Refitted model with reconcile() cannot be forecasted

[jy-r]

After the model is refitted with refit() on new data, it seems to lose attributes method and sparse which causes error in forecast.lst_mint_mdl here . The problem appears to be in refit.mdl_df, where the attributes are lost.

library(tsibble)
library(fabletools)
library(fable)
lung_deaths_agg <- 	as_tsibble(cbind(mdeaths, fdeaths)) %>%
  aggregate_key(key, value = sum(value))

fit <- lung_deaths_agg %>%
  model(lm = TSLM(value ~ trend() + season())) %>%
  reconcile(lm = min_trace(lm)) 

fit_refit <- fit %>% refit(lung_deaths_agg)

fit %>% forecast()
fit_refit %>% forecast()

Error: Problem with `mutate()` input `lm`.
✖ argument is of length zero
ℹ Input `lm` is `(function (object, ...) ...`.
Run `rlang::last_error()` to see where the error occurred.

[mitchelloharawild]

Fixed, thanks!