Hello, I'm trying to adjust a non linear model in which the biological response variable (ratio of germinated fungus spores) is dependent on 2 covariates (temperature and time). The response to temperature is modeled by a kind of beta function with 2 parameters (optimal and maximum temperatures) and the time function is a 2-parameter Weibull. Adjustments with nls or gnls work, but I need to do mixed-effects modeling.
It seems like nlme or nlmer need self starting functions, but so far I can't find a way to code a selfstart function with 2 "x" covariates. Is it just impossible? Is there another way? Thanks -- View this message in context: http://r.789695.n4.nabble.com/Custom-nonlinear-self-starting-function-w-2-covariates-tp2286099p2286099.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
