Description Usage Arguments Details Value Examples

the AIC comparison with Modified Box-Cox Transformation (ABC) is a diagnostic procedure to help select among various additive and multiplicative models

1 | ```
abc(y, g, x = 0)
``` |

`y` |
the raw posttest scores of a continuous outcome variable. |

`g` |
the categorical variable that denotes the group membership. |

`x` |
(optional) the raw pretest scores of a continuous outcome variable. |

When only 'y' and 'g' are specified, the ABC procedure compares LANOVA and ANOVA models. When 'x' is also specified, the ABC procedure compares LANCOVA, ANCOVA, ANCOHET, and ANCOVA with log-transformed y.

AIC results of different models. The model with smallest AIC is preferred.

1 2 3 4 |

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