validate_newdata: Validate New Data

In brms: Bayesian Regression Models using 'Stan'

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,
  ...
)

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.

Value

A validated 'data.frame' based on newdata.

brms documentation built on Sept. 23, 2024, 5:08 p.m.