stats (version 3.3)

kernapply: Apply Smoothing Kernel

Description

kernapply computes the convolution between an input sequence and a specific kernel.

Usage

kernapply(x, ...)
## S3 method for class 'default':
kernapply(x, k, circular = FALSE, \dots)
## S3 method for class 'ts':
kernapply(x, k, circular = FALSE, \dots)
## S3 method for class 'vector':
kernapply(x, k, circular = FALSE, \dots)
## S3 method for class 'tskernel':
kernapply(x, k, \dots)

Arguments

x

an input vector, matrix, time series or kernel to be smoothed.

k

smoothing "tskernel" object.

circular

a logical indicating whether the input sequence to be smoothed is treated as circular, i.e., periodic.

...

arguments passed to or from other methods.

Value

• A smoothed version of the input sequence.

See Also

kernel, convolve, filter, spectrum

Examples

## see 'kernel' for examples