expogral.fx: Function that computes the result of the Stage allometric...
In biometrics: A Package for Biometrics and Modelling

expogral.fx

R Documentation

Function that computes the result of the Stage allometric model.

Description

Function of the generalized-exponential allometric model, based upon four parameters (i.e., coefficients) and a variable, as defined by the mathematical expression

y_i= \mathrm{e}^{\left(\alpha +\frac{\beta}{x_i^{\gamma}+\delta} \right)},

where: y_i and x_i are the response and predictor variable, respectively, for the i-th observation; and the rest are parameters (i.e., coefficients). Further details on this function can be found in Salas-Eljatib (2025).

Usage

expogral.fx(x, alpha, beta, gamma, delta, upsilon = 0)

Arguments

`x`	is the predictor variable.
`alpha`	is the coefficient-parameter `\alpha`.
`beta`	is the coefficient-parameter `\beta`.
`gamma`	is the coefficient-parameter `\gamma`.
`delta`	is the coefficient-parameter `\delta`.
`upsilon`	is an optional constant term that force the prediction of y when x=0. Thus, the new model becomes `y_i = \Upsilon+ f(x_i,\mathbf{\theta})`, where `\mathbf{\theta}` is the vector of coefficients of the above described function represented by `f(\cdot)`. The default value for `\Upsilon` is 0.

Value

Returns the response variable based upon the predictor variable and the coefficients.

Author(s)

Christian Salas-Eljatib.

References

Salas-Eljatib C. 2025. Funciones alométricas: reparametrizaciones y características matemáticas. Documento de trabajo No. 1, Serie: Cuadernos de biometría, Laboratorio de Biometría y Modelación Forestal, Universidad de Chile. Santiago, Chile. 51 p. https://biometriaforestal.uchile.cl

Examples

# Predictor variable values to be used
time<-seq(5,60,by=0.01)
# Using the function
y<-expogral.fx(x=time,alpha=3,beta=8,gamma=1,delta=1)
plot(time,y,type="l",col="blue")

biometrics documentation built on March 20, 2026, 5:09 p.m.