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"Hi everybody\n\nI am new to the forum and apologize in advance if I have missed a similar thread when searching the forum.\n\nI have a very specific data set, for which I am trying to find a way to calculate a distribution.\nIt consists of age-at-death estimations of archaeological skeletal remains. Due to the nature of the methods employed I don't have absolute ages, but age ranges within which an individual died. Those age ranges vary in percision depending on the age itself as well as the preservation of the remains.\nMy dataset looks something like this:\nIndividual Nr.               Age\n1                                   12-16\n2                                   14-20\n3                                   18-30\n4                                   11-13\n... and so on\nMy main problem is that I don't know and can't figure out what this sort of data is called.\nIt is sort of interval censored, but I only have one observation per individual and the event has always occured. So it would, I guess be intervall censored data with large parts of the dataset missing e.g. everyone who has not yet died. Can I still treat it als interval censored data in that case? Or if not, does anyone have a suggestion of how to manage this kind of data?\nI usually do statistics in R, so if anyone has an idea of R packages able to cope with this kind of data, I would welcome the input. I have already used the survival package and the survfit funtion etc., but since I am not sure if I can treat it as interval censored data, I am not sure wheter the results are an accurate representation of my data.\n\nI am very greatful for your help and every little hint that could lead me in the right direction."
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