From: Wayne Oldford
Subject: Quail 1.0 beta available (Quantitative Analysis in Lisp)
Date: 
Message-ID: <C7y2ry.1Hv@watdragon.uwaterloo.ca>
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                       Quantitative Analysis in Lisp

                                 Quail 1.0
                               (beta release)
                                 Macintosh

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                    The Statistical Computing Laboratory
                                  of the
                Department of Statistics and Actuarial Science
                          University of Waterloo
		         Waterloo, Ontario N2L 3G1
                                  Canada

                       announces the beta release of

                                  Quail 1.0

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Quail is a quantitative programming environment written in Common Lisp
(CL; CltL2) and is largely object-oriented (based on the CL Object System).
Quail extends the CL language to better support quantitative analysis.

Amongst its features are:

           Arithmetical, Mathematical and Statistical capabilities:

           - extended arithmetic including the ability to
             lexically redefine return results that usually produce NaNs
           - rich array manipulation facilities including:
                 - array combination and subsetting
                 - iteration macros
                 - mathematical functions operate elementwise on arrays
                 - matrix manipulation including various decompositions
                 - arrays by indirect reference and by copying
           - smooth access to other languages (esp. Fortran and C)
                 - foreign language arrays behave as Quail arrays.
           - special mathematical functions such as gamma, beta, continued
             fraction approximations, diffentiation (symbolic and numerical)
             and numerical integration, ...
           - probability calculations for a wide variety of discrete
             and continuous distributions including mixtures.
                 - pseudo-random number generation
                 - quantiles
                 - probabilities
                 - density and distribution function calculations
                 - collection of linear congruential generators.
           - statistical response models
                 - fitting of normal linear models,
                   and generalized linear models including
                   quasi-likelihood

           Display facilities:
 
           - extended documentation and help facilities
                 - by parsing the CL documentation string documentation
                   objects are created which can be displayed in interactive
                   help windows
                 - tools for creating topics automatically from source
                   file organization
                 - automatic latex production of help documentation
           - object oriented graphics facilities including
                 - building blocks for arbitrary graphics
                 - collection of stock statistical graphics
                   Histograms, boxplots, function plots,
                   scatterplots, 3d-rotating scatterplots,
                   scatterplot matrices, Andrews' curves, ...
                 - function plotting,
                 - 3d-rotating function or surface plots
                       - wire-frame, hidden line, and solid polygon surface
                       - any of which can be depth-cued by colour
                 - arbitrary dynamic linking of graphics elements
                   allowing brushing within and across windows
           - graphical browsers
           - uniform access to a mouse and colour window system including
                 - automatic generation of colour postscript output
                   for all graphics

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Quail is accessible via anonymous ftp from

             setosa.uwaterloo.ca  or 129.97.141.101

Login id: anonymous   Passwd: your-e-mail-address


Code can be found in pub/Quail 
READMEs found there will give further instructions.
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A Franz and CLX based version is anticipated to be released late summer 1993.