citestmvn  R Documentation 
Test for conditional independence in the multivariate normal distribution.
ciTest_mvn(x, set = NULL, statistic = "DEV", ...)
x 
A list with elements 
set 
A specification of the test to be made. The tests are of
the form u and v are independent condionally on S where u and v
are variables and S is a set of variables. See 'details' for
details about specification of 
statistic 
The test statistic to be used, valid choices are

... 
Additional arguments 
set
can be 1) a vector or 2) a righthand sided formula in
which variables are separated by '+'. In either case, it is tested
if the first two variables in the set
are conditionally
independent given the remaining variables in set
. (Notice
an abuse of the '+' operator in the righthand sided formula: The
order of the variables does matter.)
If set
is NULL
then it is tested whether the first
two variables are conditionally independent given the remaining
variables.
x
must be a list with components cov
and n.obs
such as returned by calling cov.wt( , method='ML')
on a
dataframe.
An object of class citest
(which is a list).
Søren Højsgaard, sorenh@math.aau.dk
ciTest
, ciTest_table
,
ciTest_df
, ciTest_mvn
,
chisq.test
data(carcass)
ciTest(cov.wt(carcass, method='ML'), set=~Fat11 + Meat11 + Fat12)
ciTest_mvn(cov.wt(carcass, method='ML'), set=~Fat11 + Meat11 + Fat12)
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