Description Usage Arguments Value

Compute model-adjusted predictions (fitted values) for a "grid" of regressor values.

1 2 3 4 5 6 7 8 | ```
predictions(
model,
variables = NULL,
newdata = NULL,
conf.level = 0.95,
type = "response",
...
)
``` |

`model` |
Model object |

`variables` |
Character vector. Compute Adjusted Predictions for
combinations of each of these variables. Factor levels are considered at
each of their levels. Numeric variables variables are considered at Tukey's
Five-Number Summaries. |

`newdata` |
A dataset over which to compute adjusted predictions. |

`conf.level` |
The confidence level to use for the confidence interval.
No interval is computed if |

`type` |
Type(s) of prediction as string or vector This can differ based on the model type, but will typically be a string such as: "response", "link", "probs", or "zero". |

`...` |
Additional arguments are pushed forward to |

A `data.frame`

with a `predicted`

column with predictions.

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