GRASymDoubleLogis: the GRASymDoubleLogis set 'GRASymDoubleLogis' - A family of...

In MarcoDVisser/FDPtools: Optimized tools for working with forest dynamics plot data

Description

the GRASymDoubleLogis set

GRASymDoubleLogis - A family of double symmetric logistic functions for gradient modelling. These models are usually used to predict frequency, a probabily or fractions over x (distance, time, concentration). The 4 parameter model is limited to the range [beta4,beta3]. The set includes an inverse and differential, which give the inverse estimate (x at a given y) or dy/dx rates over x.

Usage

GRASymDoubleLogis(x, beta0, beta1, beta3, betas = NULL)

GRAiSymDoubleLogis(M, M0, r)

GRAdSymDoubleLogis(M, r)

Arguments

x	the gradient (size, time, concentration)
beta0	intercept
beta1	rate of increase
beta3	second intercept
betas	vector to input all parameters in one go
y	prediction, used in the inverse form

Author(s)

Marco D. Visser

Marco D. Visser

Marco D. Visser

MarcoDVisser/FDPtools documentation built on May 7, 2019, 2:49 p.m.