pred_se: Prediction and Standard errors for models
In alexWhitworth/concord: Code for prediction of concord models

Description Usage Arguments Value

Create point predictions and their standard errors for a list of models and newdata data frames. Predictions are specific to merMod-class objects and specific to this project.

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pred_se(obj.list, newdata.list, allow.new.levels = rep(TRUE, 3), trans.func,
  alpha = 0.05, R.slope = rep("none", 3), title = rep(FALSE, 3),
  level3 = rep(FALSE, 3), usa = rep(FALSE, 3))

`obj.list`	A list of model objects of class merMod-class
`newdata.list`	A list of newdata data.frames matching the models above on which predictions are desired
`allow.new.levels`	Logical. Should new random effects levels be allowed? Defaults to TRUE
`trans.func`	A list of reverse transformation functions.
`alpha`	A numeric scalar. The signigance level desired for Standard Errors. Defaults to 0.05
`R.slope`	A character vector denoting the random slopes of the models. In `c("none", "xmas", "mf_day", "both")`
`title`	A logical vector denoting if the level-2 grouping variable is at the 'title' level. Defaults to FALSE
`level3`	A logical vector denoting if the models are 3-level models. Defaults to FALSE