Description
Inflators for Australian Policy Analysis.
Description
Using Australian Bureau of Statistics indices, provides functions that convert historical, nominal statistics to real, contemporary values without worrying about date input quality, performance, or the ABS catalogue.
README.md
grattanInflators
Utility package for CPI and other inflators.
Benchmarks
x <- rep_len(fy::yr2fy(1999:2020), 1e7)
system_time(grattan::cpi_inflator(, x, "2019-20"))
## process real
## 531ms 482ms
system_time(cpi_inflator(x, "2019-20"))
## process real
## 438ms 439ms
system_time(cpi_inflator(x, "2019-20", nThread = 4L))
## process real
## 391ms 114ms
y <- dqrng::dqsample(x)
system_time(grattan::cpi_inflator(, x, y))
## process real
## 24.3s 21.1s
system_time(cpi_inflator(x, y, nThread = 4L))
## process real
## 984ms 241ms
x <- rep_len(x, 1e8)
system_time(cpi_inflator(x, "2019-20", nThread = 4L))
## process real
## 4.61s 1.25s
x <- y <- NULL
x <- seq(as.Date("1999-01-01"), as.Date("2020-01-01"), by = "1 day")
x <- rep_len(x, 1e7)
system_time(cpi_inflator(x, "2019-01-01"))
## process real
## 297ms 311ms
x <- rep_len(x, 1e8)
system_time(cpi_inflator(x, "2019-01-01", nThread = 4L))
## process real
## 3.67s 1.29s
x <- as.IDate(x)
system_time(cpi_inflator(x, as.IDate("2019-01-01"), nThread = 4L))
## process real
## 2.66s 905.37ms