Logistic regression partial residual plots -------------------------------------------
^lprplot^ indepvar [^,^ ^bw^idth^(^#^)^ graph_options ]
Description ------------
^lprplot^ produces a partial residual plot after ^logistic^ regression. The plot is computed as described in Landwehr, Pregibon, and Shoemaker (1984).
Warning: ^lprplot^ is computationally intensive and may take a long time to run. It uses ^ksm, lowess^ to produce the smoothed plot. Lowess calculations on 1,000 observations, for instance, require estimating 1,000 regressions.
Note: ^lprplot^ will not work if ^logistic^ was used with weights.
Options --------
^bwidth(^#^)^ specifies the bandwidth for smoothing. Default is 0.8. See help @ksm@ for details.
graph_options are any of the options allowed with ^graph, twoway^. See help @graph@.
Examples ---------
. ^logistic y x1 x2 x3^ . ^lprplot x3^
Author -------
Bill Sribney Stata Corporation 702 University Drive East College Station, TX 77840 Phone: 409-696-4600 800-782-8272 Fax: 409-696-4601 email: tech_support@@stata.com
Reference ----------
Landwehr, J.M., D. Pregibon, and A.C. Shoemaker. 1984. Graphical methods for accessing logistic regression models. JASA, 79: 61-71.
Also see ---------
Manual: ^[R] logistic, [R] ksm; [R] fit^ On-line: help for @logistic@, @ksm@, @fit@