Author: Thomas Lumley, Achim Zeileis
Title: Robust Covariance Matrix Estimators
Description: Model-robust standard error estimators for
cross-sectional, time series and longitudinal data.
Diff between sandwich versions 2.2-3 dated 2009-11-30 and 2.2-4 dated 2009-12-07
DESCRIPTION | 8 ++++---- NAMESPACE | 3 +++ NEWS | 7 +++++++ R/vcovHC.R | 44 ++++++++++++++++++++++++++++++++++++++++++++ inst/doc/sandwich-OOP.pdf |binary inst/doc/sandwich.pdf |binary man/vcovHC.Rd | 1 + 7 files changed, 59 insertions(+), 4 deletions(-)
Author: Torsten Hothorn, Achim Zeileis, Giovanni Millo, David Mitchell
Title: Testing Linear Regression Models
Description: A collection of tests, data sets and examples for
diagnostic checking in linear regression models.
Diff between lmtest versions 0.9-25 dated 2009-11-17 and 0.9-26 dated 2009-12-07
DESCRIPTION | 8 ++++---- NAMESPACE | 1 + NEWS | 6 ++++++ R/coeftest.R | 12 ++++++++++++ inst/doc/lmtest-intro.pdf |binary man/coeftest.Rd | 1 + 6 files changed, 24 insertions(+), 4 deletions(-)
Author: Edzer J. Pebesma
Diff between sp versions 0.9-47 dated 2009-11-20 and 0.9-51 dated 2009-12-07
Title: classes and methods for spatial data
Description: A package that provides classes and methods for spatial
data. The classes document where the spatial location
information resides, for 2D or 3D data. Utility functions are
provided, e.g. for plotting data as maps, spatial selection, as
well as methods for retrieving coordinates, for subsetting,
print, summary, etc.
sp-0.9-47/sp/.Rbuildindex.19095 |only
sp-0.9-47/sp/rlabs |only
sp-0.9-51/sp/ChangeLog | 27
sp-0.9-51/sp/DESCRIPTION | 8
sp-0.9-51/sp/R/Spatial-methods.R | 6
sp-0.9-51/sp/R/chfids.R | 20
sp-0.9-51/sp/inst/ChangeLog | 27
sp-0.9-51/sp/inst/doc/sp.pdf | 3636 ++++++++++++++++++-------------------
sp-0.9-51/sp/man/Spatial-class.Rd | 4
sp-0.9-51/sp/tests/fail1.Rout.save | 3
10 files changed, 1898 insertions(+), 1833 deletions(-)
Author: Werner Stahel, Martin Maechler and potentially others
Title: eXperimental eXtraneous eXtraordinary ... Functionality for
Robust Statistics
Description: eXperimental eXtraneous eXtraordinary Functionality for
Robust Statistics
Diff between robustX versions 1.1-1 dated 2009-11-18 and 1.1-2 dated 2009-12-07
ChangeLog | 4 ++++ DESCRIPTION | 8 ++++---- R/BACON-alg.R | 9 +++------ 3 files changed, 11 insertions(+), 10 deletions(-)
Author: Timothy H. Keitt
Diff between rgdal versions 0.6-22 dated 2009-12-03 and 0.6-23 dated 2009-12-07
Title: Bindings for the Geospatial Data Abstraction Library
Description: Provides bindings to Frank Warmerdam's Geospatial Data
Abstraction Library (GDAL) (>= 1.3.1) and access to
projection/transformation operations from the PROJ.4 library.
The GDAL and PROJ.4 libraries are external to the package, and,
when installing the package from source, must be correctly
installed first. Both GDAL raster and OGR vector map data can
be imported into R, and GDAL raster data and OGR vector data
exported. Use is made of classes defined in the sp package.
ChangeLog | 13 +++++++++++--
DESCRIPTION | 8 ++++----
R/sgdf_gdal.R | 7 ++-----
inst/ChangeLog | 13 +++++++++++--
man/SpatialGDAL-class.Rd | 4 ++--
5 files changed, 30 insertions(+), 15 deletions(-)
Author: Graham Williams
Diff between rattle versions 2.5.7 dated 2009-11-29 and 2.5.11 dated 2009-12-07
Title: A graphical user interface for data mining in R using GTK
Description: Rattle (the R Analytic Tool To Learn Easily) provides a
Gnome (RGtk2) based interface to R functionality for data
mining. The aim is to provide a simple and intuitive interface
that allows a user to quickly load data from a CSV file (or via
ODBC), transform and explore the data, build and evaluate
models, and export models as PMML (predictive modelling markup
language) or as scores. All of this with knowing little about
R. All R commands are logged and commented through the log tab
and so available to the user as a script file or as an aide to
the user to interact directly with R itself. Rattle also
exports a number of utility functions and the graphical user
interface, invoked as rattle(), does not need to be run to
deploy these.
DESCRIPTION | 8 -
R/data.R | 189 ++++++++++++++++++++++++++++++++++---------
R/evaluate.R | 216 ++++++++++++++++++++------------------------------
R/help.R | 39 ++++++++-
R/kmeans.R | 22 ++++-
R/model.R | 35 ++++----
R/nnet.R | 8 -
R/projects.R | 59 ++++++-------
R/rattle.R | 35 ++++----
R/textminer.R | 5 -
R/zzz.R | 6 +
inst/etc/rattle.glade | 73 ++++++++++++----
man/internal.Rd | 3
13 files changed, 433 insertions(+), 265 deletions(-)
Author: Christophe Genolini
Diff between r2lUniv versions 0.9.3 dated 2009-10-11 and 0.9.4 dated 2009-12-07
Title: R to LaTeX, Univariate analysis
Description: This package provide facilities to export some R analysis
in a LaTeX format. Working either on a single variable or on a
data.frame, it compute several statistics (frequency,
centrality, dispersion, graph) for each variable, according to
their nature.
DESCRIPTION | 8
R/function.R | 80 +++-
R/rtlu.R | 139 +++++---
man/r2lUniv-package.Rd | 4
man/rtlu.Rd | 47 +-
man/rtluMainFile.Rd | 19 -
testsDev/V-barplot.png |only
testsDev/V-hist.png |only
testsDev/a.tex |only
testsDev/b.tex |only
testsDev/c.tex |only
testsDev/d.tex |only
testsDev/e.tex |only
testsDev/exampleSingle |only
testsDev/f.tex |only
testsDev/graphUniv |only
testsDev/main.tex |only
testsDev/nameEssai-barplot.png |only
testsDev/testsFunction.r |only
testsDev/testsRtlu.r | 683 +----------------------------------------
20 files changed, 212 insertions(+), 768 deletions(-)
Author: Graham Williams, Michael Hahsler (arules), Zementis Inc, Hemant
Ishwaran, Udaya B. Kogalur, Rajarshi Guha
Title: Generate PMML for various models
Description: The Predictive Modelling Markup Language (PMML) is a
language for representing models, in an application independent
way. Such models can then be loaded into other applications
supporting PMML, including ADAPA from Zementis, Teradata
Warehouse Miner and IBM's DB2. The package provides a generic
pmml function to generate pmml for an object. Using a S3
generic function the approriate method for the class of the
supplied object is dispatched. The package currently supports
the export of PMML for linear regression, SVMs, rpart
classification trees, randomSurvivalForest forest models, and
kmeans clusters. This package is part of the Rattle toolkit.
Diff between pmml versions 1.2.20 dated 2009-11-04 and 1.2.21 dated 2009-12-07
DESCRIPTION | 8 NAMESPACE | 1 R/pmml.R | 12 - R/pmml.coxph.R | 10 - R/pmml.lm.R | 3 R/pmml.nnet.R | 498 ++++++++++++++++++++++++++++++------------------------- R/pmml.survreg.R |only 7 files changed, 296 insertions(+), 236 deletions(-)
Author: Kaspar Rufibach
Diff between logcondens versions 1.3.4 dated 2009-06-05 and 1.3.5 dated 2009-12-07
Title: Estimate a Log-Concave Probability Density from iid Observations
Description: Given independent and identically distributed observations
X(1), ..., X(n), this package allows to compute a concave,
piecewise linear function phi on [X(1), X(n)] with knots only
in {X(1), X(2), ..., X(n)} such that L(phi) = sum_{i=1}^n
W(i)*phi(X(i)) - int_{X(1)}^{X(n)} exp(phi(x)) dx is maximal,
for some weights W(1), ..., W(n) s.t. sum_{i=1}^n W(i) = 1.
According to the results in Duembgen and Rufibach (2009), this
function phi maximizes the ordinary log-likelihood sum_{i=1}^n
W(i)*phi(X(i)) under the constraint that phi is concave. The
corresponding function exp(phi) is a log-concave probability
density. Two algorithms are offered to compute the estimator:
An active set algorithm and one based on the
pool-adjacent-violaters algorithm. In addition, we provide
functions to compute (1) the value of the density and
distribution function estimate at a given point (2) a smoothed
log-concave density estimator (3) the characterizing functions
of the estimator and (4) to sample from the estimated
distribution. Finally, two datasets that have been used to
illustrate log-concave density estimation are made available.
logcondens-1.3.4/logcondens/R/intECDF.r |only
logcondens-1.3.4/logcondens/R/intF.r |only
logcondens-1.3.5/logcondens/CHANGES | 6 +++++
logcondens-1.3.5/logcondens/DESCRIPTION | 19 ++++++++++++------
logcondens-1.3.5/logcondens/R/J00.R | 2 -
logcondens-1.3.5/logcondens/R/J10.R | 2 -
logcondens-1.3.5/logcondens/R/J11.R | 2 -
logcondens-1.3.5/logcondens/R/J20.R | 2 -
logcondens-1.3.5/logcondens/R/Lhat_eta.R | 2 -
logcondens-1.3.5/logcondens/R/LocalCoarsen.R | 2 -
logcondens-1.3.5/logcondens/R/LocalConvexity.R | 2 -
logcondens-1.3.5/logcondens/R/LocalExtend.R | 2 -
logcondens-1.3.5/logcondens/R/LocalF.R | 2 -
logcondens-1.3.5/logcondens/R/LocalMLE.R | 2 -
logcondens-1.3.5/logcondens/R/LocalNormalize.R | 2 -
logcondens-1.3.5/logcondens/R/Local_LL.R | 2 -
logcondens-1.3.5/logcondens/R/Local_LL_all.R | 2 -
logcondens-1.3.5/logcondens/R/MLE.R | 2 -
logcondens-1.3.5/logcondens/R/activeSetLogCon.R | 2 -
logcondens-1.3.5/logcondens/R/etaphi.R | 2 -
logcondens-1.3.5/logcondens/R/evaluateLogConDens.R | 2 -
logcondens-1.3.5/logcondens/R/icmaLogCon.R | 2 -
logcondens-1.3.5/logcondens/R/intECDF.R |only
logcondens-1.3.5/logcondens/R/intF.R |only
logcondens-1.3.5/logcondens/R/isoMean.R | 2 -
logcondens-1.3.5/logcondens/R/logconSmoothed.R |only
logcondens-1.3.5/logcondens/R/phieta.R | 2 -
logcondens-1.3.5/logcondens/R/qloglin.R | 2 -
logcondens-1.3.5/logcondens/R/quadDeriv.R | 2 -
logcondens-1.3.5/logcondens/R/quantilesLogConDens.R | 4 +--
logcondens-1.3.5/logcondens/R/rlogcon.R |only
logcondens-1.3.5/logcondens/R/robust.R | 2 -
logcondens-1.3.5/logcondens/data |only
logcondens-1.3.5/logcondens/inst/doc/logcondens.pdf |binary
logcondens-1.3.5/logcondens/man/brightstar.Rd |only
logcondens-1.3.5/logcondens/man/logconSmoothed.Rd |only
logcondens-1.3.5/logcondens/man/logcondens-package.Rd | 4 +--
logcondens-1.3.5/logcondens/man/reliability.Rd |only
logcondens-1.3.5/logcondens/man/rlogcon.Rd |only
39 files changed, 46 insertions(+), 33 deletions(-)
Author: Lisha Chen
Diff between MTSKNN versions 0.0-2 dated 2009-11-02 and 0.0-4 dated 2009-12-07
Title: Multivariate two-sample tests based on K-nearest-neighbors
Description: The package contains four multivariate two-sample tests
which are all based on k-nearest-neighbors. The testing
procedures are distribution free and are robust from balanced
designs to unbalanced designs.
DESCRIPTION | 14 +--
NAMESPACE | 2
R/func.R |only
R/mtsknn.discard.R |only
R/mtsknn.eq.R | 142 +++++++++++++++++++++-------------
R/mtsknn.neq.R | 203 ++++++++++++++++++++++++++++++++------------------
man/mtsknn.Rd | 2
man/mtsknn.discard.Rd |only
man/mtsknn.eq.Rd | 10 +-
man/mtsknn.neq.Rd | 22 ++++-
10 files changed, 250 insertions(+), 145 deletions(-)