updated docs and examples

Author: MthwRobinson

APPLPyBugs.txt

@@ -7,5 +7,7 @@ Current APPLPy Bugs:
 	the Bayes module (*** this is not a problem in credible set,
 	it's an issue with convergence conditions in the variate 
 	generation algorithm)
-
+4. Problem in Queue when the initial number of customers in the
+	system is equal to the number of servers. Problems
+	looks like it could be related to mpmath
 

CHANGES.txt

@@ -1,4 +1,4 @@
-v0.4.4,
+v0.4.4, 20 August 2016
 New Capabilities:
 	1. PlotLimits implemented to change the limits of a plot
 

docs/examples.py

@@ -96,4 +96,117 @@
 Xstar = BootstrapRV(X.variate(n=100))
 PlotDist(CDF(X))
 PlotDist(CDF(Xstar))
-plt.title('Comparison of Exponential CDF and Bootstrapped EDF')
+plt.title('Comparison of Exponential CDF and Bootstrapped EDF')
+
+# Queue
+X=ExponentialRV(Rational(1,3))
+Y=ExponentialRV(Rational(1,2))
+Q=Queue(X,Y,n=3,k=2,s=3)
+Q.display()
+
+# RV Algebra
+X=ExponentialRV(Rational(1,2))
+Y=ExponentialRV(Rational(1,3))
+
+Z=X+Y
+Z.display()
+
+Z = X - 4
+Z.display()
+
+Z = -Y
+Z.display()
+
+U=UniformRV(Rational(1),Rational(3))
+U2=UniformRV(Rational(4),Rational(5))
+Z=U*U2
+Z.display()
+
+Z = U/4
+Z.display()
+
+Z = U**3
+Z.display()
+
+U=UniformRV(Rational(1),Rational(2))
+U2=UniformRV(Rational(3),Rational(4))
+Z=Convolution(U,U2)
+Z.display()
+
+Z = ConvolutionIID(U,3)
+Z.display()
+
+X=UniformRV(Rational(2),Rational(4))
+Y=UniformRV(Rational(3),Rational(5))
+Z=Product(X,Y)
+Z.display()
+
+Z=ProductIID(X,3)
+Z.display()
+
+# Random Variable Methods
+
+X=TriangularRV(2,4,7)
+X.verifyPDF()
+Y=RV([x**2],[0,10],['continuous','pdf'])
+Y.verifyPDF()
+
+X=BinomialRV(5,0.25)
+X.display()
+Convert(X)
+
+T=TriangularRV(1,4,6)
+T.display()
+T.latex()
+
+U=UniformRV(Rational(1),Rational(2))
+Z = ConvolutionIID(U,3)
+Z.display()
+Z.simplify()
+
+# Saving Random Variables
+X = ExponentialRV(Rational(1,3))
+Y = ExponentialRV(Rational(1,4))
+Z = X+Y
+Z.save('conv.rv')
+
+X = LoadRV('conv.rv')
+X.display()
+
+# Statistics
+
+X=NormalRV(2,2)
+data=X.variate(n=30)
+KSTest(X,data)
+
+mu=Symbol('mu')
+sigma=Symbol('sigma',positive=True)
+X=NormalRV(mu,sigma)
+data=NormalRV(0,2).variate(n=40)
+MLE(X,data,[mu,sigma])
+
+theta=Symbol('theta',positive=True)
+kappa=Symbol('kappa',positive=True)
+W=WeibullRV(theta,kappa)
+data=WeibullRV(2,4).variate(n=40)
+MOM(W,data,[theta,kappa],guess=[2.2,3.8],numeric=True)
+
+# Transform
+
+X=TriangularRV(Rational(2),Rational(4),Rational(5))
+gX=[[x**2,x**2],[-oo,0,oo]]
+Y=Transform(X,gX)
+Y.display()
+
+# Truncation
+
+X=BetaRV(2,2)
+Y=Truncate(X,[Rational(1,4),Rational(3,4)])
+Y.display()
+
+# Variate Generation
+
+X=TriangularRV(2,4,10)
+X.variate(n=5)
+X.variate(n=5,method='inverse')
+X.variate(s=.5,method='inverse')

setup.py

@@ -1,8 +1,8 @@
 from distutils.core import setup
-
+# To upload to PyPi run python setup.py sdist upload -r pypi
 setup(
     name='APPLPy',
-    version='0.4.3',
+    version='0.4.4',
     author='Matthew Robinson',
     author_email='mthw.wm.robinson@gmail.com',
     packages=['applpy','applpy.test'],