fabletools unpack_hilo() not working

[evphil88]

unpack_hilo no longer seems to be working. After fitting a model I get the error

Error in tidyr::unpack():
! Can't rename variables in this context.

After running the code

fit<-ts_data_full%>%model(ARIMA(Total_Data~pdq(2,1,1)+PDQ(0,1,1)))
fc.2<-fit%>%forecast(h=12)%>%hilo(level=80)%>%unpack_hilo("80%")

The model object is fine. Passing the model object to hilo() produces no errors. Generating a graph of the model produces no errors.

However, unpack_hilo() no longer works since the last time I ran it in fall 22'.

[robjhyndman]

This is due to a change in tidyr v1.3.0, reported here: unpack_hilo() not working with tidyr v1.3.0 · Issue #376 · tidyverts/fabletools · GitHub

Instead of using unpack_hilo(), you can simply use $ notation to refer to the upper and lower limits like this:

library(fpp3)
#> ── Attaching packages ─────────────────────────────────────── fpp3 0.4.0.9000 ──
#> ✔ tibble      3.1.8          ✔ tsibble     1.1.3     
#> ✔ dplyr       1.1.0          ✔ tsibbledata 0.4.1     
#> ✔ tidyr       1.3.0          ✔ feasts      0.3.0     
#> ✔ lubridate   1.9.1          ✔ fable       0.3.2     
#> ✔ ggplot2     3.4.0          ✔ fabletools  0.3.2.9000
#> ── Conflicts ───────────────────────────────────────────────── fpp3_conflicts ──
#> ✖ lubridate::date()    masks base::date()
#> ✖ dplyr::filter()      masks stats::filter()
#> ✖ tsibble::intersect() masks base::intersect()
#> ✖ tsibble::interval()  masks lubridate::interval()
#> ✖ dplyr::lag()         masks stats::lag()
#> ✖ tsibble::setdiff()   masks base::setdiff()
#> ✖ tsibble::union()     masks base::union()
as_tsibble(lynx) |> 
  model(ARIMA(value)) |> 
  forecast(h=10) |> 
  hilo(level=80) |> 
  mutate(
    lower = `80%`$lower,
    upper = `80%`$upper
  )
#> # A tsibble: 10 x 7 [1Y]
#> # Key:       .model [1]
#>    .model     index            value .mean                    `80%`  lower upper
#>    <chr>      <dbl>           <dist> <dbl>                   <hilo>  <dbl> <dbl>
#>  1 ARIMA(val…  1935  N(2990, 761965) 2990. [ 1871.2360, 4108.585]80  1871. 4109.
#>  2 ARIMA(val…  1936 N(2093, 1751057) 2093. [  397.6326, 3789.323]80   398. 3789.
#>  3 ARIMA(val…  1937   N(1307, 2e+06) 1307. [ -516.0692, 3130.687]80  -516. 3131.
#>  4 ARIMA(val…  1938    N(856, 2e+06)  856. [ -967.5900, 2680.057]80  -968. 2680.
#>  5 ARIMA(val…  1939  N(781, 2121434)  781. [-1086.0147, 2647.182]80 -1086. 2647.
#>  6 ARIMA(val…  1940  N(983, 2312638)  983. [ -965.9078, 2931.896]80  -966. 2932.
#>  7 ARIMA(val…  1941 N(1306, 2455486) 1306. [ -702.5723, 3313.808]80  -703. 3314.
#>  8 ARIMA(val…  1942 N(1602, 2500687) 1602. [ -424.3716, 3628.807]80  -424. 3629.
#>  9 ARIMA(val…  1943 N(1783, 2501627) 1783. [ -244.0798, 3809.860]80  -244. 3810.
#> 10 ARIMA(val…  1944 N(1826, 2512051) 1826. [ -205.6736, 3856.705]80  -206. 3857.

^{Created on 2023-02-06 with reprex v2.0.2}

[evphil88]

That works. Thank you for the reply.