Para_gamboostLSS: Fit boosted 'gamlss'-type semi-parametric models...

In jbrowell/ProbCast: Flexible Probabilistic Forecasting

Fit boosted gamlss-type semi-parametric models (depreciated)

Description

This function is now depreciated and may be removed in future versions of this package. Use ppd_gamboostlss() instead.

Usage

Para_gamboostLSS(
  data,
  formula,
  families = gamboostLSS::GaussianLSS(),
  parallel = F,
  cores = NULL,
  pckgs = NULL,
  ...
)

Arguments

data	A data.frame containing target and explanatory variables. May optionally contain a column called "kfold" with numbered/labeled folds and "Test" for test data.
formula	A formula or list of formulas for differences between formulas for location, scale, shape etc..(see ?gamboostLSS)
families	A gamboosLSS family object, which is used to define the distribution and the link functions of the various parameters.
parallel	boolean parallelize cross-validation process? Parallelisation is over cross-validation folds.
pckgs	if parallel is TRUE then specify packages required for each worker (e.g. c("data.table) if data stored as such)
...	Additional arguments passed to gamboostLSS().

Value

A list of gamboostlss objects. Each list element corresponds to a cross-validation fold and contains a gamlss model trained on all other folds.

Author(s)

Ciaran Gilbert, [e-mail]

jbrowell/ProbCast documentation built on July 20, 2024, 1:53 p.m.