pcor.test: Test for zero partial association
In ggm: Graphical Markov Models with Mixed Graphs

Description Usage Arguments Value Author(s) See Also Examples

Test for conditional independence between two variables, given the other ones, assuming a multivariate normal distribution.

1	pcor.test(r, q, n)

`r`	a partial correlation coefficient, computed by `pcor`.
`q`	the number of variables in the conditioning set.
`n`	integer > 0, the sample size.

`tval`	The Student's t-test statistic.
`df`	The degrees of freedom
`pvalue`	The P-value, assuming a two-sided alternative.

Giovanni M. Marchetti

pcor, shipley.test

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2
3

## Are 2,3 independent given 1?
data(marks)
pcor.test(pcor(c(2,3,1), var(marks)), 1, n=88)

Loading required package: igraph

Attaching package: 'igraph'

The following objects are masked from 'package:stats':

    decompose, spectrum

The following object is masked from 'package:base':

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Attaching package: 'ggm'

The following object is masked from 'package:igraph':

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$tval
[1] 4.528232

$df
[1] 85

$pvalue
[1] 1.923857e-05