MLOWESS: Stata module for lowess smoothing with multiple predictors

Nicholas Cox

Statistical Software Components from Boston College Department of Economics

Abstract: mlowess computes lowess smooths of a response on specified predictors simultaneously; that is, each smooth is adjusted for the others. Fitted values may be saved in new variables. By default, adjusted values of the response and the lowess smooth are plotted against each predictor. The approach is based on methodology for generalised additive models, but mlowess is primarily intended for exploratory graphics, rather than model fitting with inferential apparatus.

Language: Stata
Requires: Stata version 8
Keywords: lowess; generalised additive models; nonparametric regression; graphics (search for similar items in EconPapers)
Date: 2006-10-17
Note: This module should be installed from within Stata by typing "ssc install mlowess". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/m/mlowess.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mlowess.hlp help file (text/plain)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s456777

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