Contrast analysis. See the documentation for your object's class:

estimate_contrasts(
model,
levels = NULL,
fixed = NULL,
modulate = NULL,
transform = "none",
length = 10,
standardize = TRUE,
standardize_robust = FALSE,
...
)

## Arguments

model |
A statistical model. |

levels |
A character vector or formula specifying the names of the
predictors over which to estimate means or contrasts. |

fixed |
A character vector indicating the names of the predictors to be
"fixed" (i.e., maintained), so that the estimation is made at these values. |

modulate |
A character vector indicating the names of a numeric variable
along which the means or the contrasts will be estimated. Adjust its length
using `length` . |

transform |
Can be `"none"` (default for contrasts),
`"response"` (default for means), `"mu"` , `"unlink"` ,
`"log"` . `"none"` will leave the values on scale of the linear
predictors. `"response"` will transform them on scale of the response
variable. Thus for a logistic model, `"none"` will give estimations
expressed in log-odds (probabilities on logit scale) and `"response"`
in terms of probabilities. |

length |
Length of the spread numeric variables. |

standardize |
If `TRUE` , adds standardized differences or
coefficients. |

standardize_robust |
Robust standardization through `MAD` (Median
Absolute Deviation, a robust estimate of SD) instead of regular `SD` . |

... |
Arguments passed to or from other methods. |

## Value

A data frame of estimated contrasts.