dendrometry0.0.4 package

Forest Estimations and Dendrometric Computations

AIC.fit_dist

Extract AIC

angle2slope

Angle - Slope conversion and Principal Measure determination

barkFactor

Bark factor The bark factor (k) is computed for trees in order to asse...

basal_i

Individual Basal Area and DBH (diameter)

basal

The basal area of plots

basalContribution

Basal area contribution

baseFunction

Recursive function for creating nested data structures

BIC.fit_dist

Extract BIC

blackman

Index of Blackman

ci_bands_bootstrap

Compute Confidence Bands Using Parametric Bootstrap

ci_bands_delta

Compute Confidence Bands Using Delta Method

coef.fit_dist

Extract Model Coefficients

confint.fit_dist

Confidence Intervals for Parameters

create_objective

Create Objective Function for MPS or MLE

dbh

Diameter (DBH) and Circumference

decrease

The decrease coefficient

decreaseMetric

Metric scrolling or decay

deg

Degree and Radian

dendrometry-package

dendrometry: Forest Estimations and Dendrometric Computations

densityRegen

Density of regeneration (efficient version)

densityTree

Tree density

diameterMean

Mean diameter

distanceH

Horizontal distance

dweibull3

The three-parameter Weibull Distribution

factorize

Making factor vectors

fibonacci

Fibonacci series

fiboRate

Fibonacci series ratio

fit_dist

Unified Parameter Estimation for Probability Distributions

fit_lmoments

L-Moments Estimation

fit_moments

Method of Moments Estimation

fit_optimization

Unified Optimization-based Estimation (MPS and MLE)

fit_weibull_plot

Fit and Plot Three-Parameter Weibull Distribution with Confidence Band...

format_ci_inline

Format Confidence Interval for Inline Display

format_ci

Format Confidence Interval for Display

get_cdf

Get CDF for Standard and Custom Distributions

get_default_bounds

Get Default Parameter Bounds

get_param_names

Get Parameter Names for Standard Distributions

get_pdf

Get PDF for Standard and Custom Distributions

get_start_values

Get Starting Values for Parameter Estimation

girard

Girard Form Class Girard Form Class is a form quotient used to estimat...

green

Index of Green

height

Height of Tree or any vertical Object

logLik.fit_dist

Extract Log-Likelihood

loreyHeight

Lorey's mean height

makedata

Create nested data subsets

nestedFunBuilder

Create nested data structures with optional function application

optimize_params

Optimization Wrapper

param

Structural parameters for stands

print.angle

Print Angle

print.fit_dist

Print Method for Fitted Distributions

print.slope

Print Slope

reducecoef

The reduction coefficient

rfreq

Relative Frequency

sampleSize

Sample size

shape

The shape coefficient

skewness

Skewness coefficient

spNmReduce

Abbreviates a Botanical or Zoological Latin Name into an Eight-charact...

stacking

Stack all vectors of a data frame or list

summary.fit_dist

Summary Method for Fitted Distributions

vcov.fit_dist

Extract Variance-Covariance Matrix

volume

Tree stem and log Volume

Computation of dendrometric and structural parameters from forest inventory data. The objective is to provide a user-friendly R package for researchers, ecologists, foresters, statisticians, loggers and other persons who deal with forest inventory data. The package includes advanced distribution fitting capabilities with multiple estimation methods (Maximum Likelihood, Maximum Product Spacing with ties correction methods following Cheng & Amin (1983), and Method of Moments) for probability distributions commonly used in forestry. Visualization tools with confidence bands using delta method and parametric bootstrap are provided for three-parameter Weibull distribution fitting to diameter data. Useful conversion of angle value from degree to radian, conversion from angle to slope (in percentage) and their reciprocals as well as principal angle determination are also included. Position and dispersion parameters usually found in forest studies are implemented. The package contains Fibonacci series, its extensions and the Golden Number computation. Useful references are Arcadius Y. J. Akossou, Soufianou Arzouma, Eloi Y. Attakpa, Noël H. Fonton and Kouami Kokou (2013) <doi:10.3390/d5010099>, W. Bonou, R. Glele Kakaï, A.E. Assogbadjo, H.N. Fonton, B. Sinsin (2009) <doi:10.1016/j.foreco.2009.05.032>, R. C. H. Cheng and N. A. K. Amin (1983) <doi:10.1111/j.2517-6161.1983.tb01268.x>, and R. C. H. Cheng and M. A. Stephens (1989) <doi:10.1093/biomet/76.2.385>.

  • Maintainer: Narcisse Yehouenou
  • License: GPL-3
  • Last published: 2025-10-08