fit gamlss
fit_gamlss(
data,
age.min = 0.25,
age.max = 18,
age.int = 1/12,
keep.models = F,
dist = "BCCGo",
mu.df = 4,
sigma.df = 3,
nu.df = 2,
tau.df = 2,
trans.x = F,
lim.trans = c(0, 1.5),
value,
tmpdata
)list containing a dataframe of the fitted lms parameter at the given age points and the fitted model
dataframe as return by select_meas()
lower bound of age
upper bound of age
stepwidth of the age variable
indicator whether or not models in each iteration should be kept
distribution used for the fitting process, has to be one of BCCGo, BCPEo, BCTo as they are accepted by lms()
degree of freedem location parameter
degree of freedem spread parameter
degree of freedem skewness parameter
degree of freedem kurtosis parameter
indicator wether age should be transformed or not
limits for the exponent of transformation of age
names of the value variable (character) if different from value, ignored
ignored
Mandy Vogel
wrapper around the lms function in the gamlss package
returns the fitted lms-parameter at given age points
the function is called inside do_iterations and may not called directly