Models for Heterogeneous Data
Generates and predicts a set of linearly stacked Random Forest models using bootstrap sampling. Individual datasets may be heterogeneous (not all samples have full sets of features). Contains support for parallelization but the user should register their cores before running. This is an extension of the method found in Matlock (2018) <doi:10.1186/s12859-018-2060-2>.
Authors:
Sstack_1.0.1.tar.gz
Sstack_1.0.1.zip(r-4.5)Sstack_1.0.1.zip(r-4.4)Sstack_1.0.1.zip(r-4.3)
Sstack_1.0.1.tgz(r-4.4-any)Sstack_1.0.1.tgz(r-4.3-any)
Sstack_1.0.1.tar.gz(r-4.5-noble)Sstack_1.0.1.tar.gz(r-4.4-noble)
Sstack_1.0.1.tgz(r-4.4-emscripten)Sstack_1.0.1.tgz(r-4.3-emscripten)
Sstack.pdf |Sstack.html✨
Sstack/json (API)
| # Install 'Sstack' in R: |
| install.packages('Sstack', repos = c('https://klmatlock.r-universe.dev', 'https://cloud.r-project.org')) |
- StackData - Sample Stack Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:898c6526a1. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
Exports:BSHorizontalStackBSstackBSstack_predictBSVerticalStack
Dependencies:clicodetoolsdoParalleldplyrfansiforeachgenericsglueiteratorslifecyclemagrittrpillarpkgconfigR6randomForestrlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Horizontal stacking Random Forest models. | BSHorizontalStack |
| Bootstrap Stacking model builder. | BSstack |
| Predict using a set of Stacked Random Forest models. | BSstack_predict |
| Vertical stacking Random Forest models. | BSVerticalStack |
| Sample Stack Data | StackData |
