check_fn_args_comp_mms_var_boot: Assertion Checks for all 'comp_mms_var' function bootstrap...
In shamindras/maars: Tidy Inference Under Misspecified Statistical Models in R

Description Usage Arguments Value Examples

check_fn_args_comp_mms_var_boot is used to assess whether the arguments are correctly specified in list format and returns an error message if they do not match the correct specification

1	check_fn_args_comp_mms_var_boot(boot_emp, boot_sub, boot_res, boot_mul)

`boot_emp`	(list) In the case of empirical bootstrap the expected input is of the form #' `list(B = 10, m = 100)`. Here the named element `m` is optional e.g. `list(B = 10)` is valid, or passed in as an explicit `NULL` e.g. `list(B = 10, m = NULL)`. Note that technically `B, m` should both be positive integers, but this assertion checking is handled explicitly in the `comp_boot_emp` function. So although passing in `list(B = -15, m = -20)` will pass this function without errors, these will be addressed explicitly in `comp_boot_emp` as invalid inputs.
`boot_sub`	(list) TODO: ADD
`boot_res`	(list) : In the case of residual bootstrap the expected input is of the form `list(B = 10)`. Note that technically `B` should be a positive integer, but this assertion checking is handled explicitly in the `comp_boot_res` function. So although passing in `list(B = -15)` will pass this function without errors, these will be addressed explicitly in `comp_boot_res` as invalid inputs.
`boot_mul`	(list) : In the case of multiplier bootstrap the expected input is of the form `list(B = 10, weights_type = "rademacher")`. Here the named element `weights_type` is optional e.g. `list(B = 10)` is valid, or passed in as an explicit `NULL` e.g. `list(B = 10, weights_type = NULL)`. Note that technically `B` should be a positive integer, and `weights_type` should be a character vector (see `comp_boot_mul`), but this assertion checking is handled explicitly in the `comp_boot_mul` function. So although passing in `list(B = -15, m = "test")` will pass this function without errors, these will be addressed explicitly in `comp_boot_mul` as invalid inputs.

A summary statistics tibble for the bootstrap input.

: A TRUE if assertions pass, or an error if there is an assertion failure.

## Not run: 
# Expect all assertions to pass
check_fn_args_comp_mms_var_boot(boot_emp = list(B = 1e4, m = 600),
                            boot_res = NULL,
                            boot_mul = NULL)

## End(Not run)