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Type: Package
Title: Non-Linear Height Diameter Models for Forestry
Version: 0.1.0
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@gmail.com>
Description: 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>.
License: GPL-3
Encoding: UTF-8
Imports: stats, minpack.lm, Metrics, caret, tidyverse, nlme, ggpubr, ggplot2
RoxygenNote: 7.2.1
Depends: R (≥ 2.10)
NeedsCompilation: no
Packaged: 2023-09-21 14:42:50 UTC; YEASIN
Repository: CRAN
Date/Publication: 2023-09-21 18:50:02 UTC

Non-Linear Height Diameter Models for Forestry

Description

Non-Linear Height Diameter Models for Forestry

Usage

ImFoR(data, train_frac = 0.8)

Arguments

data

Datasets

train_frac

Train-Test fraction

Value

References

Examples

library("ImFoR")
data <- system.file("extdata", "data_test.csv", package = "ImFoR")
data_test <- read.csv(data)
Model<-ImFoR(data =data_test)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.