R: Evaluating PDF, CDF, and Quantiles of Smoothing Spline...

dsscden {gss} | R Documentation

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

### Description

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

### Usage

    dsscden(object, y, x)
    psscden(object, q, x)
    qsscden(object, p, x)
    d.sscden(object, x, y)
    d.sscden1(object, x, y, scale=TRUE)

### Arguments

`object` | Object of class `"sscden"` or `"sscden1"`.
`x` | Data frame of x values on which conditional density f(y|x) is to be evaluated.
`y` | Data frame or vector of points on which conditional density f(y|x) is to be evaluated.
`q` | Vector of points on which cdf is to be evaluated.
`p` | Vector of probabilities for which quantiles are to be calculated.
`scale` | Flag indicating whether to use approximate scaling without quadrature.

### Details

The arguments `x` and `y` are of the same form as the argument `newdata` in `predict.lm`, but `y` in `dsscden` can take a vector for 1-D responses.

`psscden` and `qsscden` naturally only work for 1-D responses.

### Value

A matrix or vector of pdf, cdf, or quantiles of f(y|x), with each column corresponding to a distinct x value.

### See Also

Fitting function `sscden` and `cdsscden`.

[Package gss version 2.1-7 Index]