[R] Beginner needs help with plotting a generalized pareto distribution with R

Hello, I have installed and loaded the "POT" R package. I am now trying to plot a generalized pareto distribution but I am not sure how to do it. Can anyone please help me with my first steps with R? Thanks in advance, Julien. [[alternative HTML version deleted]] _

[R] Zero truncated Poisson distribution & R2WinBUGS

I am using a binomial mixture model to estimate abundance (N) and detection probability (p) using simulated count data: -Each site has a simulated abundance that follow a Poisson distribution with lambda = 5 -There are 200 simulated sampled sites -3 repeated counts at each site - only 50 percent of

[R] R2WinBUGS trap

I am generating 1000 replicate data sets in R, each data set is then analyzed with WinBUGS in batch mode using R2WinBUGS. Unfortunately, occasionally some data sets lead WinBUGS to open a "trap" window; and the simulations are interrupted as result of the message. Is there any ways to set R2WinBUGS

[R] R2WinBUGS/ trap

I am generating 1000 replicate data sets in R, each data set is then analyzed with WinBUGS in batch mode using R2WinBUGS. Unfortunately, occasionally some data sets lead WinBUGS to open a "trap" window; and the simulations are interrupted as result of the message. Is there any ways to set R2WinBUGS

[R] Overdispersion, AIC and mixed models

Hi I want to do use AIC for model selection on mixed model. However, before going deeper in the model selection, I want to assess is there is overdispersion with the full model in order to decide if I should use QAIC instead of AIC. Is there a way to compute a chisquare goodness of fit test for