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kernapply computes the convolution between an input sequence and a specific kernel.
kernapply
kernapply(x, …)# S3 method for default kernapply(x, k, circular = FALSE, …) # S3 method for ts kernapply(x, k, circular = FALSE, …) # S3 method for vector kernapply(x, k, circular = FALSE, …)# S3 method for tskernel kernapply(x, k, …)
# S3 method for default kernapply(x, k, circular = FALSE, …) # S3 method for ts kernapply(x, k, circular = FALSE, …) # S3 method for vector kernapply(x, k, circular = FALSE, …)
# S3 method for tskernel kernapply(x, k, …)
an input vector, matrix, time series or kernel to be smoothed.
smoothing "tskernel" object.
"tskernel"
a logical indicating whether the input sequence to be smoothed is treated as circular, i.e., periodic.
arguments passed to or from other methods.
A smoothed version of the input sequence.
kernel, convolve, filter, spectrum
kernel
convolve
filter
spectrum
## see 'kernel' for examples
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