anchor.diff:  [source,text]
   cumulativeProbability(normalDistribution(500, 25), 502) // Returns the cumulative probability of the random sample 502 in a normal distribution with a mean of 500 and standard deviation of 25.
   
  -
  -== density (TODO)
  -
  -
   == derivative
   
   The `derivative` function returns the https://en.wikipedia.org/wiki/Derivative[derivative] of a function. The derivative function
  
positive.code: [source,text]
  logNormalDistribution(.3, .0)
  
  == kmeans (TODO)
  
  == knn (TODO)
  
  == kolmogorovSmirnov
  
  The `kolmogorovSmirnov` function performs a https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test[Kolmogorov Smirnov test],
  
negative.code: or(and(fieldA,fieldB),fieldC) // (fieldA && fieldB) || fieldC
  or(fieldA,fieldB,fieldC,and(fieldD,fieldE),fieldF)
  ----
  
  == poissonDistribution
  
  