similar to: (PR#8877) predict.lm does not have a weights argument for

Dear R developers, I am a little disappointed that my bug report only made it to the wishlist, with the argument: Well, it does not say it has. Only relevant to prediction intervals. predict.lm does calculate prediction intervals for linear models from weighted regression, so they should be correct, right? As far as I can see they are bound to be wrong in almost all cases, if no weights

Dear list, R 2.5.0 packages for Debian stable (i386 and amd64) are now available from CRAN. The new recommended codetools and rcompgen packages haven't completely made it to Debian yet, but can of course be installed in the standard non-Debian ways. Please consult the README file in the Debian directory, and report problems to me directly or to this list. Best regards, Johannes Ranke --

Hi Dirk, hi list, I just ran into a slight problem while building the recommended packages for CRAN in a chroot environment against the fresh backport of your R 2.6.0 packages. It seems that R CMD javareconf wants to change files in /etc/R during the build, and since I am not building the packages as root in my etch chroot, this fails, even if I am using fakeroot. My workaround was to simply

Dear users of the Debian backports on CRAN, Because of an inconsistency of the README file with the actual situation on CRAN, which Ted Harding gratefully reported, I changed the archive on CRAN so the /etc/apt/sources.list entry has to be changed in case you would like to get updates of R backports to Debian stable in the future: Instead of deb

Dear all, It is my pleasure to announce the immediate availability of R 2.8.0 for the current Debian stable release on CRAN. Source packages and binaries for i386 and amd64 are at your disposal. I also updated the README to include a short howto for using R 2.8.0 from unstable on testing (lenny), which is currently frozen. This currently pulls the current pcre from unstable, next to the current

Peter, This is a highly structured text. Just for the discussion, I separate the building blocks, where (D) and (E) and (F) are new: BEGIN OF TEXT -------------------- (A) Non-?NULL? ?weights? can be used to indicate that different observations have different variances (with the values in ?weights? being inversely proportional to the variances); (B) or equivalently, when the elements of

Hello Griera, sorry, I forgot an "svn add", so the package got lost on the way. It is on chem now, and will migrate to CRAN shortly. Johannes Am Montag, 25. September 2017, 10:57:37 CEST schrieb Griera: > Hello Johannes: > > I'm sorry, but I still have the same problem with Rkward. > > After running apt-get update, I still can not find the amd64 version of the

Hello Johannes: I'm sorry, but I still have the same problem with Rkward. After running apt-get update, I still can not find the amd64 version of the Rkward package. I have tried it with the following sources: deb http://cran.r-project.org/bin/linux/debian stretch-cran34/ deb http://chem.uft.uni-bremen.de/ranke/r-cran stretch-cran34/ deb

Hi Johannes: Thank you very much. Rkward now works. The only drawback is that I had to install it "by hand": sudo dpkg -i rkward_0.6.5-1~stretchcran.0_amd64.deb rkward-data_0.6.5-1~stretchcran.0_all.deb By default, apt-get installed the Debian repository version (rkward 0.6.5-1+b1 0.6.5-1+b1). Thanks for your contributions to the R-Debian project! Regards. Griera. On Mon, 25

OK. We have now three suggestions to repair the text: - remove the text - add "not" at the beginning of the text - add at the end of the text a warning; something like: "Note that in this case the standard estimates of the parameters are in general not correct, and hence also the t values and the p value. Also the number of degrees of freedom is not correct. (The parameter

I tried lrm in library(Design) but there is always some error message. Is this function really doing the weighted logistic regression as maximizing the following likelihood: \sum w_i*(y_i*\beta*x_i-log(1+exp(\beta*x_i))) Does anybody know a better way to fit this kind of model in R? FYI: one example of getting error message is like: > x=runif(10,0,3) > y=c(rep(0,5),rep(1,5)) >

My local R-devel version now has (in ?lm) Non-?NULL? ?weights? can be used to indicate that different observations have different variances (with the values in ?weights? being inversely proportional to the variances); or equivalently, when the elements of ?weights? are positive integers w_i, that each response y_i is the mean of w_i unit-weight observations

Dear R users, I'm trying to fit a simple random intercept model with a fixed intercept. Suppose I want to assign a weight w_i to the i-th contribute to the log-likelihood, i.e. w_i * logLik_i where logLik_i is the log-likelihood for the i-th subject. I want to maximize the likelihood for N subjects Sum_i {w_i * logLik_i} Here is a simple example to reproduce

Yes. Thank you; I should have quoted it. I suggest to remove this text or to add the word "not" at the beginning. Arie On Sun, Oct 8, 2017 at 4:38 PM, Viechtbauer Wolfgang (SP) <wolfgang.viechtbauer at maastrichtuniversity.nl> wrote: > Ah, I think you are referring to this part from ?lm: > > "(including the case that there are w_i observations equal to y_i and

Hello! I would like to use lmer() to fit data, which are some estimates and their standard errors i.e kind of a "meta" analysis. I wonder if weights argument is the right one to use to include uncertainty (standard errors) of "data" into the model. I would like to use lmer(), since I would like to have a "freedom" in modeling, if this is at all possible. For

Hello, Am Mittwoch, 20. September 2017, 15:43:32 CEST schrieb Griera: > Hi: > > I have tried to upgrade from version 3.4.0 to 3.4.1 in a Debian Stretch > following the instructions of the web page: > > https://cran.r-project.org/bin/linux/debian/ > > but after updating, Rkward does not work (Error in RK: Graphics API version > mismatch). Analyzing the problem, I

Hi, I am getting some weird results here and I think I am missing something. I am trying to program a function that for a set of random variables drawn from uniform distributions plots that distribution of the second order statistic of the ordered variables. (ie I have n uniform distributions on [0, w_i] for w_i different w_j and i=1..n. I want to plot the distribution of the second order

Hi Johannes and Dirk: A Divendres 27 Juny 2008 17:05, Johannes Ranke va escriure: > Hi, > > I just added RODBC to the list of packages maintained for the Debian > etch backports on CRAN. The r-cran-rodbc packages are on their way to > CRAN - if you want them now, you can use > > deb http://chem.uft.uni-bremen.de/r-cran etch-cran/ > > as an alternative. Thank you

Hola a todos, Estoy intentando resolver un problema de optimización con R con restricciones lineales, pero no consigo incluir dichas restricciones. Es decir, f<-function(w){ sd(...) # desviación típica de ciertos datos } optim(rep(1/2,8),fn = f,lower=0,upper=1,method='L-BFGS-B') # no se como incluir aquí las restricciones Las restricciones son: la suma de los w_i es 1 y todos los

Indeed: Using 'weights' is not meant to indicate that the same observation is repeated 'n' times. As I showed, this gives erroneous results. Hence I suggested that it is discouraged rather than encouraged in the Details section of lm in the Reference manual. Arie ---Original Message----- On Sat, 7 Oct 2017, wolfgang.viechtbauer at maastrichtuniversity.nl wrote: Using