Tasks: Done And To Do

This page aims to be a handy reference not only of the work done but also of work pending for the next planned release. Users who want new features should submit patches to this page in the unclassified section of this document. Developers who want to lend a hand can grab tasks from this page. Everyone can see the progress which is being made.

The following is a list of items still TODO for Math. Contributions are welcome!

  • Fill Me In! With A High Priority Task
  • Fill Me In With A Medium Priority Task
  • Fill Me In With A Low Priority Task
  • Add bootstrap confidence intervals to StoredUnivariate implementations.
  • Improve numerical accuracy of Univariate and BivariateRegression statistical computations
  • t-test statistic needs to be added and we should probably add the capability of actually performing t- and chi-square tests at fixed significance levels (.1, .05, .01, .001).
  • numerical approximation of the t- and chi-square distributions to enable user-supplied significance levels.
  • The RealMatrixImpl class is missing some key method implementations. The critical thing is solution of linear systems. We need to implement a numerically sound solution algorithm. This will enable inverse() and also support general linear regression.
  • ComplexNumber implementation, supporting C9x Annex G spec.
  • Extend distribution framework to support discrete distributions and implement binomial and hypergeometric distributions.
  • Framework and implementation strategie(s) for finding roots or real-valued functions of one (real) variable
  • Exponential growth and decay (set up for financial applications)
  • Polynomial Interpolation
  • Addition of a Arithmetic Geometric Mean
  • Javadoc generation currently throws 35 warnings. Bring the Javadoc into compliance (i.e. reach zero warnings).
  • Clover tests show lots of gaps in test path coverage. Get all tests to 100% coverage
  • CheckStyle with modified properties still shows many errors. Clean these up.
  • Define full package structure and develop user's guide following package structure
  • Bivariate Regression, correlation.
  • Sampling from Collections
  • Add higher order moments to Univariate implementations.
  • Binomial coefficients -- incorporate an "exact" implementation that is limited to what can be stored in a long. Also provided double-valued implementation of binomial coefficients and their logs.
  • Add percentiles to stored Univariate implementations