R: Test for zero partial association

pcor.test {ggm} | R Documentation

## Test for zero partial association

### Description

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

### Usage

    pcor.test(r, q, n)

### Arguments

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

### Value

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

### Author(s)

Giovanni M. Marchetti

### See Also

`pcor`, `shipley.test`

### Examples

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

[Package ggm version 2.3 Index]