epinowcast

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Functions  
real  zero_truncated_normal_lpdf (vector y, real mu, real sigma) 
real zero_truncated_normal_lpdf  (  vector  y, 
real  mu,  
real  sigma  
) 
Compute log PDF for a zerotruncated normal distribution
Calculates the log probability density for a vector of observations assumed to follow a zerotruncated normal distribution with specified mean and standard deviation. This function is useful in contexts where the normal distribution is truncated to exclude values below zero.
y  Vector of observations. 
mu  Mean of the zerotruncated normal distribution. 
sigma  Standard deviation of the zerotruncated normal distribution. 
y
given mu
and sigma
.g * normal_lccdf(0  mu, sigma)
adjusts for the probability mass excluded by truncation, where g
is the number of elements in y
.effect_priors_lp
for applying a zerotruncated normal prior to the standard deviations of random effects in a regression context. Definition at line 29 of file zero_truncated_normal.stan.