mists-polish-auto: Automate missing data polishing for tsibble
In earowang/mists: Missingness of Temporal Data

Description Usage Arguments See Also Examples

It is an iterative process for minimising the loss until a tolerance value.

na_polish_auto() returns the polished data.
na_polish_autotrace() returns a tibble for documenting the steps and metrics.

na_polish_auto(data, cutoff, tol = 0.1, funs = na_polish_funs(),
  quiet = FALSE)

na_polish_autotrace(data, cutoff, tol = 0.1, funs = na_polish_funs(),
  quiet = FALSE)

`data`	A tsibble.
`cutoff`	Numerics of length 1 or length of `funs` between 0 and 1.
`tol`	A tolerance value close or equal to zero as stopping rule. It compares to the loss defined as `(1 - prop_na) * prop_removed` to be minimised. See `na_polish_metrics()` for details.
`funs`	A list of `na_polish_*()` functions to go through. By default, `na_polish_funs()` contains "measures", "key", "index", and "index2".
`quiet`	If `FALSE`, report metrics at each step and pass of the polishing process. It requires the "cliapp" package to be installed.

Other missing value polishing functions: na_polish_measures, na_polish_metrics

## Not run: 
wdi_ts <- tsibble::as_tsibble(wdi, key = country_code, index = year)
wdi_after <- na_polish_auto(wdi_ts, cutoff = .8)
na_polish_metrics(wdi_ts, wdi_after)

# Trace down `na_polish_auto()`
na_polish_autotrace(wdi_ts, cutoff = .8, quiet = TRUE)

## End(Not run)