search for: supernodes

Displaying 18 results from an estimated 18 matches for "supernodes".

2010 Jun 04
1
Tinc crashes when node with identical configuration is present twice
Hello list, we have been running tinc to connect multiple nodes without problems for quite some time now. Thanks for this great piece of software! Our configuration is as follows: Two "supernodes" A and B running the tinc daemon are publicly reachable from the internet. Node A is running Linux and has a static public IP address. Node B is running Windows with port forwarding through a firewall with a DynDNS address. All our tinc nodes connect to both supernodes. We are running tinc...
2007 Apr 03
1
lmer, CHOLMOD warning: matrix not positive definite
Hi, I am getting a warning message when I am fitting a generalized linear mixed model (m1.2 below). CHOLMOD warning: matrix not positive definite Error in objective(.par, ...) : Cholmod error `matrix not positive definite' at file:../Supernodal/t_cholmod_super_numeric.c, line 614 Any idea? Thanks for your help, Reza > sessionInfo() R version 2.4.1 (2006-12-18) i386-pc-mingw32
2008 Feb 14
1
Cholmod error `matrix not positive definite'
Dear R-users, I'm new to R, so my apologies if this question doesn't make sense. I've tried the following model in lmer, and it works perfectly: model<-lmer(aphids~densroot+zone+(1|zone/site), family=quasipoisson) But if I try the exact same model with a different variable, totmas, the model looks as follows: model<-lmer(aphids~totmas+zone+(1|zone/site), family=quasipoisson)
2006 Jun 09
1
binomial lmer and fixed effects
Hi Folks, I think I have searched exhaustively, including, of course R-help (D. Bates, S. Graves, and others) and but I remain uncertain about testing fixed effects with lmer(..., family=binomial). I gather that mcmcsamp does not work with Do we rely exclusively on z values of model parameters, or could we use anova() with likelihood ratios, AIC and BIC, with (or without)
2018 Nov 22
0
Public key sharing between nodes
Hello tinc users, I have been trying to work out how key exchange/hosts file sharing in tinc 1.1 works. My topology is straightforward, a "super" always-online node A to which remote nodes B, C, ... (and so on) ConnectTo = A, to discover each other via AutoConnect (that's on by default in tinc 1.1pre17) Only super A has host files with Ed25519 keys for every node on the network.
2006 Jan 10
0
Representation of lmer objects will change soon
This is a "heads up" to those using the lmer function for fitting linear mixed models or generalized linear mixed models. In the next few days Martin and I will upload a new version of the Matrix package that employs a new representation of linear mixed models based on the supernodal Cholesky factorization provided by Tim Davis's CHOLMOD library of sparse matrix code. This
2007 Jan 23
0
New lmer: How to recode random effect ?
Dear all, I ran the following model without any problem previously to the update of lme4: fm2<-lmer(data=NGud,family=poisson, seed~hab*seedtray +(1|site)+(1|site:hab)) I have 25 sites, 2 habitats ("hab") per site, 8 seedtrays per habitat (4 as control, and 4 as treatment), and I'm interested in comparing the number of seed in seedtrays as a function of the treatment and its
2007 Mar 09
0
GLMM in lme4 and Tweedie dist.
Hi there, I've been wanting to fit a GLMM and I'm not completely sure I'm doing things right. As I said in a previous message my response variable is continuous with many zeros, so I was having a hard time finding an appropriate error distribution. I read some previous help mails given to other people advising them to use the Tweedie distribution. I'm still not sure if this
2006 Jan 10
0
Representation of lmer objects will change soon
This is a "heads up" to those using the lmer function for fitting linear mixed models or generalized linear mixed models. In the next few days Martin and I will upload a new version of the Matrix package that employs a new representation of linear mixed models based on the supernodal Cholesky factorization provided by Tim Davis's CHOLMOD library of sparse matrix code. This
2006 Mar 06
2
matrix pakcage
Hi! I get the following message trying to install the matrix pakcage, can anyone help me please? trying URL `http://cran.r-project.org/bin/windows/contrib/2.0/Matrix_0.95-5.zip' Error in download.file(url, destfile, method, mode = "wb") : cannot open URL `http://cran.r-project.org/bin/windows/contrib/2.0/Matrix_0.95-5.zip' In addition: Warning message: cannot open: HTTP
2004 Sep 12
1
is ipp2p working (kazaa)
i am using ipp2p module (v 0.6) from http://rnvs.informatik.uni-leipzig.de/ipp2p/index_en.html I have tried it on kazaa and e-donkey connections. Unfortunately, I am interesting in limiting kazaa traffic, which this modules seems not to work right with it. (Kazza traffic is not identified most of the cases....). Has anyone tried this kazza bandwidth control???
2006 Apr 20
1
lmer{lme4}, poisson family and residuals
Hello, I’m trying to fit the following model: Dependent variable: MAXDEPTH (the maximum depth reached by a penguin during a given dive) Fixed effects: SUCCESSMN (an index of the “individual quality” of a bird), STUDYDAY (the day of the study, from -5 to 20, with 0=Dec 20), and the interaction SUCCESSMN*STUDYDAY Random effect: BIRD (the bird id, as each bird is performing several dives)
2005 Dec 09
1
lmer for 3-way random anova
I have been using lme from nlme to do a 3-way anova with all the effects treated as random. I was wondering if someone could direct me to an example of how to do this using lmer from lme4. I have 3 main effects, tim, trt, ctr, and all the interaction effects tim*trt*ctr. The response variable is ge. Here is my lme code: dat <-
2005 Dec 26
4
lme X lmer results
Hi, this is not a new doubt, but is a doubt that I cant find a good response. Look this output: > m.lme <- lme(Yvar~Xvar,random=~1|Plot1/Plot2/Plot3) > anova(m.lme) numDF denDF F-value p-value (Intercept) 1 860 210.2457 <.0001 Xvar 1 2 1.2352 0.3821 > summary(m.lme) Linear mixed-effects model fit by REML Data: NULL AIC BIC
2007 Jan 26
0
R crash with modified lmer code
Hi all, I've now got a problem with some modified lmer code (function lmer1 pasted at end) - I've made only three changes to the lmer code (marked), and I'm not really looking for comments on this function, but would like to know why execution of the following commands that use it almost invariably (but not quite predictably) leads to the R session terminating. Here's the command
2009 Dec 08
3
botched RAID, now e2fsck or what?
Hi all, Somehow I managed to mess with a RAID array containing an ext3 partition. Parenthesis, if it matters: I disconnected physically a drive while the array was online. Next thing, I lost the right order of the drives in the array. While trying to re-create it, I overwrote the raid superblocks. Luckily, the array was RAID5 degraded, so whenever I re-created it, it didn't go into sync;
2006 Jan 10
2
lmer(): nested and non-nested factors in logistic regression
Thanks to some help by Doug Bates (and the updated version of the Matrix package), I've refined my question about fitting nested and non-nested factors in lmer(). I can get it to work in linear regression but it crashes in logistic regression. Here's my example: # set up the predictors n.age <- 4 n.edu <- 4 n.rep <- 100 n.state <- 50 n <- n.age*n.edu*n.rep age.id
2006 Jan 06
1
lmer p-vales are sometimes too small
This concerns whether p-values from lmer can be trusted. From simulations, it seems that lmer can produce very small, and probably spurious, p-values. I realize that lmer is not yet a finished product. Is it likely that the problem will be fixed in a future release of the lme4 package? Using simulated data for a quite standard mixed-model anova (a balanced two-way design; see code for the