Dear all, I have some questions for count data. First, I want to calculate the expectation value and variance from truncated data when I assume that the truncated data follow Poisson or negative binomial distribution.
For example, N freq 1 30 2 35 3 26 4 8 5 0 6 2 7 0 The mean of N is 2.2. If the data follows Poisson distribution, the estimated lambda is 1.9. Is there any package to estimate the lambda from truncated count data? I used “gnlm” and “vcd” packages but I did not have correct expectation value. Second, I want to test the goodness of fit using truncated count data(see. example data) for the given distributions such as Poisson or negative binomial distribution. I think Chisq test can be one solution to test the goodness of fit. However, I need to run more than 10,000 data sets. I think it takes long time to test the goodness of fit. Therefore, I need to find a method which can test the goodness of fit of truncated count data for the given distribution. If you have any suggestions (packages, book, or paper), it will be really helpful to my research. Have a nice day. -- View this message in context: http://n4.nabble.com/Chisq-test-for-truncated-count-data-and-estiamte-the-expectation-value-tp1559590p1559590.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
