Generic S3 method for checking data based on model type

Called by bmm() to automatically perform checks on the data depending on the model type. It will call the appropriate check_data methods based on the list of classes defined in the .model_* functions. For models with several classes listed, it will call the functions in the order they are listed. Thus, any operations that are common to a group of models should be defined in the appropriate check_data.* function, where \* corresponds to the shared class. For example, for the .model_imm_abc model, this corresponds to the following order of check_data.* functions: check_data() -> check_data.circular(), check_data.non_targets() the output of the final function is returned to bmm().

Usage

check_data(model, data, formula)

Arguments

model

A model list object returned from check_model()

data

The user supplied data.frame containing the data to be checked

formula

The user supplied formula

Value

A data.frame with the same number of rows as the input data, but with additional columns added as necessary, any necessary transformations applied, and attributes added to the data.frame for later use. If you need to reuse variables created by the check_data.* functions in subsequent stages (e.g. in configure_model()), you can store and access them using the attr() function.

Examples

data <- oberauer_lin_2017
model <- sdmSimple(resp_error = "dev_rad")
#> Warning: The function `sdmSimple()` is deprecated. Please use `sdm()` instead.
formula <- bmf(c ~ 1, kappa ~ 1)
checked_data <- check_data(model, data, formula)