Author: Kaspar Rufibach
Diff between smoothtail versions 1.1.2 dated 2008-08-25 and 1.1.3 dated 2009-06-04
Title: Smooth Estimation of GPD Shape Parameter
Description: Given independent and identically distributed observations
X(1), ..., X(n) from a Generalized Pareto distribution with
shape parameter gamma in [-1,0], this package offers several
estimates to compute estimates of gamma. The estimates are
based on the principle of replacing the order statistics by
quantiles of a distribution function based on a log--concave
density function. This procedure is justified by the fact that
the GPD density is log--concave for gamma in [-1,0].
CHANGES | 4 ++++
DESCRIPTION | 39 +++++++++++++++++++++++----------------
R/dgpd.R | 2 +-
R/falk.R | 2 +-
R/falkMVUE.R | 2 +-
R/generalizedPick.r | 6 +++---
R/pgpd.R | 2 +-
R/pickands.R | 2 +-
R/qgpd.R | 2 +-
R/rgpd.R | 2 +-
man/falk.Rd | 6 +++---
man/falkMVUE.Rd | 6 +++---
man/generalizedPick.Rd | 6 +++---
man/gpd.Rd | 4 ++--
man/lambdaGenPick.Rd | 6 +++---
man/pickands.Rd | 6 +++---
man/smoothtail-package.Rd | 20 ++++++++++----------
17 files changed, 64 insertions(+), 53 deletions(-)
Author: Han Lin Shang and Rob J Hyndman
Title: Rainbow plots, functional bagplot, functional HDR boxplot
Description: Functions and datasets for functional data display and
outlier detection.
Diff between rainbow versions 1.0 dated 2009-05-29 and 1.1 dated 2009-06-04
.fsLockFile |only DESCRIPTION | 11 ++++++----- R/bbag.R | 4 ++-- R/bhdr.R | 4 ++-- R/fts.R | 9 ++++++++- R/plot.fd.R | 4 ++-- 6 files changed, 20 insertions(+), 12 deletions(-)
Author: Torsten Hothorn, Kurt Hornik, Carolin Strobl and Achim Zeileis
Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning. The
core of the package is ctree(), an implementation of
conditional inference trees which embed tree-structured
regression models into a well defined theory of conditional
inference procedures. This non-parametric class of regression
trees is applicable to all kinds of regression problems,
including nominal, ordinal, numeric, censored as well as
multivariate response variables and arbitrary measurement
scales of the covariates. Based on conditional inference trees,
cforest() provides an implementation of Breiman's random
forests. The function mob() implements an algorithm for
recursive partitioning based on parametric models (e.g. linear
models, GLMs or survival regression) employing parameter
instability tests for split selection. Extensible functionality
for visualizing tree-structured regression models is available.
Diff between party versions 0.9-996 dated 2009-03-27 and 0.9-997 dated 2009-06-04
party-0.9-996/party/CHANGES |only party-0.9-997/party/DESCRIPTION | 6 party-0.9-997/party/NEWS |only party-0.9-997/party/R/MOB.R | 6 party-0.9-997/party/inst/doc/MOB.Rnw | 1 party-0.9-997/party/inst/doc/MOB.pdf | 600 ++++++++---------- party-0.9-997/party/inst/doc/party.pdf |binary party-0.9-997/party/man/RandomForest-class.Rd | 6 party-0.9-997/party/tests/Examples/party-Ex.Rout.save | 22 9 files changed, 322 insertions(+), 319 deletions(-)
Author: Torsten Hothorn, Kurt Hornik, Mark A. van de Wiel and Achim
Zeileis
Title: Conditional Inference Procedures in a Permutation Test Framework
Description: Conditional inference procedures for the general
independence problem including two-sample, K-sample
(non-parametric ANOVA), correlation, censored, ordered and
multivariate problems.
Diff between coin versions 1.0-4 dated 2009-05-11 and 1.0-5 dated 2009-06-04
coin-1.0-4/coin/CHANGES |only coin-1.0-5/coin/DESCRIPTION | 6 +++--- coin-1.0-5/coin/NEWS |only coin-1.0-5/coin/inst/doc/LegoCondInf.Rnw | 2 +- coin-1.0-5/coin/inst/doc/LegoCondInf.pdf |binary coin-1.0-5/coin/inst/doc/MAXtest.pdf |binary coin-1.0-5/coin/inst/doc/coin.pdf |binary coin-1.0-5/coin/inst/doc/coin_implementation.pdf |binary coin-1.0-5/coin/man/MaxTypeIndependenceTestStatistic-class.Rd | 1 - coin-1.0-5/coin/man/QuadTypeIndependenceTestStatistic-class.Rd | 1 - coin-1.0-5/coin/man/ScalarIndependenceTestStatistic-class.Rd | 1 - 11 files changed, 4 insertions(+), 7 deletions(-)
Author: Dimitris Rizopoulos
Diff between bootStepAIC versions 1.1-1 dated 2008-12-15 and 1.2-0 dated 2009-06-04
Title: Bootstrap stepAIC
Description: Model selection by bootstrapping the stepAIC() procedure.
DESCRIPTION | 26 ++++++++++++++------------
R/boot.stepAIC.R | 6 +++---
R/print.BootStep.R | 2 +-
3 files changed, 18 insertions(+), 16 deletions(-)