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MLOWESS: Stata module for lowess smoothing with multiple predictors

Author

Listed:
  • Nicholas J. Cox

    (Durham University)

Programming Language

Stata

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.

Suggested Citation

  • Nicholas J. Cox, 2006. "MLOWESS: Stata module for lowess smoothing with multiple predictors," Statistical Software Components S456777, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s456777
    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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/m/mlowess.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/m/mlowess.hlp
    File Function: help file
    Download Restriction: no
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