kernel: Perform Kernel Regression on Time Series Data
In rpatrec: Recognising Visual Charting Patterns in Time Series Data

Description Usage Arguments Details Value Examples

Perform kernel regression in line with Lo et al. (2000). Either specify a bandwidth or let it be determined automatically.

1	kernel(input, bandwidth = "auto")

`input`	Vector of Time Series Data
`bandwidth`	numerical Choice of Bandwith `'auto'` Choose bandwith automatically by Cross Validation for the given sample

For an overview of the package capabilities, click here rpatrec.

Vector containing smoothed time series data, prints the bandwidth used.

## Not run: 
#create a standard HS pattern:
a <- generator()
#add noise to this patterns
b <- noise(a,'white',10)
#smooth to regain the signal
c <- kernel(b,2)

## End(Not run)