.-
help for ^lprplot^ (statalist: 18aug1998)
.-
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@