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

Description Usage Arguments Details Value Author(s)

fit gamlss

1
2
3

fit_gamlss(data, age.min = 0.25, age.max = 18, age.int = 1/12,
  keep.models = F, dist = "BCCGo", mu.df = 4, sigma.df = 3, nu.df = 2,
  tau.df = 2, trans.x = F, lim.trans = c(0, 1.5), value)

`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
`tau.df`	degree of freedem kurtosis parameter
`trans.x`	indicator wether age should be transformed or not
`lim.trans`	limits for the exponent of transformation of age
`value`	names of the value variable (character) if different from value, ignored

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

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

Mandy Vogel

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