log-lik.md
In extras: Helper Functions for Bayesian Analyses

beta_binom log_lik

Code
  log_lik_beta_binom(x = samples, size = 50, prob = 0.2, theta = 1.1)
Output
    [1] -4.976366 -2.395701 -1.375050 -3.917547 -1.375050 -4.314925 -4.409988
    [8] -3.218659 -4.045703 -1.375050 -4.409988 -1.375050 -3.685783 -1.375050
   [15] -1.375050 -2.395701 -1.375050 -1.375050 -4.845012 -1.375050 -2.395701
   [22] -4.631547 -2.787926 -1.375050 -1.375050 -1.375050 -3.983622 -3.769878
   [29] -1.375050 -1.375050 -1.375050 -3.769878 -3.035763 -3.769878 -3.364624
   [36] -3.486792 -5.021646 -1.375050 -2.395701 -1.375050 -1.375050 -1.375050
   [43] -3.218659 -1.375050 -3.592380 -4.045703 -1.375050 -1.375050 -1.375050
   [50] -2.787926 -5.269883 -4.976366 -2.395701 -1.375050 -5.326411 -1.375050
   [57] -1.375050 -4.716959 -1.375050 -3.218659 -1.375050 -3.685783 -5.521217
   [64] -1.375050 -1.375050 -1.375050 -3.486792 -3.364624 -1.375050 -2.395701
   [71] -1.375050 -4.265252 -1.375050 -2.395701 -1.375050 -2.395701 -3.592380
   [78] -3.486792 -1.375050 -3.769878 -2.395701 -4.045703 -1.375050 -3.035763
   [85] -2.395701 -3.218659 -1.375050 -2.787926 -1.375050 -3.035763 -1.375050
   [92] -1.375050 -1.375050 -1.375050 -4.265252 -1.375050 -2.395701 -3.364624
   [99] -3.035763 -1.375050