Other packages > Find by keyword >

ImVol  

Volume Prediction of Trees Using Linear and Nonlinear Allometric Equations
View on CRAN: Click here


Download and install ImVol package within the R console
Install from CRAN:
install.packages("ImVol")

Install from Github:
library("remotes")
install_github("cran/ImVol")

Install by package version:
library("remotes")
install_version("ImVol", "0.1.0")



Attach the package and use:
library("ImVol")
Maintained by
M. Iqbal Jeelani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-04
Latest Update: 2023-12-04
Description:
Volume prediction is one of challenging task in forestry research. This package is a comprehensive toolset designed for the fitting and validation of various linear and nonlinear allometric equations (Linear, Log-Linear, Inverse, Quadratic, Cubic, Compound, Power and Exponential) used in the prediction of conifer tree volume. This package is particularly useful for forestry professionals, researchers, and resource managers engaged in assessing and estimating the volume of coniferous trees. This package has been developed using the algorithm of Sharma et al. (2017) .
How to cite:
M. Iqbal Jeelani (2023). ImVol: Volume Prediction of Trees Using Linear and Nonlinear Allometric Equations. R package version 0.1.0, https://cran.r-project.org/web/packages/ImVol. Accessed 14 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited ImVol R package
View ImVol citation profile
Other R packages that ImVol depends, imports, suggests or enhances
Complete documentation for ImVol
Functions, R codes and Examples using the ImVol R package
Full ImVol package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

rpymat  
Easy to Configure an Isolated 'Python' Environment
Aims to create a single isolated 'Miniconda' and 'Python' environment for reproducible pipeline scr ...
Download / Learn more Package Citations See dependency  
fourPNO  
Bayesian 4 Parameter Item Response Model
Estimate Barton & Lord's (1981) four parameter IRT model w ...
Download / Learn more Package Citations See dependency  
manipulate  
Interactive Plots for RStudio
Interactive plotting functions for use within RStudio.The manipulate function accepts a plot ...
Download / Learn more Package Citations See dependency  
MGBT  
Multiple Grubbs-Beck Low-Outlier Test
Compute the multiple Grubbs-Beck low-outlier test on positively distributed data and utilities for ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
ProcMod  
Informative Procrustean Matrix Correlation
Estimates corrected Procrustean correlation between matrices for removing overfitting effect. Coissa ...
Download / Learn more Package Citations See dependency  

27,457

R Packages

233,548

Dependencies

73,054

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA