similar to: GAMM : how to use a smoother for some levels of a variable, and a linear effect for other levels?

On Tue, 11 Aug 2015, Alexander Dalloz wrote: > Am 11.08.2015 um 21:47 schrieb Dr J Austin: >>> >>> What does cyrus-imapd log? >>> >>> Alexander >>> >>> >> >> Where should I be looking ? > > /var/log/maillog is the default log file for the MAIL facility. Else check > your syslog() daemon configuration. > >

On Tue, 11 Aug 2015, Alexander Dalloz wrote: > Am 11.08.2015 um 22:28 schrieb Dr J Austin: >> >> Hi Alexander >> >> [root at maui:/var/log]$ watch 'tail -n40 maillog >> >> does not quiver when I try to connect > > That's suspicious. > > Let's exclude it is the client which causes the problem: Connect directly to > the IMAPS

Am 12.08.2015 um 20:29 schrieb Dr J Austin: > > > On Wed, 12 Aug 2015, Alexander Dalloz wrote: > > >>> I have been working at trying to get cyrus to listen on 148.197.29.5 >>> interface instead of the localhost - I have failed >>> > >> No square brackets around the ip address. > > imap cmd="imapd" listen="imap"

> Date: Wednesday, August 12, 2015 11:14:29 +0100 > From: Dr J Austin <ja at maui.jaa.org.uk> > > > On Tue, 11 Aug 2015, Dr J Austin wrote: > >> >> >> On Tue, 11 Aug 2015, Alexander Dalloz wrote: >> >>> Am 11.08.2015 um 22:28 schrieb Dr J Austin: >>>> >>>> Hi Alexander >>>> >>>> [root

------------ Original Message ------------ > Date: Wednesday, August 12, 2015 14:16:03 +0100 > From: Dr J Austin <ja at maui.jaa.org.uk> > > On Wed, 12 Aug 2015, Richard wrote: > >> >> I don't think that wireshark adds much to this. Unless you had a >> proxy in the middle, the "connection refused" responses already >> indicated that

Hi all, I would like to fit a gamm model of the form: Y~X+X*f(z) Where f is the smooth function and With random effects on X and on the intercept. So, I try to write it like this: gam.lme<- gamm(Y~ s(z, by=X) +X, random=list(groups=pdDiag(~1+X)) ) but I get the error message : Error in MEestimate(lmeSt, grps) : Singularity in backsolve at level 0, block 1

Am 12.08.2015 um 15:16 schrieb Dr J Austin: > Hi Richard > > I have been working at trying to get cyrus to listen on 148.197.29.5 > interface instead of the localhost - I have failed > > Whenever I add things to /etc/cyrus.conf such as > imaps cmd="imapd -s" listen="[148.197.29.5]:imaps" prefork=1 No square brackets around the ip address. >

Dear R-users, To obtain the percentage of deviance explained when fitting a gam model using the mgcv library is straightforward: summary(object.gam) $dev.expl or alternatively, using the deviance (deviance(object.gam)) of the null and the fitted models, and then using 1 minus the quotient of deviances. However, when a gamm (generalizad aditive mixed model) is fitted, the

Hi all R users ! I'm using gamm function from Simon Wood's mgcv package, to fit a spatial regression Generalized Additive Mixed Model, as covariates I have the geographical longitude and latitude locations of indexed data. I include a random effect for each district (dist) so the code is fit <- gamm(y~s(lon,lat,bs="tp", m=2)+offset(log(exp.)), random=list(dist=~1),

On Tue, 11 Aug 2015, Alexander Dalloz wrote: > Am 11.08.2015 um 17:56 schrieb Dr J Austin: >> Hi >> >> I have been using evolution/cyrus/exim for 10 years - until yesterday! >> >> I upgraded to C6.7 and now there is no way I can find of connecting >> from evo to the cyrus imap(s) server >> >> [root at maui:~]$ ps -ef|grep imap >> cyrus

Hello:I run a gamm with following call :mode<-gamm(A~B,random=list(ID=~1),family=gaussian,na.action=na.omit,data=rs)an error happened:ERROR names(object$sp) <- names(G$sp) : attempt to set an attribute on NULLwith mgcv version 1.7-3What so? How can I correct the Error? Thanks very much for any help. [[alternative HTML version deleted]]

My data set consist of number of calls (lcin) across Day. I am looking for activity differences between three features (4 sites per feature). I am also looking for peaks of activity across time (Day). I am using a gamm since I believe these are nonlinear trends with nested data. gammdata<-gamm(lcin~Temp+s(Day)+fType+wind+fFeature+Forest+Water+Built, list=fSite,data=data, family=gaussian)

Hi I am an engineer and am running the package mgcv and specifically the command gamm (generalized additive mixed modelling), with random effects. i have a few queries: 1. When I run the command with 1000/2000 observations, it runs ok. However, I would like to see the results as in vis.gam command in the same package, with the 3-d visuals. It appears no such option is available for gamm in the

Dear useRs, I am using the gamm function in the mgcv package to model a smooth relationship between a covariate and my dependent variable, while allowing for quantification of the subjectwise variability in the smooths. What I would like to do is to make subjectwise predictions for plotting purposes which account for the random smooth components of the fit. An example. (sessionInfo() is at

Hello, I am having some difficulty converting my gam code to a correct gamm code, and I'm really hoping someone will be able to help me. I was previously using this script for my overdispersed gam data: M30 <-gam(efuscus~s(mic, k=7) +temp +s(date)+s(For3k, k=7) + pressure+ humidity, family=negbin(c(1,10)), data=efuscus) My gam.check gave me the attached result. In order to

Try to fit a longitudinal dataset using generalized mixed effects models via the R function gamm() as follows: library(mgcv) gamm0.fit<- gamm(y ~ x+s(z,bs="cr"), random=list( x=~1, s(z,bs="cr")=~1 ), family = binomial, data =raw) the data is

HELLO ALL, I AM GETTING AN ERROR MESSAGE WHEN TRYING TO RUN A GAMM MODEL LIKE THE ONE BELOW. I AM USING R VERSION 2.14.1 (2011-12-22) AND MGCV 1.7-12. M1 <-gamm(DepVar ~ Treatment + s(Year, by =Treatment), random=list(Block=~1), na.action=na.omit, data = mydata, correlation = corARMA(form =~ Year|Treatment, p = 1, q = 0)) THIS IS THE ERROR MESSAGE Error in `*tmp*`[[k]] : attempt to

Greetings all The help file for GAMM in mgcv indicates that the log likelihood for a GAMM reported using summary(my.gamm$lme) (as an example) is not correct. However, in a past R-help post (included below), there is some indication that the likelihood ratio test in anova.lme(mygamm$lme, mygamm1$lme) is valid. How can I tell if anova.lme results are meaningful (are AIC, BIC, and logLik

Dear everyone, I'm encountering an unknown error message when using gamm function: > fitoutput <- gamm(cvd~as.factor(dow)+pm10+s(time,bs="cr",k=15,fx=TRUE)+s(tmean,bs="cr",k=7,fx=TRUE) + ,correlation=corAR1(form=~1|city),family=poisson,random=list(city=~pm10),data=mimp) Maximum number of PQL iterations: 20 iteration 1 iteration 2 iteration 3 iteration 4

Hello, I am a bit confused about gamm in mgcv. Consulting Wood (2006) or Ruppert et al. (2003) hasn't taken away my confusion. In this code from the gamm help file: b2<-gamm(y~s(x0)+s(x1)+s(x2)+s(x3),family=poisson,random=list(fac=~1)) Am I correct in assuming that we have a random intercept here....but that the amount of smoothing is also changing per level of the