NEWS


grattan 2024.1.0

grattan 2024.0.0 (2023-12-20)

grattan 2023.1.2 (2023-12-08)

grattan 2023.1

grattan 2023.0

grattan 2.0.0.0 (2022-06-27)

Breaking changes

API changes

Other changes

grattan 1.9.0.10 (2022-01-10)

Breaking changes anticipated in 2.0.0.0

grattan 1.9.0.8

grattan 1.9.0.0 (2020-07-13)

New features

Data

Internal:

grattan 1.8.0.1 (2020-03-16)

Bug fixes

Data

grattan 1.7.1.4

grattan 1.7.1.3

grattan 1.7.1.1 (2019-05-02)

grattan 1.7.1.0 (2019-03-23)

Bug fixes

New functions:

Enhancements:

Internal

grattan 1.7.0.0 (2018-10-16)

Bug fixes

New features

Enhancements

set.seed(19952010)
from_fys <- sample(yr2fy(1995:2010), size = 1e6, replace = TRUE)
microbenchmark(cpi_inflator(from_fy = from_fys, to_fy = "2015-16"))
# Old
Unit: seconds
                                                expr      min      lq     mean   median       uq
 cpi_inflator(from_fy = from_fys, to_fy = "2015-16") 1.519483 1.54438 1.550628 1.549735 1.554507
      max neval
 1.661502   100
 
# New
Unit: milliseconds
                                                expr      min       lq     mean   median       uq
 cpi_inflator(from_fy = from_fys, to_fy = "2015-16") 40.71753 41.94061 47.93162 42.93946 48.08461
      max neval
 191.3497   100

Potentially breaking changes

  #> Last change: NAMESPACE at 2018-08-19 14:47:14 (4 mins ago).
  #> Unit: milliseconds
  #>       expr min  lq mean median  uq max neval cld
  #>   yr2fy(z)  75  88   98     90 101 161   100  a 
  #>  .yr2fy(z) 274 286  298    297 302 359   100   b

Use yr2fy(x, assume1901_2100 = FALSE) if you need the old behaviour.

Misc/Internal

grattan 1.6.0.0 (2018-05-28)

2018-05-08

grattan 1.5.3.6

2018-02-21

grattan 1.5.3.1 (2018-01-21)

2018-01-22

New features:

Other user-visible changes

Data:

Other changes

grattan 1.5.2.5 (2017-11-16)

2017-11-16

2017-10-27

grattan 1.5.2.3

2017-10-21

grattan 1.5.2.0

2017-10-19

grattan 1.5.1.2 (2017-08-30)

2017-10-15

2017-08-30

2017-08-16

2017-07-02