Skip to content

Adds a reference to the original paper #41

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Dec 2, 2020
Merged

Adds a reference to the original paper #41

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
4425f8a
Adds a reference to the original paper
grero Dec 2, 2020
ec8a7d7
Adds one more reference
grero Dec 2, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 6 additions & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
[![Build Status](https://travis-ci.org/JuliaStats/Loess.jl.svg?branch=master)](https://travis-ci.org/JuliaStats/Loess.jl)

This is a pure Julia loess implementation, based on the fast kd-tree based
approximation described in the original Cleveland, et al papers, implemented
approximation described in the original Cleveland, et al papers[1,2], implemented
in the netlib loess C/Fortran code, and used by many, including in R's loess
function.

Expand Down Expand Up @@ -42,3 +42,8 @@ plot(x=xs, y=ys, Geom.point, Geom.smooth, Guide.xlabel("x"), Guide.ylabel("y"))

Multivariate regression is not yet fully implemented, but most of the parts
are already there, and wouldn't require too much additional work.

## References
[1] William S. Cleveland (1979) Robust Locally Weighted Regression and Smoothing Scatterplots, Journal of the American Statistical Association, 74:368, 829-836, DOI: 10.1080/01621459.1979.10481038

[2] William S. Cleveland & Susan J. Devlin (1988) Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting, Journal of the American Statistical Association, 83:403, 596-610, DOI: 10.1080/01621459.1988.10478639