Conditional Distribution Hat Operator

Constructs the conditional distribution hat operator associated with npcdist bandwidth objects. The returned operator maps a right-hand side y to \(H y\); with y = 1 this reproduces the fitted conditional distribution function.

Usage

npcdisthat(bws,
           txdat = stop("training data 'txdat' missing"),
           tydat = stop("training data 'tydat' missing"),
           exdat,
           eydat,
           y = NULL,
           output = c("matrix", "apply"),
           deriv = NULL,
           s = NULL)

Arguments

Data, Bandwidth Inputs And Formula Interface

These arguments identify the fitted bandwidth object, training data, and evaluation data.

bws

A fitted conditional distribution bandwidth object of class "condbandwidth".

exdat

Optional evaluation conditioning data. If omitted, the operator is built on the training conditioning data.

eydat

Optional evaluation response data. If omitted, the operator is built on the training response data.

txdat

Training conditioning data used to construct the operator.

tydat

Training response data used to construct the operator.

Operator Output

These arguments control whether the operator is returned as a matrix or applied directly.

output

Either "matrix" for the hat matrix or "apply" for direct application to y.

y

Optional right-hand side vector or matrix with one row per training observation.

Derivative Controls

These arguments request continuous-conditioning derivative hat operators.

deriv

Optional derivative selector passed through to the continuous-conditioning derivative resolver.

s

Optional derivative multi-index for continuous conditioning variables. The default s = NULL returns the ordinary conditional-distribution hat operator.

Details

For output = "matrix", the return value is a matrix with class c("npcdisthat", "matrix") and attributes storing the bandwidth object, training data, evaluation data, and call metadata.

For output = "apply", the function returns H y directly. Matrix right-hand sides are applied column-wise.

The optional s argument follows the derivative multi-index convention used by npreghat for continuous conditioning variables. The default s = NULL returns the ordinary conditional-distribution hat operator. Supplying one first derivative, for example s = 1L in a univariate continuous-\(x\) problem or s = c(x2 = 1L) in a multivariate problem, returns the hat operator for that component of the conditional-distribution gradient. This derivative route is intended to match npcdist(..., gradients = TRUE)$congrad.

This helper is intended for object-fed repeated evaluation once a bandwidth object has already been constructed. It does not perform bandwidth selection.

Value

Either a hat matrix of class "npcdisthat" or the applied result H y, depending on output.

Examples

if (FALSE) { # \dontrun{
data(cps71)
tx <- data.frame(age = cps71$age)
ty <- data.frame(logwage = cps71$logwage)

bw <- npcdistbw(xdat = tx, ydat = ty, bwtype = "fixed",
                bandwidth.compute = FALSE, bws = c(1.0, 1.0))

H <- npcdisthat(bws = bw, txdat = tx, tydat = ty)
dist.hat <- npcdisthat(bws = bw, txdat = tx, tydat = ty,
                       y = rep(1, nrow(tx)),
                       output = "apply")
dist.core <- fitted(npcdist(bws = bw, txdat = tx, tydat = ty))

head(cbind(dist.core, dist.hat), n = 2L)
} # }