R-beta: repeated measures

Jim Lindsey (jlindsey@luc.ac.be)
Wed, 25 Feb 1998 10:42:00 +0100 (MET)

From: Jim Lindsey <jlindsey@luc.ac.be>
Message-Id: <9802250942.AA25698@alpha.luc.ac.be>
Subject: R-beta: repeated measures
To: r-help@stat.math.ethz.ch (r-help)
Date: Wed, 25 Feb 1998 10:42:00 +0100 (MET)

> >>>>> "Jim" == Jim Lindsey <jlindsey@luc.ac.be> writes:
>     Jim> R itself has nothing for repeated measures. However, I am developing a
>     Jim> complete set of four libraries that will handle most any repeated
>     Jim> measures problem, normally distributed or other. This includes two
>     Jim> functions in one of the libraries that will do the so-called anova
>     Jim> approach plus ARMA. They will do everything in my Repeated
>     Jim> Measurements book (OUP 1993) and much more.
>     Jim> I am waiting until R stabilizes a bit before releasing them but will
>     Jim> soon be asking for volunteers to aid in preliminary testing.
>     Jim> Jim
>     >> Hi,
>     >> 
>     >> is there a way to use a repeated measure anova approach in R?
>     >> I can't believe there isn't, but I couldn't figure out how.
>     >> 
>     >> Please Help
>     >> 
> Wow!
> Jim, this really  *IS* good news!
> Just a moment ago, I had a phone call from an applied person here in CH who
> uses R (for windoze, at his home), and asked how to do ANOVA problems with R.  
> He was also badly missing S-plus's  aov(.) function...
> and I explained how he could  use   anova( lm(...) ) for FIXED effects
> anova, and that nothing is yet available for random (or mixed) effects.
> Martin.
Just a warning. These things are not as simple as aov. It should still
be implemented! Mine are general enough to do any nonlinear model for
both mean and variance (e.g.PKPD), generalized linear mixed models,
multivariate survival with any censoring pattern, completely
unbalanced data, etc. Hence, with this level of generality, the
interface is not always that simple: lists of time-varying covariates etc.

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