LogisticCurveFitting (version 0.1.0)

rhodes.curve: Logistic Curve Fitting by Rhodes Method

Description

This function fits the Logistic Curve in population Data by Rhodes Method along with estimates of the parameters and predicted value.

Usage

rhodes.curve(p)

Arguments

p

a numeric vector

Value

r.hat , L.hat , beta.hat : the estimated values of the parameters r, L and beta.

predicted.values : the predicted values of p

Details

Suppose we have n observations from population size corresponding to n equivalent time points say, at t=0,1,...,n-1. Here we assume the Logistic law of population growth , p=L/(1+exp(r*(beta-t))).

Examples

# NOT RUN {
 u=c(12,15,16,18,16,21,25,27,29,30,35,36)
 rhodes.curve(u)
# }