Description Usage Arguments Examples

This function use bootstrapping to conduct hypothesis testing for the partial association coefficients. It directly applies onto the "PAsso" class of object generated by "PAsso".

1 |

`object` |
An object of "PAsso" class, which is generated by "PAsso" function. |

`bootstrap_rep` |
The number of bootstrap replications. It may be slow. |

`H0` |
null hypothesis of partial correlation coefficient. |

`parallel` |
logical argument whether conduct parallel for bootstrapping partial association. |

1 2 3 4 5 6 7 8 9 10 11 | ```
# Import ANES2016 data in "PAsso"
data(ANES2016)
# Parial association:
PAsso_2v <- PAsso(responses = c("PreVote.num", "PID"),
adjustments = c("income.num", "age", "edu.year"),
data = ANES2016)
summary(PAsso_2v, digits=4)
PAsso_2v_test <- test(object = PAsso_2v, bootstrap_rep=20, H0=0, parallel=FALSE)
PAsso_2v_test
``` |

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