validate_newdata: Validate New Data

Description

Validate new data passed to post-processing methods of brms. Unless you are a package developer, you will rarely need to call validate_newdata directly.

Usage

validate_newdata(
  newdata,
  object,
  re_formula = NULL,
  allow_new_levels = FALSE,
  newdata2 = NULL,
  resp = NULL,
  check_response = TRUE,
  incl_autocor = TRUE,
  group_vars = NULL,
  req_vars = NULL,
  ...
)

Value

A validated 'data.frame' based on newdata.

Arguments

newdata: A data.frame containing new data to be validated.
object: A brmsfit object.
re_formula: formula containing group-level effects to be considered in the prediction. If NULL (default), include all group-level effects; if NA or ~0, include no group-level effects.
allow_new_levels: A flag indicating if new levels of group-level effects are allowed (defaults to FALSE). Only relevant if newdata is provided.
newdata2: A named list of objects containing new data, which cannot be passed via argument newdata. Required for some objects used in autocorrelation structures, or stanvars.
resp: Optional names of response variables. If specified, predictions are performed only for the specified response variables.
check_response: Logical; Indicates if response variables should be checked as well. Defaults to TRUE.
incl_autocor: A flag indicating if correlation structures originally specified via autocor should be included in the predictions. Defaults to TRUE.
group_vars: Optional names of grouping variables to be validated. Defaults to all grouping variables in the model.
req_vars: Optional names of variables required in newdata. If NULL (the default), all variables in the original data are required (unless ignored for some other reason).
...: Currently ignored.