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ImNN

0.1.0

Neural Networks for Predicting Volume of Forest Trees

0packages depend
2Kdownloads / year
test coverage
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Overview

About
Maintained by M. Iqbal JeelaniFirst published 2023-10-121 releasesCRAN page ↗

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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Health

CRAN checks
13OK
Slowest check: 1.4 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • OK2026-03-10
    14 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
100%
References docs
100%

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Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
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Code & Tests

People & History

People (11)
Maintainer (1)
Author, Maintainer
Authors (11)
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

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
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