TidyDensity 1.3.0

Breaking Changes

1. Fix #350 - This has caused the function tidy_multi_single_dist() to be modified
   in that it now requires the user to pass the parameter of .return_tibbl with either
   TRUE or FALSE as it was introduced into the tidy_ distribution functions which now
   use data.table under the hood to generate data.
2. Fix #371 - Modify code to use the native |> pipe instead of the %>% which
   has caused a need to update the minimum R version to 4.1.0

New Features

1. Fix #360 - Add function tidy_triangular()
2. Fix #361 - Add function util_triangular_param_estimate()
3. Fix #362 - Add function util_triangular_stats_tbl()
4. Fix #364 - Add function triangle_plot()
5. Fix #363 - Add triangular to tidy_autoplot()

Minor Fixes and Improvements

1. Fix #372 and #373 - Update cvar() and csd() to a vectorized approach from @kokbent
   which speeds these up by over 100x
2. Fix #350 - Update all tidy_ distribution functions to generate data using data.table
   this in many instances has resulted in a speed up of 30% or more.
3. Fix #379 - Replace the use of dplyr::cur_data() as it was deprecated in
   dplyr in favor of using dplyr::pick()
4. Fix #381 - Add tidy_triangular() to all autoplot functions.
5. Fix #385 - For tidy_multi_dist_autoplot() the .plot_type = "quantile" did
   not work.
6. Fix #383 - Update all autoplot functions to use linewidth instead of size.
7. Fix #375 - Update cskewness() to take advantage of vectorization with a speedup
   of 124x faster.
8. Fix #393 - Update ckurtosis() with vectorization to improve speed by 121x per
   benchmark testing.