cdssden {gss}

Evaluating Conditional PDF, CDF, and Quantiles of Smoothing Spline Density Estimates

Description

Evaluate conditional pdf, cdf, and quantiles for smoothing spline density estimates.

Usage

cdssden(object, x, cond, int=NULL)
cpssden(object, q, cond)
cqssden(object, p, cond)

Arguments

object

Object of class "ssden".

x

Data frame or vector of points on which conditional density is to be evaluated.

cond

One row data frame of conditioning variables.

int

Normalizing constant.

q

Vector of points on which conditional cdf is to be evaluated.

p

Vector of probabilities for which conditional quantiles are to be calculated.

Details

The argument x in cdssden is of the same form as the argument newdata in predict.lm, but can take a vector for 1-D conditional densities.

cpssden and cqssden naturally only work for 1-D conditional densities of a numerical variable.

Value

cdssden returns a list object with the following elements.

pdf

Vector of conditional pdf.

int

Normalizing constant.

cpssden and cqssden return a vector of conditional cdf or quantiles.

Note

If variables other than factors or numerical vectors are involved in x, the normalizing constant can not be computed.

See Also

Fitting function ssden and dssden.