ImNN
0.1.0Neural Networks for Predicting Volume of Forest Trees
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Overview
About
Neural network has potential in forestry modelling. This package is designed to create and assess Artificial Intelligence based Neural Networks with varying architectures for prediction of volume of forest trees using two input features: height and diameter at breast height, as they are the key factors in predicting volume, therefore development and validation of efficient volume prediction neural network model is necessary. This package has been developed using the algorithm of Tabassum et al. (2022) doi:10.18805/ag.D-5555.
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13OK
Slowest check: 1.4 min · r-devel-linux-x86_64-fedora-clang
Code health
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Tests · ratio 0.00
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100%
Documentation · exports
4
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Check history
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
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- Examples that run
- 0%
- Documented parameters
- 100%
- Return-value docs
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- References docs
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Dependencies
Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
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Code & Tests
People & History
People (11)
Maintainer (1)
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Authors (11)
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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
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Package metadata
- First published
- 2023-10-12
- Total releases
- 1 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Download size
- 4.9 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet