ImFoR: Non-Linear Height Diameter Models for Forestry

Tree height is an important dendrometric variable and forms the basis of vertical structure of a forest stand. This package will help to fit and validate various non-linear height diameter models for assessing the underlying relationship that exists between tree height and diameter at breast height in case of conifer trees. This package has been implemented on Naslund, Curtis, Michailoff, Meyer, Power, Michaelis-Menten and Wykoff non linear models using algorithm of Huang et al. (1992) <doi:10.1139/x92-172> and Zeide et al. (1993) <doi:10.1093/forestscience/39.3.594>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: stats, minpack.lm, Metrics, caret, tidyverse, nlme, ggpubr, ggplot2
Published: 2023-09-21
Author: M. Iqbal Jeelani [aut, cre], Fehim Jeelani [aut], Shakeel Ahmad Mir [aut], Syed Naseem Geelani [aut], Mushtaq Ahmad Lone [aut], Asif Ali [aut], Afshan Tabassum [aut], Khalid Ul Islam [aut], Imran Rashid [aut], Md Yeasin [aut]
Maintainer: M. Iqbal Jeelani <jeelani.miqbal at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: ImFoR results

Documentation:

Reference manual: ImFoR.pdf

Downloads:

Package source: ImFoR_0.1.0.tar.gz
Windows binaries: r-devel: ImFoR_0.1.0.zip, r-release: ImFoR_0.1.0.zip, r-oldrel: ImFoR_0.1.0.zip
macOS binaries: r-release (arm64): ImFoR_0.1.0.tgz, r-oldrel (arm64): ImFoR_0.1.0.tgz, r-release (x86_64): ImFoR_0.1.0.tgz, r-oldrel (x86_64): ImFoR_0.1.0.tgz

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