polynomial: Polynomial curve function for nlme

In bdots: Bootstrapped Differences of Time Series

Polynomial curve function for nlme

Description

Polynomial function used in fitting nlme curve for observations

Usage

polynomial(dat, y, time, degree, raw = TRUE, params = NULL, ...)

Arguments

dat	subject data to be used
y	outcome variable
time	time variable
degree	degree of polynomial
raw	Boolean, use raw polynomials?
params	NULL unless user wants to specify starting parameters for gnls
...	just in case

Details

It's recommended that one uses raw polynomials for this function for numerical stability. As inference is not performed on the parameters themselves, this should have minimial consequences

y ~ mini + (peak - mini) / (1 + exp(4 * slope * (cross - (time)) / (peak - mini)))

bdots documentation built on Jan. 7, 2023, 1:18 a.m.