hello everyone, i'm trying to simulate a 2-parameter integrated ornstein-uhlenbeck (IOU) process, but i'm not sure exactly where to start (which package, which function). the motivation is the paper by taylor et. al. (JASA 1994) "a stochastic model for the analysis of longitudinal aids data." the model they suggest consists of a combination of fixed and random effects, a stochastic process, and measurement error.
the 2-parameter IOU process they suggest has cov[W(s), W(t)] = (sigma^2/(2alpha^3)[2alpha min(s,t)+exp(-alpha* t) +exp(-alpha* s)-1 -exp(alpha*|t-s|)). any insight into either fitting the model or simulating a 2-parameter IOU process would be appreciated. thanks, farzad ____________________________________________________________________________________ Be a better sports nut! Let your teams follow you [[alternative HTML version deleted]] ______________________________________________ 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.