MARSANNhybrid
0.1.0MARS Based ANN Hybrid Model
0packages depend
2.1Kdownloads / year
–test coverage
13/13checks pass
Overview
About
Multivariate Adaptive Regression Spline (MARS) based Artificial Neural Network (ANN) hybrid model is combined Machine learning hybrid approach which selects important variables using MARS and then fits ANN on the extracted important variables.
Install
Health
CRAN checks
13OK
Slowest check: 46 s · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
3
Dependencies · direct
Check history
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 100%
Downloads
2.1K
CRAN downloads in the past year
Rank #20,067 · ~6/day · ~174/mo
Daily download trend is not available in this view yet.
16630 days
54890 days
2.1K1 year
Also on100 r2u20 autocran
Dependencies
Declared dependencies
2 external dependencies (excludes base and recommended)
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Nothing depends on this yet.
Code & Tests
People & History
People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
0 of 2 selectedCompare selected
Package metadata
- First published
- 2021-01-14
- Total releases
- 1 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.3.0
- Download size
- 2.3 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("MARSANNhybrid")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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