def CDF(self, x):
if math.isnan(x):
return float("nan")
arg1 = self.df/(self.df + x*x)
arg2 = self.df/2.0
arg3 = 0.5
if (x > 0):
return 1.0 - 0.5*incompleteBetaFunction(arg1, arg2, arg3)
elif (x == 0.0):
return 0.5
else:
return 0.5*incompleteBetaFunction(arg1, arg2, arg3)
def CDF(self,x):
if math.isnan(x):
return float("nan")
elif (x <= 0.0):
return 0.0
elif (x >= 1.0):
return 1.0
else:
return incompleteBetaFunction(x,self.alpha,self.beta)
def CDF(self,x):
if math.isnan(x):
return float("nan")
elif x <= 0.0:
return 0.0
else:
arg1 = (self.d1*x)/(self.d1*x + self.d2)
arg2 = self.d1/2.0
arg3 = self.d2/2.0
return incompleteBetaFunction(arg1, arg2, arg3)
def CDF(self, x):
if math.isnan(x):
return float("nan")
elif x < 0.0:
return 0.0
else:
if (self.n - x <= 0.0) or (self.prob == 0.0):
return 1.0
else:
x = math.floor(x)
return incompleteBetaFunction(1.0 - self.prob, self.n - x, 1.0 + x)
