curl, dplyr, dtplyr, fst (>= 0.8.4), future, future.apply,
ggplot2, ggrepel, knitr, lattice, mgcv, rlang, rmarkdown,
scales, survey, taxstats, taxstats1516, testthat, tibble,
viridis, yaml, withr, covr

data.table, hutils (>= 1.3.0), ineq (>= 0.2-10), rsdmx,
fastmatch, forecast, fy (>= 0.2.0), assertthat (>= 0.1),
magrittr (>= 1.5), Rcpp (>= 0.12.3), utils, zoo (>= 1.5-5)

Utilities to cost and evaluate Australian tax policy, including fast
projections of personal income tax collections, high-performance tax and
transfer calculators, and an interface to common indices from the Australian
Bureau of Statistics.  Written to support Grattan Institute's Australian
Perspectives program, and related projects. Access to the Australian Taxation
Office's sample files of personal income tax returns is assumed.
curl, dplyr, dtplyr, fst (>= 0.8.4), future, future.apply,
ggplot2, ggrepel, hutilscpp, knitr, lattice, mgcv, rlang,
rmarkdown, rsdmx, scales, survey, taxstats, taxstats1516,
testthat, tibble, viridis, yaml, withr, covr

checkmate, data.table, hutils (>= 1.3.0), hutilscpp, ineq (>=
0.2-10), fastmatch, forecast, fy (>= 0.2.0), assertthat (>=
0.1), magrittr (>= 1.5), Rcpp (>= 0.12.3), utils, zoo (>=
1.5-5)
curl, dplyr, dtplyr, fst (>= 0.8.4), future, future.apply,
ggplot2, ggrepel, knitr, lattice, mgcv, rlang, rmarkdown,
rsdmx, scales, survey, taxstats, taxstats1516, testthat,
tibble, viridis, yaml, withr, covr

data.table, hutils (>= 1.3.0), ineq (>= 0.2-10), fastmatch,
forecast, fy (>= 0.2.0), hutilscpp, assertthat (>= 0.1),
magrittr (>= 1.5), Rcpp (>= 0.12.3), utils, zoo (>= 1.5-5)

checkmate, data.table, hutils (>= 1.3.0), hutilscpp (>=
0.9.0), ineq (>= 0.2-10), fastmatch, forecast, fy (>= 0.2.0),
assertthat (>= 0.1), magrittr (>= 1.5), utils, zoo (>= 1.5-5)
curl, fst (>= 0.8.4), knitr, rlang, rmarkdown, rsdmx, scales,
survey, taxstats, taxstats1516, testthat, tibble, yaml, withr,
covr

Explore Probability Distributions for Bivariate Temporal
Granularities
c(person(given = "Sayani",
family = "Gupta",
role = c("aut", "cre"),
email = "gupta.sayani@gmail.com",
comment = c(ORCID = "0000-0003-0643-5358")),
person(given = "Rob",
family = "Hyndman",
role = c("aut", "ths"),
email="Rob.Hyndman@monash.edu",
comment = c(ORCID = "0000-0002-2140-5352")),
person(given = "Di",
family = "Cook",
role = c("aut", "ths"),
email = "dicook@monash.edu",
comment = c(ORCID = "0000-0002-3813-7155")),
person(given = "Antony",
family = "Unwin",
role = "aut",
email = " unwin@math.uni-augsburg.de",
comment = c(ORCID =  "0000-0002-5841-5757")))
lubridate(>= 1.7.4), dplyr(>= 0.8.0), tsibble (>= 0.8.0),
tibble(>= 2.1.1), rlang(>= 0.3.4), tidyr(>= 0.8.3), ggplot2 (>=
3.1.1), stats, stringr(>= 1.4.0), lvplot, ggridges, shiny,
RColorBrewer, ineq, magrittr, utils
tsibbledata (>= 0.1.0), purrr (>= 0.3.2), testthat (>=
2.1.0), covr, knitr, shinythemes, shinyalert, rmarkdown, readr
Provides tools for systematically exploring large quantities of
temporal data across different temporal granularities
(deconstructions of time) by visualizing probability distributions.
'gravitas' computes circular, aperiodic,
single-order-up or multiple-order-up granularities and
advises on which combinations of granularities to explore
and through which distribution plots.