[comp.newprod] Version 1.0 of S-PLUS for MS-DOS

bob@statsci.com (Robert Treder) (06/08/90)

               ANNOUNCING VERSION 1.0 OF S-PLUS FOR DOS
               ========================================
Statistical Sciences, Inc. (STATSCI), based in Seattle, Washington, has just 
released Version 1.0 of S-PLUS for DOS.  S-PLUS is a powerful system and an 
easily extensible interactive language used for graphical data analysis, 
statistics and mathematical computing. 

GENERAL DESCRIPTION OF S-PLUS for DOS 
=====================================
S-PLUS is a fully supported superset of New S. New S was developed by 
Becker, Chambers and Wilks at AT&T Bell Laboratories in an ongoing research 
effort that now spans a decade.  Complete access to DOS tools is available 
from within S-PLUS. S-PLUS provides over 500 functions which may be easily 
extended by defining new functions written in the S-PLUS language and/or 
by incorporating user-supplied Fortran or C programs. 

STATSCI's ENHANCEMENTS AND EXTENSIONS
=====================================
  CLASSICAL INFERENCE 
  --------------------
  S-PLUS now contains for the first time a basic set of classical methods 
  for estimation and testing. These methods are available in an interactive
  and graphical display form which makes S-PLUS much more widely useful 
  for both teaching and research. The methods contained in Version 1.0 
  include:  

    t-test (paired and unpaired      One-way ANOVA with and without covariate
            equal and unequal)       Kruskal-Wallis test  
    Wilcoxon signed rank test        Generalized Cochran Q test  
    Binomial test for p              Mantel-Haenszel test for association  
    Chisquare test for r X s         Stuart-Maxwell test for association 
    Fisher's exact test for 2 X 2    t-test for zero correlation  
    McNemar's Test for symmetry      Kendall's Tau and test for zero correlation
    Bivariate normality test         Spearman's rank correlation and test 
    Univariate normality test 		for zero correlation 

  Additionally, the binomial, hypergeometric and Wilcoxon distributions have 
  been added to the list of distributions represented in S-PLUS.    

  MODERN REGRESSION TECHNIQUES 
  ----------------------------
  Regression model linearization (ACE) 
  Additivity and Variance Stabilization for regression (AVAS) 
  Projection Pursuit Regression 
  Least Median of Squared Residuals (LMS) Regression
  Kernel Smoothers, Friedman and Stuetzle's "Super Smoother" 

  TIME SERIES
  -----------
  Univariate ARIMA models
  Multivariate AR models 
  Robust Fits for univariate AR models
  Complex Demodulation
  Spectral Analysis
  General specification of filters and smoothers
  Robust filters and smoothers

  ROBUST METHODS
  --------------
  Bisquare estimates of location and scale  
  LMS regression 
  Generalized M-estimates of AR parameters in time series 
  Robust estimates of location and scale in time series   
  Robust filters and smoothers for time series

  GENERALIZED LINEAR MODELS (GLIM)
  --------------------------------
  This is a general implementation of McCullagh and Nelder's 
  Generalized Linear Models including gaussian, binomial, poisson, 
  gamma, and inverse gaussian error structures and identity, log, 
  logit, probit, square root, inverse and loglog link functions.  
  Model fitting includes offset and model sequence specification.
 
  SURVIVAL ANALYSIS
  -----------------
  Survival Curves including Kaplan-Meier and Fleming-Harrington
  Cox Proportional Hazards Models 
  G-rho family of tests for differences between survival curves

  NEW "HELP" FILES
  ----------------
  Revised "help" files format with additional information and references, 
  a permuted index for all the functions, optional pagers for scrolling, 
  and optional pop-up help windows. 
=========================================================================

SUPPORT
=======
Software and documentation updates
S-PLUS hot-line phone support
Statistical consulting 
On-site training courses 

SYSTEM REQUIREMENTS
===================
386 IBM-PC, PS/2 or compatible with 387 math chip 
2 MB RAM (4 MB recommended) 
Hard Drive (recommend 10-15 MB available) 
PC-DOS 3.1 or above 


TECHNICAL NEWSLETTER
====================
An S/S-PLUS technical newsletter series will commence in May.
Anyone wishing to receive this may do so by sending their surface 
mail address to STATSCI's electronic or surface mail address 
provided below.

DISCOUNTS
=========
Special introductory discounts are now available until July 31, 1990. 
Additional discounts are available for educational organizations.

FOR MORE INFORMATION
====================
Email:   mktg@statsci.com
      or uunet!statsci!mktg. 

Surface: STATSCI                              
         P.O. Box 85625                       Phone: (206)322-8707   
         Seattle, WA  98145-1625  USA         Fax:   (206)322-0738