do_iterations {childsds}

do lms iterations

Description

Do lms iterations

Usage

do_iterations(
  data.list,
  n = 10,
  max.it = 1000,
  method = "gamlss",
  prop.fam = 0.75,
  prop.subject = 1,
  age.min = 0,
  age.max = 18,
  age.int = 1/12,
  keep.models = F,
  dist = "BCCGo",
  mu.df = 4,
  sigma.df = 3,
  nu.df = 2,
  tau.df = 2,
  verbose = F,
  formula = NULL,
  sigma.formula = ~1,
  nu.formula = ~1,
  tau.formula = ~1,
  method.pb = "ML",
  trans.x = F,
  lim.trans = c(0, 1.5)
)

Arguments

data.list

list of dataframes as returned by prepare_data

n

number of desired fits

max.it

maximum number of iterations that will be run

method

use vgam or gamlss

prop.fam

proportion of families to be sampled

prop.subject

proportion of subject to be sampled

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

tau.df

degree of freedem kurtosis parameter

verbose

whether or not information about sampling will be printed during while iterate

formula

formula for the location parameter

sigma.formula

formula for the sigma parameter

nu.formula

formula for the nu parameter

tau.formula

formula for the tau parameter

method.pb

GAIC or ML

trans.x

indicator wether age should be transformed or not

lim.trans

limits for the exponent of transformation of age

Details

function samples families, samples measurements (and subjects), fits the model for a given number of iterations

Value

list of lists for models and fitted parameters

Author(s)

Mandy Vogel