{smcl}
{hline}
help for {hi:vibl}{right:(SJ5-1: st0081)}
{hline}

{title:vibl - VIsualizing Binary Logistic models}

{p 4 4 2}
This is a suite of tools to help you visualize the results
from binary logistic models, all of the tools start with
the funny name {it:vibl} (it rhymes with kibble).
There are two general categories of tools, those
for main effects, vibl{it:m}, and those for interactions
vibl{it:i}. 

{p 4 4 2}
The help files associated with these tools convey the
mechanics of using these tools, but we admit that this is 
probably not enough to understand why the tools would be 
useful. For additional information, we recommend seeing 
our {browse www.ats.ucla.edu/stat/seminars:Seminar Page}
and then seeing the Stata seminar on 
{it:Visualizing Main Effects and Interactions for Binary Logit Models in Stata}.

{p 4 4 2}
The tools for visualizing binary logistic models focusing on main effects
are.

{p 4 8 2}
{help viblmdb} This is a point and click dialog box (db) 
for exploring main effects.

{p 4 8 2}
{help viblmgraph} This is command based program for creating graphs
illustrating main effects.

{p 4 8 2}
{help viblmcc} This is command for computing "covariate contributions",
a concept developed in the seminar noted above.

{p 4 4 2}
The tools for visualizing binary logistic models focusing on interactions are.

{p 4 8 2}
{help viblidb} This is a point and click dialog box (db) 
for exploring interactions.

{p 4 8 2}
{help vibligraph} This is command based program for creating graphs
illustrating interactions.

{p 4 8 2}
{help viblicc} This is command for computing "covariate contributions",
a concept developed in the seminar noted above.


{title:Authors}

        Michael Mitchell and Xiao Chen 
        UCLA Academic Technology Services
        mnm@ucla.edu & jingy1@ucla.edu
{p_end}
