search for: molaodi

...N is a vector of length n. unstructured<-function(n,N,alpha,sdx,sdy){ Vx<-rnorm(n,mean=0,sd=sdx) Vy<-rnorm(n,mean=0,sd=sdy) thetax<-exp(alpha+Vx) thetay<-exp(alpha+Vy) X<-rpois(n,N*thetax) Y<-rpois(n,N*thetay) data.frame(X,Y) } set.seed() unstructured() -- Mrs Oarabile Ruth Molaodi Department of Statistics and Modelling Science University of Strathclyde Livingstone Tower 26 Richmond Street Glasgow G1 1XH United Kingdom Tel: +44 141 548 3598 (office) +44 7875087093 (mobile) Fax: +44 141 552 2079

I'm trying to write a function that takes a vector of length n and then takes the first value of the vector i.e j=1 and forms a new vector of length n (i.e replicate the first value n times). This function will then calculate the absoulte difference of the original vector and the new vector and store the results omitting the difference between the value and itself. This function should

Tried to look for package GLLMGibbs-(package for fitting mixed models by Gibbs samppling contributed by Myles' and Clayton) in CRAN but not found it, Does anybody know if it is still available? thanks Oarabile

I am trying to determine whether two samples are identical or not. I'm aware that somebody can use the Kolmogorov-Smirnoff test to compare empirical distributions, but since my samples have ties I'm not sure if I'm getting the right p-values for the comparison. Can the Kolmogorov-Smirnoff test be adjusted for the case when ties exists and are there any functions that already

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I'm trying to produce empirical bayes estimates based on the lognormal model in disease mapping Is there a way this can be done in R? thanks Oarabile

I want to do kernel smoothing on the standardised mortality rates at specified location(x-y coordinates) and be able to produce contour map. I've tried to use the package called fields in R (function smooth.2d) but the problem is I get negative results after smoothing and I do not understand why? Your contributions will be highly appreciated or if there is any package that can do this I