one_iteration {childsds} R Documentation

## one iteration

one iteration

### Usage

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

### Arguments

 `data.list` list of dataframes as returned by prepare_data `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() `formula` formula for the location parameter `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 `sigma.formula` formula for the sigma parameter `nu.formula` formula for the nu parameter `tau.formula` formula for the tau 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 `method.pb` GAIC or ML

### 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

[Package childsds version 0.7.6 Index]