similar to: alternative to EMV?

I mainly program in Common Lisp and use R for statistical analysis. While in R I miss the power and ease of use of Lisp, especially its many primitives such as find, member, cond, and (perhaps a bridge too far) loop. Has anyone created a package that includes R analogs to a subset of Lisp functions? Chris Elsaesser, PhD Principal Scientist, Machine Learning SPADAC Inc. 7921 Jones

I would like to try a likelihood ratio test in place of waldtest. Ideally I'd like to provide two glm models, the second a submodel of the first, in the style of lrt (http://www.pik-potsdam.de/~hrust/tools/farismahelp/lrt.html). [lrt takes farimsa objects] Does anyone know of such a likelihood ratio test? Chris Elsaesser, PhD Principal Scientist, Machine Learning SPADAC Inc. 7921

Does anyone know of a package that includes the Modified Sims test [Gewerke, 1983, Sims, 1972]? This test is used in econometrics and is a kind of alternative to the Granger test [Granger, 1969], which is in the package lmtest. Thanks in advance, chris Refernces: Gewerke, J., R. Meese, and W. Dent (1983), "Comparing Alternative Tests of Causality in Temporal Systems: Analytic Results and

New to R; please excuse me if this is a dumb question. I tried to RTFM; didn't help. I want to do a series of regressions over the columns in a data.frame, systematically varying the response variable and the the terms; and not necessarily including all the non-response columns. In my case, the columns are time series. I don't know if that makes a difference; it does mean I have to call

Hello, everyone I have a piece of code that looks like this: mrets <- merge(mrets, BMM.SR=apply(mrets, 1, MyFunc, ret="BMM.AV120", stdev="BMM.SD120")) mrets <- merge(mrets, GM1.SR=apply(mrets, 1, MyFunc, ret="GM1.AV120", stdev="GM1.SD120")) mrets <- merge(mrets, IYC.SR=apply(mrets, 1, MyFunc, ret="IYC.AV120",

Section 1.1 of R-exts mentions that the Maintainer and Author fields can be omitted from the DESCRIPTION file if Authors@R is supplied. However, R CMD check does not seem to like this. package.skeleton("foo") desc <- readLines("foo/DESCRIPTION") desc[6] <- "Authors@R: person('Mathew', 'McLean', email = 'name@example.com', role =

Hello R group Do you know if an EM algorithm exits for R to estimate missing data in a sample? I just found knn algorithm in to the package emv but it doesn't look to be the usual EM algorithm. Thanks Xavier -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Hi guys, can anyone suggest why, when I connect to my rsync server, I'm not prompted for a username and password but instead I'm only prompted for a password? I have "auth users = username" set in /etc/rsyncd.conf and a corresponding entry in /etc/rsyncd.secrets but still rsync only asks for a password. Stewart -- Stewart Mclean UNIX Support Group Information Management

Friends I'm trying fit a survival model by maximum likelihood estimation using this function: flver=function(a1,a2,b1,b2) { lver=-(sum(st*log(exp(a1*x1+a2*x2)))+sum(st*log(hheft(exp(b1*x1+b2*x2)*t,f.heft))) -(exp(a1*x1+a2*x2)/exp(b1*x1-b2*x2))*sum(-log(1-pheft(exp(b1*x1+b2*x2)*t,f.heft)))) } emv=mle(flver,start=list(a1=0,a2=0,b1=0,b2=0)) where hheft and pheft are functions defined in

Recently I shutdown my RS6000 running AIX 4.3.3 and Samba 2.0.7 and rebooted. Since rebooting, the performance of the Samba server has dramatically decreased. Nothing has changed on the AIX box. I recently added a Microsoft Small Business Server 2003 to the network. I thought that may be the culprit. I shutdown that server for a few days and the problem still exists. Any help would be much

Hi guys, I am experiencing a very strange problem with passwords and username with rsync. I have a "auth users" line in my /etc/rsyncd.conf file (see below) and a corresponding username and password in my /etc/rsyncd.secrets. The strange thing is is that authentication for the module listed in /etc/rsyncd.conf (unixadm) only works IF the username in /etc/rsyncd.secrets is the same as

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

Hi, I've installed Samba and started up the processes; however, I do not see the Samba server in Network Neighborhood. In using the DIAGNOSIS.txt file, I cannot get past test 3: ./smbclient -U% -L localhost. The output is as follows: added interface ip=140.188.120.55 bcast=140.188.120.255 nmask=255.255.255.0 session setup failed: Call returned zero bytes (EOF) Any insight into this

I would like to impute missing data in a set of correlated variables (columns of a matrix). It looks like transcan() from Hmisc is roughly what I want. It says, "transcan automatically transforms continuous and categorical variables to have maximum correlation with the best linear combination of the other variables." And, "By default, transcan imputes NAs with "best

Hi all, A colleague of mine tried to install the package EMV, which had been removed from CRAN. she ran into some kind of trouble, R locked up, and she closed the program. Now when she starts R, "utils" can't be loaded which of course create an unworkable environment. Below I've copy-pasted the error message she gets when starting R. Any ideas on what went wrong, and more

I am trying to create a DVD with ISOLinux as the bootloader to allow my users to select to install either Linux or Windows. Having read the article http://syslinux.zytor.com/archives/2002-October/001135.html i am left in a bit of a confused state as it sort of half explains things. All i think i need to know is: 1. What files are needed to boot windows? 2. Where do i have to place the

Dear all, I am using transcan to impute missing values (single imputation). I have several dichotomous variables in my dataset, but when I try to impute the missings sometimes values are imputed that were originally not in the dataset. So, a variable with 2 values (severe weight loss or no/limited weight loss) for example coded 0 and 1, shows 3 different values after imputation (0, 1 and 2). I

Hello: I have been trying to impute missing values of a data frame which has both numerical and categorical values using the function transcan() with little luck. Would you be able to give me a simple example where a data frame is fed to transcan and it spits out a new data frame with the NA values filled up? Or is there any other function that i could use? Thank you avneet ===== I believe in

Dear all; I am trying to use HMISC imputation function to perform multiple imputations on my data and I keep on getting errors for the code given in the help files. When using "aregImpute" the error is; >f <- aregImpute(~y + x1 + x2 + x3, n.impute=100) Loading required package: acepack Iteration:1 Error in .Fortran("wclosepw", as.double(w), as.double(x),

  I have timeseries data for some factors, and some missing values are there in those factors, I want impute those missing values without disturbing the distribution of that factor, and maintaining the correlation with other factors. Pl. suggest me some imputation methods. I tried some functions in R like aregImpute, transcan. After the imputation I am unable to retrive the data with imputed