Description Usage Arguments Value Author(s) Examples

Multi-collinearity Visualization

1 2 3 4 5 6 7 | ```
mcvis(
X,
sampling_method = "bootstrap",
standardise_method = "studentise",
times = 1000L,
k = 10L
)
``` |

`X` |
A matrix of regressors (without intercept terms). |

`sampling_method` |
The resampling method for the data. Currently supports 'bootstrap' or 'cv' (cross-validation). |

`standardise_method` |
The standardisation method for the data. Currently supports 'euclidean' (default, centered by mean and divide by Euclidiean length) and 'studentise' (centred by mean and divide by standard deviation) |

`times` |
Number of resampling runs we perform. Default is set to 1000. |

`k` |
Number of partitions in averaging the MC-index. Default is set to 10. |

A list of outputs:

t_square:The t^2 statistics for the regression between the VIFs and the tau's.

MC:The MC-indices

col_names:Column names (export for plotting purposes)

Chen Lin, Kevin Wang, Samuel Mueller

1 2 3 4 5 6 7 |

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