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]
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?
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 nu by
3 matches
Mail list logo