validate_newdata.Rmd

---
title: "``brms::validate_newdata``"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(brms)
```
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
<pre><code>
validate_newdata(newdata, object, re_formula = NULL,
allow_new_levels = FALSE, resp = NULL, check_response = TRUE,
incl_autocor = TRUE, all_group_vars = NULL, ...)
</code></pre>

#### 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, 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.
* `` 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 ARMA autocorrelation parameters should be included in the predictions. Defaults to TRUE. Setting it to FALSE will not affect other correlation structures such as cor_bsts, or cor_fixed.
* ``all_group_vars``: Optional names of grouping variables to be validated. Defaults to all grouping variables in the model.
* ``...``: Currently ignored.

#### Value

A validated 'data.frame' based on newdata.