Mathematical Modeling for the Macintosh

Examples

Equations

Kepler -- Mars

Daytime

Quantum Defects

Hale-Bopp CN

Spectral Peak

Distributions

Batting Averages

Hyphens

Dice Rolls

Salaries

10,000 Gammas

Logo
Caption

Did you ever

Well, now you don't have to.

Regress+ ("Regress_plus") can do all of that and more!
It sets a new standard -- unmatched in power, flexibility, and user-friendliness.

View an introductory PDF Tutorial (271 K), on modeling in general, or download (1.4 MB) the complete, free package (stuffed and binhexed):

Note: You might need the latest Stuffit Expander® freeware to extract Regress+.


Regress+ (2.5.3) Features

General

  1. Simple (univariate) mathematical modeling
  2. Data:
    -- deterministic (regression)
    -- stochastic (random variates)
  3. Up to 2,147,483,647 points (minimum 7)
  4. Robust goodness-of-fit testing
  5. Bootstrap confidence intervals (90, 95, and 99 percent) for
    -- parameters
    -- stochastic-model goodness-of-fit metrics
  6. Bootstrap methodology (where appropriate):
    -- BCa technique (state-of-the-art)
    -- percentile technique
    -- tunable precision
  7. Optional "freezing" of initial estimate(s) for any parameter(s)
  8. Choice of optimization criterion
  9. No hidden assumptions anywhere:
    -- no approximations, apart from those common to sampling and bootstrapping generally
    -- no data transformations of any kind
  10. "Smart" dialogs to run unattended and/or in the background
  11. Textfile input (may contain unlimited comments)
  12. Both text and graphical output
  13. One keystroke makes a plot (may be saved as a PICT)
  14. Extensive documentation (in PDF):
    -- Tutorial (50 pp.)
    -- Users' Guide (36 pp.)
    -- Technical Details and References (8 pp.)
    -- Appendix A: A Compendium of Common Probability Distributions (120 pp., separate volume)
    -- Appendix B: Error Messages (4 pp.)
  15. Lots of sample datafiles

Deterministic Modeling

  1. Models: y = f(x), with 1 to 10 parameters
    -- 22 Built-in families of models
    -- Gaussian-Lorentzian model for spectral peaks (see Example #5)
    -- "User-defined" model
  2. Special Simulated Annealing mode to help find initial parameter estimates
  3. Optimization criteria:
    -- Least-squares
    -- Minimum average deviation
  4. [Optional] Weights (for the dependent variable, y)
  5. [Optional] Listing of fitted data and residuals

Stochastic Modeling

  1. 56 Built-in distributions:
    -- 30 Continuous
    -- 17 Continuous binary mixtures
    -- 5 Discrete
    -- 4 Discrete binary mixtures
  2. Optimization criteria:
    -- Maximum-likelihood (all)
    -- Minimum Kolmogorov-Smirnov statistic (continuous variates)
    -- Minimum Chi-square (discrete variates)
  3. [Optional] Discrete input may be grouped
  4. [Optional] Creation of samples of random variates (textfiles, see Example #10)

Platform Requirements

  1. Regress+ 2.5 runs on any PPC Macintosh under either
    OS X
    or
    OS 9 plus CarbonLib (1.4 or greater)
  2. It will also run on any Intel Mac provided that Rosetta is installed. Starting with OS 10.6 (Snow Leopard), this is an Optional install that must be done manually. [See Coming Attractions, below.]
  3. For older platforms, Regress+ 2.3.1 (1.5 Meg download) is still available.

Coming Attractions

Who Uses Regress+ ?

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Feedback?

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