The R Project SVN – R – Diff – /branches/R-Win-CMD/FAQ

 * R FAQ: (R-FAQ).               The R statistical system FAQ.
 END-INFO-DIR-ENTRY
    R FAQ
 Frequently Asked Questions on R
-Version 1.8-40, 2004-02-13
+Version 1.8-42, 2004-02-19
 ISBN 3-900051-01-1
 Kurt Hornik
 Table of Contents
 extensions to R to facilitate running R scripts through the CGI interface
 to a web server.  It is easily installed using Apache under Linux and in
 principle should run on any platform that supports R and a web server
 provided that the installer has the necessary security permissions.
-   *Rcgi* is a CGI WWW interface to R by Mark J. Ray
+   *Rcgi* is a CGI WWW interface to R by MJ Ray <mjr@dsl.pipex.com>.  It
-<mjr@stats.mth.uea.ac.uk>.  It had the ability to use "embedded code": you
+had the ability to use "embedded code": you could mix user input and code,
-could mix user input and code, allowing the HTML author to do anything from
+allowing the HTML author to do anything from load in data sets to enter
-load in data sets to enter most of the commands for users without writing
+most of the commands for users without writing CGI scripts.  Graphical
-CGI scripts.  Graphical output was possible in PostScript or GIF formats
+output was possible in PostScript or GIF formats and the executed code was
-and the executed code was presented to the user for revision.  However, it
+presented to the user for revision.  However, it is not clear if the
-is not clear if the project is still active and recent attempts to contact
-the author or find the package have failed.  Currently, a modified version
+project is still active.  Currently, a modified version of *Rcgi* by Mai
-of *Rcgi* by Mai Zhou <mai@ms.uky.edu> (actually, two versions: one with
+Zhou <mai@ms.uky.edu> (actually, two versions: one with (bitmap) graphics
-(bitmap) graphics and one without) as well as the original code are
+and one without) as well as the original code are available from
-available from `http://www.ms.uky.edu/~statweb'.
+`http://www.ms.uky.edu/~statweb'.
 R Add-On Packages
 *******************
 .1 Which add-on packages exist for R?
      Functions for general likelihood exploration (MLE, MCMC, CIs).
 *BradleyTerry*
      Specify and fit the Bradley-Terry model and structured versions.
+*BsMD*
+     Bayes screening and model discrimination follow-up designs.
 *CDNmoney*
      Components of Canadian monetary aggregates.
 *CGIwithR*
      Facilities for the use of R to write CGI scripts.
      phase is ambiguous.
 *hdf5*
      Interface to the NCSA HDF5 library.
+*hett*
+     Functions for the fitting and summarizing of heteroscedastic
+     t-regression.
 *hier.part*
      Hierarchical Partitioning: variance partition of a multivariate data
      set.
 *homals*
      processes.
 *its*
      An S4 class for handling irregular time series.
+*kernlab*
+     Kernel-based machine learning methods including support vector
+     machines.  (Currently in `1.9.0/Other'.)
 *knnTree*
      Construct or predict with k-nearest-neighbor classifiers, using
      cross-validation to select k, choose variables (by forward or
      backwards selection), and choose scaling (from among no scaling,
      scaling each column by its SD, or scaling each column by its MAD).
      approximations.
 *mclust*
      Model-based cluster analysis: the 2002 version of MCLUST.
-*mclust1998*
-     Model-based cluster analysis: the 1998 version of MCLUST.
 *mda*
      Code for mixture discriminant analysis (MDA), flexible discriminant
      analysis (FDA), penalized discriminant analysis (PDA), multivariate
      additive regression splines (MARS), adaptive back-fitting splines
      (BRUTO), and penalized regression.
 *multidim*
      Multidimensional descriptive statistics: factorial methods and
      classification.
+*multinomRob*
+     Overdispersed multinomial regression using robust (LQD and tanh)
+     estimation.
 *multiv*
      Functions for hierarchical clustering, partitioning, bond energy
      algorithm, Sammon mapping, PCA and correspondence analysis.
 *mvbutils*
      approximation error.
 *randomForest*
      Breiman's random forest classifier.
+*ref*
+     Functions for creating references, reading from and writing ro
+     references and a memory efficient refdata type that transparently
+     encapsulates matrices and data frames.
 *relimp*
      Functions to facilitate inference on the relative importance of
      predictors in a linear or generalized linear model.
 *rgdal*

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