similar to: mixed model testing

Dear All, I'm trying to use waldtest to test poolability (parameter stability) between two logistic regressions. Because I need to use robust standard errors (using sandwich), I cannot use anova. anova has no problems running the test, but waldtest does, indipendently of specifying vcov or not. waldtest does not appear to see that my models are nested. H0 in my case is the the vector of

Dear all, I would like to fit a non-linear model of the form: y=g*x/(a+b*x) with nls(). However this model is somehow overparameterized and I get the error message about singular gradient matrix at initial parameter estimates. What I am interested in is to make inference about parameters b and g, so this has to be taken into account in the model formulation. What options do I have? Also, how is

I would like to combine time-series data to test for correlations and interactions using random and fixed effects meta-analysis. So, I am looking for the right packages and documentation. I know about meta and rmeta packages of R. Are there any more? What are the diffrences in brief? Can you please suggest some references that could be used as a guide for meta-analysis in R (or S-plus)?

Dear all, I have a for loop which includes nls model estimation. The loop breaks after the first non-convergence error. How can I make the loop continue and try to estimate all models? I suppose it should be sth like: if(...) { next } but I have no idea how to setup the arguements... Thank you! Irene

Hi all! I try to estimate a statistic of the form: (x1-x2)/(y1-y2), where x1,x2,y1,y2 represent variable means, so each has an estimate and standard error associated with it. How is it possible to estimate the mean and the variance of this ratio? Thank you! [[alternative HTML version deleted]]

On Tuesday 03 October 2017 18:24:01 Mark Haney wrote: > What issue? That the PID is dropped on reboot?? What else are you > putting in there?? I'm beginning to question whether you know what > you're doing or not.? Lighttpd doesn't store any persistent info in > /var/run/ because, like everything else, /var/run isn't for persistent > data. Mark, Many Non-Centos

I would like to fit a 2-level mixed model: yit=a+a[i]+a[it] +(b+b[i]+b[it])*xit+eps[it] However, the variance of the second level components should depend on the group, i.e. sigma for a[it] and b[it] should be [i] specific. I do not know whether this is conceptually right in the mixed model context... In case it stands, how should the formula look like? Also, the data are unbalanced with

Hi all! I am trying to run a regression where the predictor values are not real data but each is estimated from a different model. So, for each value I have a mean and variance. Which package/function should I use in this case? Thank you! Irene [[alternative HTML version deleted]]

On Wednesday 04 October 2017 12:54:44 Mark Haney wrote: > Sorry, but if you have to use packages that don't originate from CentOS > and they do that, then I wouldn't use them. Period.? I'd compile from > source before I used something configured that way. This perspective to some extent employs cutting your nose of dispite youre face. Before Packages were introduced,

Dear list, I would like to produce a plot of variables where the size of the points will be indicative of their standard errors. How is that possible? Thank you! [[alternative HTML version deleted]]

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Hi all. Last thursday I've had to restore my customer's pdc from an hdd failure, and by the evening I restored a full working state of server and clients, rejoining all of them to the domain. Next morning the customer called me saying that nothing was working, I looked the server from remote without finding failures and then I went there: I found that clients couldn't find the pdc

Hello, I ran into an interesting problem earlier today. I have a Unix machine I maintain in a largely Windows shop. They use Windows Backup for their backups, and so I created a readonly share of the entire filesystem with one user, "backup", who is an admin user. This lets them back up the entire Unix machine by attaching to the "backup" share, but nothing can be changed.

I am a new R user and so I thought I could start with "Using R for Introductory statistics" by Verzani. In order to use some of the functions and datasets I have to install the simpleR package which is is now inside the UsingR package. I did so using >install.packages("UsingR"). However, the functions such as "simple.freqpoly.R" do not work. I also tried to

Good day R-listers, My question is more a statistical question than an R related question, so please bear with me i'm currently applying the chow test of poolability in fact i'm working with panel N=17 T=5 , and my model looks like this : Yit= a0+B1X1+B2X2+B3X3+B4X4+eit My question is the following when i'm Testing for the equality of the coefficients of the unpooled data (the

Hello list. I'm new here, and I'm joining because I'm having a problem wich I can't figure out the solution myself. Here's what's happening: A Samba 3.0.24 is serving files to seven Windows XP clients. Three of those clients run an application with a BDE database. The problem is that when running this application on Samba, it gets very, VERY slow, causing it to hang. I

Dear useRs, I got stuck trying to generate a palette of topographic colors that would satisfy these two requirements: - the pallete must be 'anchored' at 0 (just like on a map), with light blue/lawn green corresponding to data values close to 0 (dark blue to light blue for negative values, green-yellow-brown for positive values) - the brown must get darker for higher positive

Greetings, I am tearing my hair at getting this to work under centos 5.5/Ubuntu 10.04. Any suggesstions (Repos, RPMs etc)? My MB Intel embedded NIC blow up after a lightning (Mumbai get _real_ heavy mansoon rains inter alia). I want this to make work under Centos 5.x (and 6.x subsequently who DVD I have been downloading with a pithy 128kbps connection). -- Regards, Rajagopal

On Tue, Apr 11, 2017 at 7:02 PM, Daniel Berlin <dberlin at dberlin.org> wrote: > >> >> > It would require semantic changes to llvm ir to fix this to properly >> > express object lifetimes that is compatible with all the random babble >> > standards have written down :) >> > For now, the only sane solution IMHO, is to say that no alias implies

Some suggestions for R-intro: -------------------------------------------------- Section 9.2.2, change: (Note the function split() which produces a list of vectors obtained by splitting a larger vector according to the classes specified by a factor. This is a useful function, mostly used in connection with boxplots. See the help facility for further details.) Warning: for() loops are used in