do_iterations: do lms iterations

In mvogel78/childsds: Data and Methods Around Reference Values in Pediatrics

Description

Do lms iterations

Usage

do_iterations(data.list, n = 10, max.it = 1000, 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, 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
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
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

mvogel78/childsds documentation built on May 23, 2019, 10:55 a.m.