search for: mael

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2011 Sep 27
1
model selection using logistf package
Hi everyone, I'm wondering how to select the "best" model when using logistf? AIC does not work neither does anova. I tried fitting a glm model but got the separation warning message so I tried using the logistf package but as I stepwise simplify the model I don't know if the simplification is motivated or not... Can anyone explain to me how I should approach this problem? I
2002 Dec 19
1
linux bridging and htb.init / cbq.init
...accepts the rules but also no shaping occurs (tested with all queuing disciplines (LEAF=none|sfq|pfifo). Why it doesn''t work together with bridging ? Thanks, Maik -- VFS: Busy inodes after unmount. Self-destruct in 5 seconds. Have a nice day... GPG-Key: http://www.m-ellinger.de/output/mael.gpg Mitglied der Zwickau Linux User Group zLUG e.V. -> http://www.zlug.org _______________________________________________ LARTC mailing list / LARTC@mailman.ds9a.nl http://mailman.ds9a.nl/mailman/listinfo/lartc HOWTO: http://lartc.org/
2011 Sep 20
1
Add a function in rq
Hi, I am trying to add a function in a linear quantile regresion to find a breakpoint. The function I want to add is: y=(k+ax)(x<B)+(k+(a-d)B+dx)(x>B) How do I write it in the rq() function? Do I need to define the parameters in any way and how do I do that? I'm a biologist new to R. Thanks! -- View this message in context:
2012 Aug 23
1
All possible models with nls()
Hi all, I am trying to make a script that prints all possible models from a model I've created using nls(). It is a logisitc model which in total includes 13 variables. So its >8000 models I need to create, which I don't want to do manually. I've tried modify scripts made for linear models with no results. I've tried these scripts on a two variable model (c,a1 and a2 is what I
2012 Nov 30
0
what is the cost in cv.glm?
Hi, I have a question regarding the cv.glm function in the package boot. What is exactly the cost? Is it the threshold value for an estimated value to be classified as either 0 or 1? I have troubles understanding the explanation in R. Lets say I want all estimations >0.65 to be classified as 1s and <0.35 as 0s, how do I write that? And if the cost is something else, how do I set the