similar to: R-beta: repeated measures

I have just put the postscript file for the first draft of a manuscript of a course on The Statistical Analysis of Stochastic Processes in Time, as well as the R code to do all of the examples, on my web page at www.luc.ac.be/~jlindsey/manuscripts.html The chapters are Part I Basic principles 1. What is a stochastic process? 2. Normal theory models and extensions. Part II Categorical state

I have just put the postscript file for the first draft of a manuscript of a course on The Statistical Analysis of Stochastic Processes in Time, as well as the R code to do all of the examples, on my web page at www.luc.ac.be/~jlindsey/manuscripts.html The chapters are Part I Basic principles 1. What is a stochastic process? 2. Normal theory models and extensions. Part II Categorical state

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I have a data set in which I have 5000 repeated measures on 6 subjects over time (varying intervals, but measurements for all individuals are at the same times). There are two states, a "resting" state (the majority of the time), and a perturbed state. I have a continuous measurement at each time point for each of the individuals. I would like to determine the "state"

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