dweibull3

pweibull3

qweibull3

rweibull3

Density, distribution function, quantile function and random generation for
the three-parameter Weibull.

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>.

Narcisse Yehouenou

dendrometry

Forest Estimations and Dendrometric Computations

Information and Communication Technology for you ONG (ICT4U-ONG) 

dweibull3 function

<dl><dt>x, q</dt>
<dd>vector of quantiles.</dd>
<dt>shape, scale, loc</dt>
<dd>shape, scale and location parameters. The two latter
default to <code>1</code> and <code>0</code> respectively.</dd>
<dt>log, log.p</dt>
<dd>logical; if <code>TRUE</code>, probabilities <code>p</code> are given as
<code>log(p)</code>.</dd>
<dt>p</dt>
<dd>vector of probabilities.</dd>
<dt>n</dt>
<dd>number of observations. If <code>length(n) &gt; 1</code>, the length is
taken to be the number required.</dd>
<dt>lower.tail</dt>
<dd>logical; if TRUE (default), probabilities are
\(P[X \le x]\), otherwise, \(P[X &gt; x]\).</dd></dl>

Arguments

The three-parameter Weibull Distribution — dweibull3

<dl>

<dt>x, q</dt>
<dd>vector of quantiles.</dd>


<dt>shape, scale, loc</dt>
<dd>shape, scale and location parameters. The two latter
default to <code>1</code> and <code>0</code> respectively.</dd>


<dt>log, log.p</dt>
<dd>logical; if <code>TRUE</code>, probabilities <code>p</code> are given as
<code>log(p)</code>.</dd>


<dt>p</dt>
<dd>vector of probabilities.</dd>


<dt>n</dt>
<dd>number of observations. If <code>length(n) &gt; 1</code>, the length is
taken to be the number required.</dd>


<dt>lower.tail</dt>
<dd>logical; if TRUE (default), probabilities are
\(P[X \le x]\), otherwise, \(P[X &gt; x]\).</dd>

</dl>

dweibull3: The three-parameter Weibull Distribution

Description

Usage

Arguments

See Also