Print the output of
`cond_indirect_diff()`

.

## Usage

```
# S3 method for cond_indirect_diff
print(x, digits = 3, pvalue = FALSE, pvalue_digits = 3, se = FALSE, ...)
```

## Arguments

- x
The output of

`cond_indirect_diff()`

.- digits
The number of decimal places in the printout.

- pvalue
Logical. If

`TRUE`

, asymmetric*p*-value based on bootstrapping will be printed if available. Default is`FALSE.`

- pvalue_digits
Number of decimal places to display for the

*p*-value. Default is 3.- se
Logical. If

`TRUE`

and confidence intervals are available, the standard errors of the estimates are also printed. They are simply the standard deviations of the bootstrap estimates or Monte Carlo simulated values, depending on the method used to form the confidence intervals.- ...
Optional arguments. Ignored.

## Details

The `print`

method of the
`cond_indirect_diff`

-class object.

If bootstrapping confidence interval
was requested, this method has the
option to print a
*p*-value computed by the
method presented in Asparouhov and Muthén (2021).
Note that this *p*-value is asymmetric
bootstrap *p*-value based on the
distribution of the bootstrap estimates.
It is not computed based on the
distribution under the null hypothesis.

For a *p*-value of *a*, it means that
a 100(1 - *a*)% bootstrapping confidence
interval
will have one of its limits equal to
0. A confidence interval
with a higher confidence level will
include zero, while a confidence
interval with a lower confidence level
will exclude zero.

## References

Asparouhov, A., & Muthén, B. (2021). Bootstrap p-value computation. Retrieved from https://www.statmodel.com/download/FAQ-Bootstrap%20-%20Pvalue.pdf