def MvStudent_t(df=1, loc=[0,0], scale=[[1,.5],[.5,1]]):
"""
Parameters
----------
df : float, Dist
Degree of freedom
loc : array_like, Dist
Location parameter
scale : array_like
Covariance matrix
"""
out = co.mvstudentt(df, loc, scale)
out.addattr(str="MvStudent_t(%s,%s,%s)" % (df, loc, scale))
return out
def MvStudent_t(df=1, loc=[0, 0], scale=[[1, .5], [.5, 1]]):
"""
Parameters
----------
df : float, Dist
Degree of freedom
loc : array_like, Dist
Location parameter
scale : array_like
Covariance matrix
"""
out = co.mvstudentt(df, loc, scale)
out.addattr(str="MvStudent_t(%s,%s,%s)" % (df, loc, scale))
return out
def __init__(self, a, R):
self.MV = mvstudentt(a, np.zeros(len(R)), R)
self.UV = student_t(a)
Dist.__init__(self, _length=len(R))
def __init__(self, a, R):
self.MV = mvstudentt(a, np.zeros(len(R)), R)
self.UV = student_t(a)
Dist.__init__(self, _length=len(R))