similar to: orphaning CRAN packages

Hi. I've been very interested in your seao & seao-gui package for R. However manuals of seao & seao-gui package for R have doesn't include examples, so I can't understand how to use them. Could you tell me availability of tutorials of them in English. Regards.

Hi All: Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources. Best wishes, ANDREW tseries: Package for time series analysis Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6 Depends: ts, mva, quadprog Date: 2001-08-27 Author: Compiled by Adrian

Dear all, Is there any generic algorithm code for optimization implemented in R? I searched without success. Thanks, -- Zhu Wang Statistical Science Department Southern Methodist University Phone: (214)768-2453 Fax: (214)768-4035 Email: zhuw at mail.smu.edu

Hello to everyone! I have built CRAN task view for genetics. For now I have not submit it to CRAN yet and it can be accessible from: http://www.bfro.uni-lj.si/MR/ggorjan/software/R/Genetics.html http://www.bfro.uni-lj.si/MR/ggorjan/software/R/Genetics.ctv I have not submitted it to CRAN, since I would like first some opinion about it. Genetics is really so broad field that I belive one person

Hi All Please see the Rprofile file which i have modified as follows and after that when I start R then I see that R says to me "TRUE" for all the packages implying that all loaded at once. But when i try to use commands as simple as help("lm"), it doesnt work nor any of the menu "Packages" is not working. Although the regression using lm ( Y ~ X ) is working

I posted the following a little earlier on the quantian-announce list -- but it may be of interest here as well as this version contains all (but three, see below) packages from CRAN, and all of BioConductor. Quantian strives to provide the easiest way to set up a very complete scientific computing environment with a wide variety of tools -- including R, ESS, Ggobi, almost all of CRAN, all of

I posted the following a little earlier on the quantian-announce list -- but it may be of interest here as well as this version contains all (but three, see below) packages from CRAN, and all of BioConductor. Quantian strives to provide the easiest way to set up a very complete scientific computing environment with a wide variety of tools -- including R, ESS, Ggobi, almost all of CRAN, all of

Hi, I am new to lattice graphics and have the following question. I have a dataframe d2: cat PointsInTime MeanScore 1 Parent Intake 26.25000 2 Youth Intake 9.75000 3 Worker Intake 20.63636 4 Parent Discharge 24.00000 5 Youth Discharge 15.60000 6 Worker Discharge 23.90909 and to produce a plot I am using the following code print(xyplot(MeanScore ~

Dear list, I have been comparing the outputs of two packages for latent class regression, namely 'flexmix', and 'mmlcr'. What I have noticed is that the flexmix package appears to come up with a much better fit than the mmlcr package (based on logLik, AIC, BIC, and visual inspection). Has anyone else observed such behaviour? Has anyone else been successful in using the mmlcr

All: I am new to R and would like your help in identifying the appropriate process to follow in order to modify the output from an existing package. I've had difficulty finding an answer online, perhaps because I am using incorrect terminology. A package that I am using (mmlcr) invokes another package (multinom). An output of multinom is the standard errors, but this output is not

I am new to mmlcr and am working on a latent class mixture model attempting to identify the trajectory and number of classes that best describes my data. I am able to find model parameters such as degrees of freedom, loglikelihood, and BIC. For example, here is a cubic 3-class model I am using. mmlcr1 <- mmlcr(outer = ~ 1 | ID, components = list(list(formula = Score ~ poly(wave,3), class =

Hi the list. Is there a bug in mmlcr package ? The following code does not compile: mmlcrTest <- function(dataW){ dataL <- reshape(dataW,idvar="id",timevar="T",varying=list("T0","T1","T2"),direction="long",v.names="score") resultR <- mmlcr(outer= ~ 1 | id, components = list(list(formula =

hello R-friends, I'm looking for a quantile function for the noncentral f-distribution in the area of equivalence hypotheses testing. Can somebody help me? Many thanks ----------------------------------------------------------------- Dipl. Inform. J. Hedderich Institut f?r Medizinische Informatik Phone : 0431 / 5973182 und Statistik im Klinikum an der CAU

Greetings I'm a relatively new R user and I'm trying to build a latent class model. I've used the 'R Site Search' and it appears there's not much dialogue on these packages On mmlcr, I've gotten it working, but not sure if I'm using it correctly. On flexmix, I can only seem to get results for one class. I'm attaching my code below - if anyone

The CRAN policy page (https://cran.r-project.org/web/packages/policies.html) implies that there is a formal procedure for orphaning a package but none is mentioned in the Extensions manual (https://cran.r-project.org/doc/manuals/r-devel/R-exts.html). This page (https://cran.r-project.org/src/contrib/Orphaned/README) implies that one would simply resubmit the package to CRAN with the text

I haven't used Mongrel for any of my projects in some time now, so I'm no longer an active user and have been unable to find the time to keep up with them. I'm orphaning the following packages, so they're up for grabs for anyone actually using them: rubygem-mongrel rubygem-gem_plugin rubygem-fastthread Looks like the following packages rely on mongrel:

Together with Alessio Boattini of the University of Bologna we have created a package called Biodem. Biodem provides a number of functions for Biodemographycal analysis, and we hope it will be useful to the anthropological community. Because Biodem contains all the functions found in Malmig (a package I maintain), I would like to orphan it, or, even better, have it removed from CRAN. Finally,

Together with Alessio Boattini of the University of Bologna we have created a package called Biodem. Biodem provides a number of functions for Biodemographycal analysis, and we hope it will be useful to the anthropological community. Because Biodem contains all the functions found in Malmig (a package I maintain), I would like to orphan it, or, even better, have it removed from CRAN. Finally,

Hi! I have a data.frame "data" and splitted it. data <- split(data, data[,1]) This is a quite slow procedure; and I do not want to do it again. So, any unsplit and "resplit" is no option for me. But: I have to cbind "variables" to the splitted data from another list, that contains of vectors with matching sizes, so for (i in 1:length(data)) { data[[i]]

Dear List, Does anyone have experience using mmlcr Package? I am working on a longitudinal dataset. The model fitting is fine. However, I had a problem with the command "plot.mmlcr". It seems to me it can not plot a very nice trajectory plot for longitudinal dataset. I wonder whether somebody can share the experience, i.e. how to make a nice trajectory plot for longitudinal data.