one_iteration: one iteration

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

Description

one iteration

Usage

one_iteration(data.list, prop.fam = 0.75, prop.subject = 1, age.min = 0,
  age.max = 18, age.int = 1/12, keep.models = F, dist = "BCCGo",
  sigma.df = 3, nu.df = 2, mu.df = 4, 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
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()
sigma.df	degree of freedem spread parameter
nu.df	degree of freedem skewness parameter
mu.df	degree of freedem location 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 then measurements and fits the model the function is called inside do_iterations and may not called directly

Value

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

Author(s)

Mandy Vogel

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