squiggle/src/distPlus/samplesRenderer/Bandwidth.re
2020-11-13 00:08:35 -08:00

30 lines
1008 B
ReasonML

//The math here was taken from https://github.com/jasondavies/science.js/blob/master/src/stats/bandwidth.js
let len = x => E.A.length(x) |> float_of_int;
let iqr = x => {
Jstat.percentile(x, 0.75, true) -. Jstat.percentile(x, 0.25, true);
};
// Silverman, B. W. (1986) Density Estimation. London: Chapman and Hall.
let nrd0 = x => {
let hi = Js_math.sqrt(Jstat.variance(x));
let lo = Js_math.minMany_float([|hi, iqr(x) /. 1.34|]);
let e = Js_math.abs_float(x[1]);
let lo' =
switch (lo, hi, e) {
| (lo, _, _) when !Js.Float.isNaN(lo) => lo
| (_, hi, _) when !Js.Float.isNaN(hi) => hi
| (_, _, e) when !Js.Float.isNaN(e) => e
| _ => 1.0
};
0.9 *. lo' *. Js.Math.pow_float(~base=len(x), ~exp=-0.2);
};
// Scott, D. W. (1992) Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley.
let nrd = x => {
let h = iqr(x) /. 1.34;
1.06
*. Js.Math.min_float(Js.Math.sqrt(Jstat.variance(x)), h)
*. Js.Math.pow_float(~base=len(x), ~exp=(-1.0) /. 5.0);
};