This workshop will cover the basics of fitting non-linear models. Topics covered include choosing an appropriate non-linear function, choosing appropriate starting values, evaluation model assumptions, evaluating model fits, and prediction. We will also cover ways to compare non-linear fits by group ( i.e. by includingcovariates in a model), as well as touch on covering non-linear modeling of repeated-measures data.
This is a lecture-style workshop, but examples will be illustrated using the nlme package in R. This workshop assumes familiary with general linear models (regression and anova).