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.... The density curve, however, goes beyond 0 and 1 because of the kernel smoothing. Example: x = runif(10000) plot(density(x)) Is there a way to estimate the density curve strictly within (0, 1) and still use some sort of smoothing? Any help would be greatly appreciated. Best regards, Justine Rochon ________________________ Justine Rochon - Biostatistician - Center for Clinical Studies University Hospital Regensburg Franz-Josef-Strau?-Allee 11 D-93053 Regensburg Phone: ++49-(0)941-944-5626 Fax: ++49-(0)941-944-5632 Email: justine.rochon at klinik.uni-regensburg.de

Dear list, I am wondering whether R allows to perform a Poisson regression on counting data which include censored observations, that is, observations of the form "2 events or more" or "less than 2 events" or even "1 or 2 events". Can anyone give me a hint whether this is already possible and how to do it? Data of the form (obstime is the observation time,