pred_se: Main wrapper function to calculate margins and standard...
In modmarg: Calculating Marginal Effects and Levels with Errors

Description Usage Arguments

View source: R/pred_se.R

For one set of transformed covariates (not including the variable of interest), calculate the predicted level and standard error for the variable of interest.

pred_se(
  df_levels,
  model,
  type,
  base_rn,
  vcov_mat,
  weights,
  deriv_func,
  link_func
)

`df_levels`	data.frame, already transformed for variables not related to the variable of interest
`model`	model object
`type`	either effects or levels
`base_rn`	numeric, row number of the base level
`vcov_mat`	matrix, variance-covariance matrix
`weights`	vector of weights, or NULL
`deriv_func`	function for the derivative of the predicted outcomes
`link_func`	function to transform output of 'predict' method into response scale