fit_vgam {childsds}

fit lms parameters via VGAM

Description

fit gamlss

Usage

fit_vgam(
  data,
  age.min = 0.25,
  age.max = 18,
  age.int = 1/12,
  keep.models = F,
  dist = "BCN",
  mu.df = 4,
  sigma.df = 3,
  nu.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

keep.models

indicator whether or not models in each iteration should be kept

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

value

names of the value variable (character) if different from value, ignored

Details

wrapper around the vgam function in the VGAM package returns the fitted lms-parameter at given age points the function is called inside do_iterations and may not called directly

Value

list containing a dataframe of the fitted lms parameter at the given age points and the fitted model

Author(s)

mandy