search for: gammafit

Hello ALL! Can anyone tell me how to specify qqmath() function with distribution qgamma? In help it is bit vague how to pass shape and scale parameters for gamma. Thank you in advance. Best, PM

...airy". I am not sure how to make plots for the rest. I tried gamma with: qqmath(~ X, data=dat, distribution=function(X) qgamma(X, shape, scale)) Which should be the same as: plot(qgamma(ppoints(dat$X), shape, scale), sort(dat$X)) Shape and scale parameters I got via mhsmm package that has gammafit() for shape and scale parameters estimation. Am I on right track? Does anyone know how to plot the rest: ex-Gaussian (exponential-Gaussian), Wald (inverse Gaussian)? Thanks, PM

Using R, I would like to calculate algorithms to estimate coefficients á and â within the gamma function: f(costij)=((costij)^á)*exp(â*costij).  I have its logarithmic diminishing line data (Logarithmic Diminishing Line Data Table) and have installed R¢s Maximum Likelihood Estimation package; however, I am unsure which method to apply in order to calculate the algorisms (i.e., Newton-Raphson