similar to: Install repeated library

Dear r-helpers, I downloaded http://popgen.unimaas.nl/~jlindsey/rcode/rmutil.tar (it was originally .tgz, but got unzipped by my browser). Can anyone give me detailed instructions on installing this and Lindsey's other packages on R version 2.4.0 (2006-10-03)---(powerpc- apple-darwin8.7.0, locale: C)? _____________________________ Professor Michael Kubovy University of Virginia

Dear all, I am taking a course in GLM given by a devoted SAS user. He has given us a homework where a mixed GLM with a logistic link and binomially distributed observations should be fitted. I know of the library nlme for mixed effect models but as I understand it, one cannot choose between different links and distributions in the functions provided there. I have so far managed very well with

I have just placed version 0.2 alpha of my library, dna, on my web page at www.luc.ac.be/~jlindsey/rcode.html The R functions in this library cover most of the basic methods of dna and protein sequence analysis. The library includes ports of CLUSTAL W for multiple sequence alignment and flip for finding open reading frames in a dna sequence. There are an enormous number of interesting and

I have just placed version 0.2 alpha of my library, dna, on my web page at www.luc.ac.be/~jlindsey/rcode.html The R functions in this library cover most of the basic methods of dna and protein sequence analysis. The library includes ports of CLUSTAL W for multiple sequence alignment and flip for finding open reading frames in a dna sequence. There are an enormous number of interesting and

I have just put the postscript file for the first draft of a manuscript of a course on The Statistical Analysis of Stochastic Processes in Time, as well as the R code to do all of the examples, on my web page at www.luc.ac.be/~jlindsey/manuscripts.html The chapters are Part I Basic principles 1. What is a stochastic process? 2. Normal theory models and extensions. Part II Categorical state

I have just put the postscript file for the first draft of a manuscript of a course on The Statistical Analysis of Stochastic Processes in Time, as well as the R code to do all of the examples, on my web page at www.luc.ac.be/~jlindsey/manuscripts.html The chapters are Part I Basic principles 1. What is a stochastic process? 2. Normal theory models and extensions. Part II Categorical state

I have a data set in which I have 5000 repeated measures on 6 subjects over time (varying intervals, but measurements for all individuals are at the same times). There are two states, a "resting" state (the majority of the time), and a perturbed state. I have a continuous measurement at each time point for each of the individuals. I would like to determine the "state"

An executable version 0.6 of my libraries is now available at www.luc.ac.be/~jlindsey/rcode.html This works with MS R0.64.2 and appears possibly to work with R65.0. There is a serious problem with the Fortran compiler as some of the examples for elliptic and carma crash it. These same examples do not crash R63.0 with the library executables of Jan 99. I am releasing this anyway because of the

Thompson's Manual to Accompany Agresti's book refers to a package named "repeated". It's not on CRAN from what I can see. I have seen rpm's for it. Where is the best place to download this package? Rick B.

Hello, I would like to fit generalized linear mixed models but I did not find the package allowing such procedure. R help under nlme package gives me "glmmPQL(MASS)" but this file does not appear in contributed packages. Thanks in advance for your answer. Alexandre MILLON -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi, Suppose I have a matrix, A. Is there an easy way to find A^{n}? I mean, I can do something like: A %*% A %*% A %*% A for A^4, but if I want A^{10} it would be kind of annoying... Cheers, Kevin ------------------------------------------------------------------------------ Ko-Kang Kevin Wang Postgraduate PGDipSci Student Department of Statistics University of Auckland New Zealand

Hi all, Does anyone know what happened to the dna library or the dotmatrix function? For the life of me, I can't find it anywhere with the exception of this reference: http://rss.acs.unt.edu/Rdoc/library/dna/html/dotmatrix.html Thanks! Jeff. http://www.nd.edu/~jspies/ [[alternative HTML version deleted]]

Hi All, I want to upload J K Lindsey's "repeated" in a LINUX OS.. I had tried the command.. [root@localhost Desktop] # R CMD INSTALL repeated.gz " WARNING: invalid package 'repeated' " *Installing to library '/usr/local/lib/R/library' ERROR: No packages

I would like to install the package "growth" as it contains the function "corgram" and some other presumably useful stuff for time series analysis. I can see it is in R standard library list: http://hosho.ees.hokudai.ac.jp/~kubo/Rdoc/doc/html/packages.html<http://hosho.ees.hokudai.ac.jp/%7Ekubo/Rdoc/doc/html/packages.html>

Hello! I must estimate the parameters of a exponential power density. There is the normalp package, but this works only for a shape parameter bigger than 1. But what should i do if the shape parameter is less than 1? (Sorry for my english) Thank you very much for help! -- View this message in context: http://www.nabble.com/Parameters-of-exponential-power-density-tp20774495p20774495.html Sent from

Dear R-users, Do you know if we can use the function lme in R for log-normal distribution of parameters as used in Nonmem ? theta=theta0*exp(eta) In our model, the parameters follow the log-normal distribution so it's not reasonable to deal with normal distribution which gives us negative values in simulation Thanks for your help, Thu [[alternative HTML version deleted]]

*Dear R-help: My name is Rodrigo and I have a question with nlme package in R to fit a mixed beta regression model. The details of the model are: Suppose that:* *j in {1, ..., J}* *(level 1)* *i in {1, ..., n_j}* *(level 2)* *y_{ij} ~ Beta(mu_{ij} * phi_{ij}; (1 - mu_{ij}) * phi_{ij}) y_{ij} = mu_{ij} + w_{ij} * *with* *logit(mu_{ij}) = Beta_{0i} + Beta_{1i} * x1_{ij} + b2 * x2_{ij}

Dear R-people Does someone have a routine to ngenerate inverse-gaussian random numbers. I am thinking of something similar to rinvgauss, pinvgauss etc. in S-plus. best regards Helgi -- Helgi Tomasson FAX: 354-552-6806 University of Iceland PHONE:354-525-4571 Faculty of Economics and Business Administration

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Hi, the link to the R code for repeated measurement analyses of J Lindsey is unfortunately not working. I am desperate for repeated measurements in R; could you please help me out. Sincerely, Dr. G. Stoet -- Dr. Gijsbert Stoet email: stoet@thalamus.wustl.edu Web: http://eye-hand.wustl.edu/lab/people/stoet.html Phone: (314)7474095 Fax: (314)7474370