cdssden: Evaluating Conditional PDF, CDF, and Quantiles of Smoothing...
In gss: General Smoothing Splines

cdssden

R Documentation

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

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

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

`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.

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.

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.

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