Biogeme: Python Library  4.6a
loglikelihood.py
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4 from biogeme import *
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13 def loglikelihood(prob):
14  loglikelihood = log(prob)
15  return loglikelihood
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32 def mixedloglikelihood(prob):
33  l = MonteCarlo(prob)
34  return log(l)
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50 def likelihoodregression(meas,model,sigma):
51  t = (meas - model) / sigma
52  f = bioNormalPdf(t) / sigma
53  return f
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70 def loglikelihoodregression(meas,model,sigma):
71  t = (meas - model) / sigma
72  f = - t * t / 2 - log(sigma) -0.9189385332
73  return f
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def loglikelihood(prob)
Simply computes the log of the probability.
def loglikelihoodregression(meas, model, sigma)
Computes log likelihood function of a regression model.
def likelihoodregression(meas, model, sigma)
Computes likelihood function of a regression model.
def mixedloglikelihood(prob)
Compute a simulated loglikelihood function.
Copyright 2017 Michel Bierlaire