Support `{distributional}` package

[mattansb]

library(bayestestR)
library(distributional)

xdist <- c(dist_normal(), dist_poisson(1))

p_direction(xdist, null = 1)
#> Probability of Direction
#> 
#> Parameter |     pd
#> ------------------
#> N(0, 1)   | 84.13%
#> Pois(1)   | 36.79%

2DO

• Describe
  • [ ] map_estimate (Need to copy some code from ggdist:::Mode.distribution()?)
  • [ ] point_estimate
  • [ ] eti (distributional::hilo())
  • [ ] hdi (distributional::hdr())
  • [ ] spi (?)
  • [ ] bci (?)
  • [ ] ci
• Infer
  • [x] p_direction (density() + cdf())
  • [ ] p_map (density())
  • [ ] p_rope (density() + cdf())
  • [ ] p_significance (density() + cdf())
  • [ ] rope (density() + cdf())
  • [ ] equivalence_test
• [ ] describe_posterior
• [ ] estimate_density (density())
• BFs
  • [ ] bayesfactor_parameters (density() + cdf())
  • [ ] bayesfactor_restricted (simulate?)
  • [ ] si (density())
• Other:
  • [ ] NEWS
  • [ ] Version bump
  • [ ] DOCS
  • [ ] TESTS
  • [ ] STYLER