From d46dd064503f505e61542d7b3465d05bfad4696b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jakub=20=C5=9Al=C4=99zak?= <128084860+jaksle@users.noreply.github.com> Date: Tue, 16 Jan 2024 13:36:20 +0100 Subject: [PATCH] Update src/univariate.jl Co-authored-by: Tamas K. Papp --- src/univariate.jl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/univariate.jl b/src/univariate.jl index d9dae572..242f1a92 100644 --- a/src/univariate.jl +++ b/src/univariate.jl @@ -155,7 +155,7 @@ end Kernel density estimation method. Returns 1D or 2D KDE object. The grid used and the values of the estimated density can be obtained from fields `.x` and `.density` respectively. To obtain kde values at points different than the initial grid use the `pdf` method. -The optional keyword arguments are +The keyword arguments are * `boundary`: the lower and upper limits of the kde, tuple in 1D case, tuple of tuples in 2D case, * `npoints`: the number of interpolation points to use, * `kernel = Normal`: the distributional family from [Distributions.jl](https://github.com/JuliaStats/Distributions.jl),