Hi everyone! First of all: I am new to the forum, so please excuse my lack of knowledge on how to post a question...
I am working on a project where I need to use the GAMLSS package, and the boss have asked me to try using the lognormal distribution. The regression goes as planned, but when evaluating the residuals and using the coef() function, I get multiple coefficients as theory says, but I´m not sure if they can be used as parameters. My question is: How can I model the residuals? Do I have to assume a lognormal distribution of these, or can I assume a distribution of choice? I have plotted the kernel density of the residuals and they do seem to fit a lognormal distribution, but as I am not entirely sure how to find parameters, I do not know how... I guess this is an easy question, but I just cant seem to find a solution to this. A section of the code: tmpformula = as.formula(paste(logvarnames[i]," ~ ", paste(logvarnames[1:i-1], collapse= "+"))) res = gamlss(tmpformula, family = LOGNO(), data = myall ) where logvarnames[] is a vector containing the names of columns from the dataset I use called "myall". -- View this message in context: http://r.789695.n4.nabble.com/Finding-parameters-for-residuals-using-GAMLSS-and-a-lognormal-dist-tp4671674.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.
