Description Usage Arguments Details Value Author(s) References See Also Examples
Computes a simultaneous test of all independence relationships implied by a given Gaussian model defined according to a directed acyclic graph, based on the sample covariance matrix.
1 | shipley.test(amat, S, n)
|
amat |
a square Boolean matrix, of the same dimension as |
S |
a symmetric positive definite matrix, the sample covariance matrix. |
n |
a positive integer, the sample size. |
The test statistic is C = -2 ∑ \ln p_j where p_j are the
p-values of tests of conditional independence in the basis set
computed by basiSet(A)
. The p-values are independent
uniform variables on (0,1) and the statistic has exactly a
chi square distribution on 2k degrees of freedom where
k is the number of elements of the basis set.
Shipley (2002) calls this test Fisher's C test.
ctest |
Test statistic C. |
df |
Degrees of freedom. |
pvalue |
The P-value of the test, assuming a two-sided alternative. |
Giovanni M. Marchetti
Shipley, B. (2000). A new inferential test for path models based on directed acyclic graphs. Structural Equation Modeling, 7(2), 206–218.
1 2 3 4 5 |
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':
union
Attaching package: 'ggm'
The following object is masked from 'package:igraph':
pa
$ctest
[1] 2.850461
$df
[1] 8
$pvalue
[1] 0.9433884
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