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Total 5 documents matching your query.

1. Re: mixed effects convergence (score: 1)
Author: Renaud Lancelot <lancelot@sentoo.sn>
Date: Sun, 01 Jun 2003 18:36:00 +0000
Y_it = a + (b_1 + b_i1) X_it + (c_1 + c_i1) Z_it + e_it where each i is a different experiment, which I would like to pool. I write the splus equation as lme( Y ~ X + Z, data=pooled, random=~ X + Z |
/archives/html/s-news/2003-06/msg00003.html (9,306 bytes)

2. Re: Data manipulation (score: 1)
Author: Renaud Lancelot <lancelot@sentoo.sn>
Date: Thu, 20 Jun 2002 08:43:54 +0000
Here is an example of what you can do, adapted from function cass.ind found inside function mca in package MASS: cass.ind <- function(cl) { n <- length(cl) cl <- as.factor(cl) x <- matrix(0, n, lengt
/archives/html/s-news/2002-06/msg00195.html (10,424 bytes)

3. Re: Summary: running all models with 3 or less variables (score: 1)
Author: Renaud Lancelot <lancelot@sentoo.sn>
Date: Thu, 02 May 2002 08:48:29 +0000
I do apologize if I misquote Insightful in my reply to Niels Leuthold. I'd be interested in testing the new Resampling library. Best regards, Renaud -- Dr Renaud Lancelot, vétérinaire CIRAD, Départ
/archives/html/s-news/2002-05/msg00018.html (10,283 bytes)

4. B-splines and predictions with gls (score: 1)
Author: Renaud Lancelot <lancelot@sentoo.sn>
Date: Tue, 18 Dec 2001 09:15:03 +0000
Dear all, I have fitted a gls model where the response is a B-spline function of a continuous variable (age), and variance is modelled with an exponential correlation structure and a power function o
/archives/html/s-news/2001-12/msg00149.html (10,470 bytes)

5. Summary: B-splines and predictions with gls (score: 1)
Author: Renaud Lancelot <lancelot@sentoo.sn>
Date: Fri, 21 Dec 2001 12:34:54 +0000
Dear all, A few days ago I posted a question on B-splines and predictions with gls (original question below). I got useful replies from Javier Seoane who pointed out that the prediction problem was r
/archives/html/s-news/2001-12/msg00175.html (23,936 bytes)

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