API

ash!(o::Ash; kw...)
ash!(o::Ash, newdata; kw...)

Update an Ash estimate with new data, smoothing parameter (keyword m), or kernel (keyword kernel):

Univariate Ash

ash(x; kw...)

Fit an average shifted histogram to data x. Keyword options are:

• rng : values over which the density will be estimated
• m : Number of adjacent histograms to smooth over
• kernel : kernel used to smooth the estimate

Bivariate Ash

ash(x, y; kw...)

Fit a bivariate averaged shifted histogram to data vectors x and y. Keyword options are:

• rngx : x values where density will be estimated
• rngy : y values where density will be estimated
• mx : smoothing parameter in x direction
• my : smoothing parameter in y direction
• kernelx : kernel in x direction
• kernely : kernel in y direction

Mutating an Ash object

Ash objectes can be updated with new data, smoothing parameter(s), or kernel(s). They cannot, however, change the ranges over which the density is estimated. It is therefore suggested to err on the side of caution when choosing data endpoints.

# univariate
ash!(obj; kw...)
ash!(obj, newx, kw...)

# bivariate
ash!(obj; kw...)
ash!(obj, newx, newy; kw...)

cdf(o::Ash, x::Real)

Return the estimated cumulative density at the point x.

extendrange(x, s = .5, n = 200)

Create a range of length n starting at s standard deviations below minimum(x) and ending at s standard deviations above maximum(x)

return the histogram values as a density (integrates to 1)

return the number of observations that fell outside of the histogram range

pdf(o::Ash, x::Real)

Return the estimated density at the point x.

pdf(o::Ash2, x::Real, y::Real)

Return the estimated density at the point (x, y).

return the range and density of a univariate ASH

return ranges and density of biviariate ASH

return the number of observations