.-
help for ^clfit^
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Generate diagnostic statistics after ^clogit^
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	^clfit^ [^,^ ^hat(^newvar^)^ ^db^eta^(^newvar^)^ ^dx2(^newvar^)^ ^gdb^eta^(^newvar^)^
		^gdx2(^newvar^)^ ^graph^ graph_options *]


^clfit^ is for use after ^clogit^ only; see help ^clogit^.


Description
-----------

^clfit^ generates diagnostic statistics after ^clogit^ for 1-M matched
data.  By default, the new generated diagnostic statistics are:

	_hat 			Leverage
	_dx2 			lack of fit diagnostic
	_dbeta			Delta-Beta influence statistics
	_gbx2			Lack of fit diagnostic for each group
	_gdbeta			Delta-Beta influence statistics for each group
	
^clfit^ will also graph the Delta-Beta influence statistics versus the 
predicted Pr(outcome|single outcome w/i group) if the ^graph^ option is 
specified. 


Options
-------

^hat(^newvar^)^ specifies the name of the new variable to save the leverage. By 
    default it is ^_hat^.

^dx2(^newvar^)^ specifies the name of the new variable to save the lack of fit
    diagnostic. By default it is ^_dx2^.

^db^eta^(^newvar^)^ specifies the name of the new variable to save the Delta-Beta
    influence statistics. By default it is ^_dbeta^.

^gdx2(^newvar^)^ specifies the name of the new variable to save the lack of fit
    diagnostic for each group. By default it is ^_gdx2^.

^gdb^eta^(^newvar^)^ specifies the name of the new variable to save the Delta-Beta
    influence statistics for each group. By default it is ^_gdbeta^.

graph_options are any of the options allowed with ^graph, twoway^; see help 
    ^grtwoway^. 


Examples
--------

 . ^clogit y x, group(z)^
 . ^clfit, hat(myhat) dx2(mydx2) db(mydb) gdx2(mygdx2) gdb(mygdb) graph^


Also see
--------

 Manual: ^[R] clogit^
On-line: help for ^clogit^
