__init__ ([h]) |
|
density (xs, x) |
Returns the kernel density estimate for point x based on x-values |
density_confint (density, nobs[, alpha]) |
approximate pointwise confidence interval for kernel density |
density_var (density, nobs) |
approximate pointwise variance for kernel density |
geth () |
Getter for kernel bandwidth, h |
in_domain (xs, ys, x) |
Returns the filtered (xs, ys) based on the Kernel domain centred on x |
moments (n) |
|
seth (value) |
Setter for kernel bandwidth, h |
smooth (xs, ys, x) |
Returns the kernel smoothing estimate for point x based on x-values xs and y-values ys. |
smoothconf (xs, ys, x[, alpha]) |
Returns the kernel smoothing estimate with confidence 1sigma bounds |
smoothvar (xs, ys, x) |
Returns the kernel smoothing estimate of the variance at point x. |
weight (x) |
This returns the normalised weight at distance x |