# [R] How is MissInfo calculated? (mitools)

David Winsemius dwinsemius at comcast.net
Sun Nov 7 20:29:18 CET 2010

```On Nov 7, 2010, at 1:24 PM, Robin Jeffries wrote:

> What does missInfo compute

help(package=mitools)

And some obvious Goggling ("lumley micombine missinfo") produced this
link to a 2005 course syllabus that Lumley (the package author) leaves
online:

http://courses.washington.edu/b570/lectures.html

> and how is it computed?

> methods(MIcombine)
[1] MIcombine.default*

getAnywhere(MIcombine.default)

--
David.

> There is only 1 observation missing the ethnic3 variable. There is
> no other
> missing data.
> N=1409
>
>> summary(MIcombine(mod1))
>
> Multiple imputation results:
>      with(rt.imp, glm(G1 ~ stdage + female + as.factor(ethnic3) + u,
> family = binomial()))
>
>      MIcombine.default(mod1)
>                            results           se
> (lower     upper)        missInfo
> (Intercept)             -0.40895453    0.14743928 -0.70805544
> -0.1098536
> 53 %
> stdage                   0.13991360    0.06046537  0.02140364
> 0.2584236      0 %
> female                  -0.05587635    0.11083362 -0.27310639
> 0.1613537      0 %
> as.factor(ethnic3)1  0.17297835    0.19556664 -0.21032531
> 0.5562820      0
> %
> as.factor(ethnic3)2  0.63507020    0.18017975  0.28192410
> 0.9882163      0
> %
> u                          -0.01322976    0.18896230 -0.40291914
> 0.3764596     64 %
>
> Thanks,
>
>
> Robin Jeffries
> MS, DrPH Candidate
> Department of Biostatistics
> UCLA
> 530-624-0428
>
> 	[[alternative HTML version deleted]]
>
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