New StatLib entries for Sept 1994

Mike Meyer (mikem@stat.cmu.edu)
Tue, 30 Aug 1994 11:48:32 -0400


StatLib is an electronic archive of statistical programs, functions,
data, meeting information and other information.

Users can connect to StatLib using either e-mail, FTP, Gopher, or WWW
readers.

The following is a short list of the new or modified StatLib entries
for January through August 1994.

o There is a new WWW home page that lists provides pointers to WWW, FTP,
and gopher servers of Statistics Departments around the world. Use
your favorite WWW reader (Mosaic, MacWeb, etc.) to have a look.
The collection include the technical report archives and graduate
catalog of the Statistics Department at Carnegie Mellon.

S gee # Update
kde # Kernel density estimation.
haerdle # Update
DOS # A fledgling area for Splus on DOS
DOS/detroff.zip # de-troffer for DOS
Modapplstat # data/programs for Venables and
Ripleys Models in Applied Statistics
nls # nonlinear regression collection
robeth # robust estimation collection.
bootstrap.funs # Update
bystats # Update
classif # Update
conf.design # confounded designs
cut2 # Update
data.frame # revised functions and methods for
data frames
design # Biostatistical/epidemiologic
modeling, testing
ecdf # Empirical cumulative distribution plot
ellipse # Routines for drawing ellipses and
ellipse-like confidence regions
fracdiff # Update
french.intro # Introduction to S-Plus 3.1 in French
heft # Update
hoeffd # Function to compute Hoeffding's D statistic
invreg # inverse regression
multiv # hierarchical clustering and more
negbin # negative binomial models
nlme # Update
pls # Fortran, Matlab and Splus code for
Univariate Partial Least Squares
print.display #
rcorr # correlations
ripley # Update
rm.tools # Repeated measures tools
rm.tools.ps # Repeated measures tools, manual
rms.curvatures # Update
safe.predict # Modified versions of bs() and ns()
that allow safe predictions
scat1d # Update
sguide # Updated
str # Compactly print STRucture of any S object.
time.series # functions for estimating,
converting and analysing multivariate ARMA
transcan # Simultaneous transformation and
imputation using canonical variates
varclus # Hierarchical clustering

apstat Algorithms 222, and 203

datasets cloud # Data collected in a cloud-seeding
experiment in Tasmania
pbc # Appendix D of Fleming and
Harrington, Counting Processes and
Survival Analysis
wseries # Whether or not the home team won for
each game played in all World Series
prior to 1994
witmer # Data from the book Data Analysis: An
Introduction
sleep # data on sleeping
csb # A substantial collection of data
from from the book "Case Studies in
Biometry".

directory uk # Updated UK directory

s-news digests up to 148

general Utexas # Update
rpart # Recursive partitioning
fracdiff # Update
exact # FORTRAN program for exact,
unconditional tests
extlms # Update
snqn # scale estimators
toms717 # Normal integrals and deviates
toms712
mtd # Higher order Markov chains:
Estimating the Markov Transition
Distribution
hcfb # clustering
cdh # composite distributional hypoth
elicit-normlin # elicit the hyperparameters of the
prior distribution for the normal
linear model
cis94 # Sample records, documentation, and
auxiliary files for the 1994 Current
Index to Statistics Extended
Database
assoc # association analysis
dassoc # ditto, but different
laplacpg # calculate the Laplace approximation
to the marginal likelihood for the
Poisson-Gamma

minitab An entire new collection of macros. Very big!

xlispstat bpois

designs Much of the collection has been updated.

jcgs abstract.v3.2
simonoff-dong
abstract.v2.4
abstract.v3.1
roosen-hastie

jasadata hodges
caulkins-p

jqt Algorithm 26-2, 26-3

imsbull IMS-Bulletin-23-2, 23-3, 23-4 # The IMS Bulletin in postscript!

asacert New versions of the proposal and related material.

meetings Many new meetings

joint94 Abstracts for the 1994 Joint Statistical Meetings

scgn The Statistical Computing and Graphics Newsleter, online

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Mike Meyer, Carnegie Mellon.

================================================================

Mike Meyer, Computing Services and Department of Statistics,
Carnegie Mellon University