class-date_tbl: 'date_tbl': A 'tibble' with a 'date' Attribute
In jesse-smith/covidsms: What the Package Does (One Line, Title Case)

Description Usage Arguments Value

date_tbl() is a subclass of tibble that stores a date attribute as metadata. This is useful, for example, in tracking the report date of a dataset.

as_date_tbl() converts an object to a date_tbl

is_date_tbl() tests whether an object is a date_tbl

new_date_tbl() constructs a date_tbl from a tibble-like object and a date with minimal checking

validate_date_tbl() validates the properties of a date_tbl

as_date_tbl(
  x,
  date,
  .rows = NULL,
  .name_repair = c("check_unique", "unique", "universal", "minimal"),
  rownames = pkgconfig::get_config("tibble::rownames", NULL)
)

is_date_tbl(x)

new_date_tbl(x, date, nrow = vctrs::vec_size(x))

validate_date_tbl(x)

`x`	A `date_tbl`, `tibble`-like object, or an object to test for inheritance from `date_tbl`. In `as_date_tbl()`, this can be anything coercable to a `tibble`; `new_date_tbl()` does less work and is somewhat stricter about the input. `is_date_tbl()` and `validate_date_tbl()` will take any object, but will return `FALSE` or an error (respectively) if the object is not a properly created `date_tbl`.
`date`	A `Date` or datetime (`POSIXt`) object of length 1
`.rows`	The number of rows, useful to create a 0-column tibble or just as an additional check.
`.name_repair`	Treatment of problematic column names: `"minimal"`: No name repair or checks, beyond basic existence, `"unique"`: Make sure names are unique and not empty, `"check_unique"`: (default value), no name repair, but check they are `unique`, `"universal"`: Make the names `unique` and syntactic a function: apply custom name repair (e.g., `.name_repair = make.names` for names in the style of base R). A purrr-style anonymous function, see `rlang::as_function()` This argument is passed on as `repair` to `vctrs::vec_as_names()`. See there for more details on these terms and the strategies used to enforce them.
`rownames`	How to treat existing row names of a data frame or matrix: `NULL`: remove row names. This is the default. `NA`: keep row names. A string: the name of a new column. Existing rownames are transferred into this column and the `row.names` attribute is deleted. Read more in rownames.
`nrow`	The number of rows, required.