Hello,everyone! I am a rookie about pymc,and I’m trying to define a three-parameter log-logistic distribution in pymc.I have referred to the official documents in pymc3.But I have encountered a problem.This is my code:

from pymc3.distributions.dist_math import bound, logpow

import numpy as np

from scipy.stats import fisk

def loglogistic_logp(alpha,beta,r,value):

alpha_r_value=(value-r)/alpha

log_prob=np.log(beta/alpha)+logpow(alpha_r_value,beta-1)+logpow(1+alpha_r_value**beta,-2)

return log_prob

def loglogistic_rvs(alpha,beta,r,size):

return fisk.rvs(c=beta,loc=r,scale=alpha,size=size)

class CustomLogLogistic(pm.Continuous):

def *init*(self,alpha,beta,r,*args,**kwargs):

super(CustomLogLogistic,self).*init*(*args, **kwargs)

self.alpha=alpha

self.beta=beta

self.r=r

```
def logp(self,value):
alpha=self.alpha
beta=self.beta
r=self.r
return loglogistic_logp(alpha,beta,r,value)
def random(self,alpha,beta,r):
return fisk.rvs(c=beta,loc=r,scale=alpha,size=size)
```

then i tried this:

b=CustomLogLogistic.dist(beta=3.05,r=0,alpha=1).random()

print(b)

i got a error:

**init**() got an unexpected keyword argument ‘beta’

and i don’t know how to fix it.

English is not my native language, forgive me for my poor expression.

Thank you all!