Multiplicative Activation
Overview
Provides methods and classes for adding m-activation ("multiplicative activation") layers to MLR or multivariate logistic regression models. M-activation layers created in this library detect and add input interaction (polynomial) effects into a predictive model. M-activation can detect high-order interactions -- a traditionally non-trivial challenge. Details concerning application, methodology, and relevant survey literature can be found in this library's vignette, "About."
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Dave Zes <zesdave@gmail.com>’
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Authors@R: person(given = "Dave",
family = "Zes",
role = c("aut", "cre"),
email = "zesdave@gmail.com")
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 12includes a package overview page
- Examples that run
- 42%5 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran) · 5 hold no code
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 100%
Downloads
Dependencies
Installing mactivate adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.6.6Latest
- RR 4.1.0 released · 2021-05-18
- 0.6.52021-03-04 · diff ↗
- 0.6.42021-01-08
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-01-08
- Total releases
- 3 / 5 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 118 KB / 1 file
- Download size
- 862 KB
Cite
Cite this package
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