search for: s00180

...ikelihood ratio detector for time varying Poisson and and negative binomial means Modelling routines: * A Poisson and negative binomial model for the analysis of multivariate infectious disease surveillance data described in Held et al. (2005) The paper available from http://dx.doi.org/10.1007/s00180-007-0074-8 provides a good overview of the package. Source code and binaries (currently version 0.9-8) are available from CRAN. Visit the R-Forge project web page for more information, development versions and forums to discuss ideas and report bugs: http://surveillance.r-forge.r-proje...

...ikelihood ratio detector for time varying Poisson and and negative binomial means Modelling routines: * A Poisson and negative binomial model for the analysis of multivariate infectious disease surveillance data described in Held et al. (2005) The paper available from http://dx.doi.org/10.1007/s00180-007-0074-8 provides a good overview of the package. Source code and binaries (currently version 0.9-8) are available from CRAN. Visit the R-Forge project web page for more information, development versions and forums to discuss ideas and report bugs: http://surveillance.r-forge.r-proje...

Hello everybody I'm having some difficulties to design the decision tree algorithm J48. I am using the following code and when I run it gives me the following message plot(m1) Error in plot.Weka_tree(m1) : Plotting of trees with multi-way splits is currently not implemented. #The code library(RWeka) library(randomForest) library(party) if(require(mlbench, quietly = TRUE) &&

Hello R community, I have been using R's inbuilt maximum likelihood functions, for the different methods (NR, BFGS, etc). I have figured out how to use all of them except the maxBHHH function. This one is different from the others as it requires an observation level gradient. I am using the following syntax: maxBHHH(logLik,grad=nuGradient,finalHessian="BHHH",start=prm,iterlim=2)

Dear members of the R Development Team, I am looking for people with a deep understanding of R internals to assist in bridging R to OpenOffice. While R is a state of the art statistical environment, less experienced users often find it difficult to work with R. Therefore, I believe that a bridge between R and a spreadsheet program will make this transition less painful. I sincerely believe