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Add loc argument to gamma prior #114

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Nov 23, 2024
Merged

Add loc argument to gamma prior #114

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12 changes: 6 additions & 6 deletions src/pySODM/optimization/objective_functions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -230,15 +230,15 @@ def log_prior_gamma(x,gamma_params):
x: float
Parameter value whos probability we want to test.
gamma_params: tuple
Tuple containg gamma parameters alpha and beta.
Tuple containg gamma parameters alpha, beta and loc (shift along x-axis).

Returns
-------
Log probability of sample x in light of a gamma prior distribution.

"""
a,b = gamma_params
return gamma.logpdf(x, a=a, scale=1/b)
a,b,loc = gamma_params
return gamma.logpdf(x, a=a, scale=1/b, loc=loc)

def log_prior_weibull(x,weibull_params):
""" Weibull log prior distribution
Expand All @@ -248,15 +248,15 @@ def log_prior_weibull(x,weibull_params):
x: float
Parameter value whos probability we want to test.
weibull_params: tuple
Tuple containg weibull parameters k and lambda.
Tuple containg weibull parameters k, lambda and loc (shift along x-axis).

Returns
-------
Log probability of sample x in light of a weibull prior distribution.

"""
k,lam = weibull_params
return gamma.logpdf(x, k, shape=lam, loc=0 )
k,lam,loc = weibull_params
return gamma.logpdf(x, k, shape=lam, loc=loc)

#############################################
## Computing the log posterior probability ##
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