Usage
fit_gamlss(data, age.min = 0.25, age.max = 18, age.int = 1/12,
dist = "BCCGo", mu.df = 4, sigma.df = 3, nu.df = 2, tau.df = 2,
value)
Arguments
data
dataframe as return by select_meas()
age.min
lower bound of age
age.max
upper bound of age
age.int
stepwidth of the age variable
dist
distribution used for the fitting process, has to be one of BCCGo, BCPEo, BCTo as they are accepted by lms()
mu.df
degree of freedem location parameter
sigma.df
degree of freedem spread parameter
nu.df
degree of freedem skewness parameter
tau.df
degree of freedem kurtosis parameter
value
names of the value variable (character) if different from value, ignored