fitggro: Fit Gompertz model for growth curves

In TJMurphy/nlfitr: Fitting models to nonlinear data

Description

Fit the Gompertz growth model to date: 'y = ylo + d*exp(-exp(((k*exp(1))/d)*(lambda-x)+1))'

Usage

fitggro(x, y, data, k, ylo, d, lambda, weigh)

Arguments

x	A vector of linear values, usually time.
y	A vector of measured values in response to x.
data	A dataframe with x and y.
k	The estimate for maximal growth rate.
ylo	The estimate for the lowest value of y.
d	The estimate for the difference between the lowest and highest values of y.
lambda	The estimate for the growth lag, in units of the x scale.
weigh	When TRUE, weighted regression by 1/y^2. Default is FALSE.

Value

nls

Examples

# L.plantarium growth at 35C.

fitggro(x=hour, y=lnN_N0, data=plantdat,
k=1, ylo=0, d=8, lambda=3, weigh=FALSE)

TJMurphy/nlfitr documentation built on March 18, 2021, 12:33 p.m.