ssden0: Generate quadrature for conditional density fit
In haodongucsb/edgeSelection: Edge selection

View source: R/ssden0.R

ssden0

R Documentation

Generate quadrature for conditional density fit

Description

Generate quadrature for conditional density fit

Usage

ssden0(
  formula,
  type = NULL,
  data = list(),
  alpha = 1.4,
  weights = NULL,
  subset,
  na.action = na.omit,
  id.basis = NULL,
  nbasis = NULL,
  seed = NULL,
  domain = as.list(NULL),
  quad = NULL,
  qdsz.depth = NULL,
  bias = NULL,
  prec = 1e-07,
  maxiter = 30,
  skip.iter = TRUE
)

Arguments

`formula`	Symbolic description of the model to be fit.
`type`	List specifying the type of spline for each variable.
`data`	Optional data frame containing the variables in the model.
`alpha`	Parameter defining cross-validation score for smoothing parameter selection.
`weights`	Optional vector of bin-counts for histogram data.
`subset`	Optional vector specifying a subset of observations to be used in the fitting process.
`na.action`	Function which indicates what should happen when the data contain NAs.
`id.basis`	Index of observations to be used as "knots."
`nbasis`	Number of "knots" to be used.
`seed`	Seed to be used for the random generation of "knots."
`domain`	Data frame specifying marginal support of density.
`quad`	Quadrature for calculating integral. Mandatory if variables other than factors or numerical vectors are involved.
`qdsz.depth`	Depth for the generation of quadrature.
`bias`	Input for sampling bias.
`prec`	Precision requirement for internal iterations.
`maxiter`	Maximum number of iterations allowed for internal iterations.
`skip.iter`	Flag indicating whether to use initial values of theta and skip theta iteration.