[R] gamlss question

What is the recommended way of accessing distribution parameters (mu, sigma, ...) from the model fit? The indention is to use those values in d/p/q/r calls. I came out with a wrapper gamlss_fit <- function(x, family) { fit <- gamlssML(x, family = family) mu <- fitted(fit, "mu")[1] sigm

Re: [R] GAMLSS Question

Hi, predictAll should do what you want. See ?predict.gamlss. HTH, Denes > Dear All: > > I have succeeded in fitting a GAMLSS.dist model to growth data I am > working > with it. > > My aim is to create a matrix of predicted percentiles and the > corresponding > the fitted model's sigma mu

[R] GAMLSS Question

Dear All: I have succeeded in fitting a GAMLSS.dist model to growth data I am working with it. My aim is to create a matrix of predicted percentiles and the corresponding the fitted model's sigma mu nu by agebins. Q: How do it generate these parameters as in L M S per Cole and Green 1992? Her