mvregrid: Multivariate regridding

In emmeans: Estimated Marginal Means, aka Least-Squares Means

Multivariate regridding

Description

This function is similar to regrid except it performs a multivariate transformation. This is useful, for instance, in multivariate models that have a compositional response.

Usage

mvregrid(object, newname = "component", newlevs = seq_len(ncol(newy)),
  mult.name = names(levels)[length(levels)], fcn = paste0(tran, "Inv"),
  ...)

Arguments

object	An emmGrid object
newname	The name to give to the newly created multivariate factor
newlevs	Character levels of the newly created factor (must conform to the number of columns created by fcn)
mult.name	The name of the multivariate factor to be transformed. By default, we use the last factor
fcn	The multivariate function to apply. If character, we look for it in the namespace of the compositions package.
...	Additional arguments passed to fcn

Details

If a multivariate response transformation was used in fitting the model, its name is auto-detected, and in that case we need not specify fcn as long as its inverse can be found in the namespace of the compositions package. (That package need not be installed unless fcn is a character value.) For some such models, auto-detection process throws a warning message, especially if cbind is also present in the model formula.

Currently, no bias-adjustment option is available.

Value

A new emmGrid object with the newly created factor as its last factor

Examples

if(requireNamespace("compositions"))
    emm_example("mvregrid")
    # Use emm_example("mvregrid", list = TRUE) # to see just the code

emmeans documentation built on Oct. 14, 2024, 5:07 p.m.