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loo_model_weights (stacking and pseudo-BMA) gives expected result

WAoAAAACAAQFAgACAwAAAAAOAAAAAz/KEXnf1DM9P+l7oXTYyi4+YzIpAwAAAA==

Code
  print(w1)
Output
  Method: stacking
  ------
         weight
  model1 0.204 
  model2 0.796 
  model3 0.000 

WAoAAAACAAQFAgACAwAAAAAOAAAAAz+xA6UGtqDDP+3eFS5zKzY/J2MLYAsc4A==

Code
  print(w2)
Output
  Method: pseudo-BMA+ with Bayesian bootstrap
  ------
         weight
  model1 0.066 
  model2 0.933 
  model3 0.000 

Code
  print(w3)
Output
  Method: pseudo-BMA
  ------
         weight
  model1 0.000 
  model2 1.000 
  model3 0.000

Bayesian bootstrap gives expected result

c(0.188359351057998, 0.309962881543203, 0.501677767398798)