Author: Jared O'Connell
Diff between mhsmm versions 0.3.0 dated 2009-08-31 and 0.3.1 dated 2009-09-24
Title: Parameter estimation and prediction for hidden Markov and
semi-Markov models for data with multiple observation
sequences.
Description: Parameter estimation and prediction for hidden Markov and
semi-Markov models for data with multiple observation
sequences. Suitable for equidistant time series data, with
multivariate and/or missing data.
ChangeLog | 10 +++++++---
DESCRIPTION | 6 +++---
R/hsmm_functions.R | 1 +
inst/doc/DHMM.pdf |binary
inst/doc/Rplots.pdf | 4 ++--
inst/doc/fig/dhmm-clsfig1.pdf | 4 ++--
inst/doc/fig/dhmm-clsfig2.pdf | 4 ++--
man/hsmmfit.Rd | 2 +-
man/hsmmspec.Rd | 12 ++++++++++--
man/reprocows.Rd | 25 +++++++++++++++++++++++++
10 files changed, 53 insertions(+), 15 deletions(-)
Author: Christopher Jackson
Title: Density strips and other methods for compactly illustrating
distributions
Description: Graphical methods for compactly illustrating probability
distributions, including density strips, density regions,
sectioned density plots and varying width strips.
Diff between denstrip versions 1.3 dated 2009-03-30 and 1.4 dated 2009-09-24
ChangeLog | 12 ++++++++++++ DESCRIPTION | 8 ++++---- R/denstrip.R | 10 +++++----- inst/NEWS | 8 ++++++++ man/denstrip.Rd | 24 +++++++++++++++++++++--- man/denstrip.legend.Rd | 3 ++- 6 files changed, 52 insertions(+), 13 deletions(-)
More information about RcmdrPlugin.DoE at CRAN
Permanent link
Author: Daniel Fischer, Jyrki Möttönen, Klaus Nordhausen, Daniel Vogel
Title: Multivariate Methods Based on the Oja Median and Related
Concepts
Description: The package provides functions for the Oja median, Oja
signs and ranks and methods based upon them.
Diff between OjaNP versions 0.9-2 dated 2009-08-10 and 0.9-3 dated 2009-09-24
DESCRIPTION | 8 ++++---- man/OjaNP-package.Rd | 4 ++-- man/ojaMedian.Rd | 4 +++- man/ojaSign.Rd | 15 ++++----------- 4 files changed, 13 insertions(+), 18 deletions(-)
Author: Dirk Eddelbuettel
Diff between digest versions 0.4.0 dated 2009-09-24 and 0.4.1 dated 2009-09-24
Title: Create cryptographic hash digests of R objects
Description: The digest package provides functions for the creation of
`hash' digests of arbitrary R objects using the md5, sha-1,
sha-256 and crc32 algorithms permitting easy comparison of R
language objects. The md5 algorithm by Ron Rivest is specified
in RFC 1321, the SHA-1 and SHA-256 algorithms are specified in
FIPS-180-1 and FIPS-180-2, and the crc32 algorithm is described
in ftp://ftp.rocksoft.com/cliens/rocksoft/papers/crc_v3.txt.
For md5, sha-1 and sha-256, this packages uses small standalone
C implementations that were provided by Christophe Devine. For
crc32, code from the zlib library is used.
Please note that this package is not meant to be deployed for
cryptographic purposes for which more comprehensive (and widely
tested) libraries such as OpenSSL should be used.
digest-0.4.0/digest/src/Makefile.win |only
digest-0.4.1/digest/DESCRIPTION | 6 +++---
digest-0.4.1/digest/R/digest.R | 2 +-
digest-0.4.1/digest/inst/ChangeLog | 11 +++++++++++
digest-0.4.1/digest/man/digest.Rd | 2 +-
digest-0.4.1/digest/src/digest.c | 4 ++--
6 files changed, 18 insertions(+), 7 deletions(-)
Author: Cathy W. S. Chen, Edward M.H. Lin, F.C. Liu, and Richard
Gerlach
Title: On Bayesian analysis of Threshold autoregressive model (BAYSTAR)
Description: The manuscript introduces the BAYSTAR package, which
provides the functionality for Bayesian estimation in
autoregressive threshold models.
Diff between BAYSTAR versions 0.1-2 dated 2008-08-08 and 0.2-2 dated 2009-09-24
BAYSTAR-0.1-2/BAYSTAR/HISTORY |only BAYSTAR-0.2-2/BAYSTAR/CHANGELOG | 9 + BAYSTAR-0.2-2/BAYSTAR/DESCRIPTION | 25 ++- BAYSTAR-0.2-2/BAYSTAR/R/BAYSTAR.R | 246 ++++++++++++++++++++++++++++------ BAYSTAR-0.2-2/BAYSTAR/R/TAR.summary.R | 4 BAYSTAR-0.2-2/BAYSTAR/man/BAYSTAR.Rd | 119 ++++++++++++---- 6 files changed, 327 insertions(+), 76 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 0.9-998 dated 2009-06-17 and 0.9-999 dated 2009-09-24
DESCRIPTION | 8 - NEWS | 8 + inst/doc/MOB.pdf | 14 - inst/doc/party.pdf |binary man/BinaryTree-class.Rd | 4 man/RandomForest-class.Rd | 8 - man/Transformations.Rd | 2 man/cforest.Rd | 2 man/ctree.Rd | 2 man/ctree_memory.Rd | 2 man/mob.Rd | 10 - man/panelfunctions.Rd | 2 man/plot.BinaryTree.Rd | 2 man/plot.mob.Rd | 3 src/Distributions.c | 47 ++++-- src/Splits.c | 8 - tests/Examples/party-Ex.Rout.save | 260 +++++++++++++++++++---------------- tests/RandomForest-regtest.Rout.save | 90 ++++++------ tests/bugfixes.Rout.save | 12 - 19 files changed, 278 insertions(+), 206 deletions(-)
Author: Hein Putter, Liesbeth de Wreede, Marta Fiocco
Title: Data preparation, estimation and prediction in multi-state
models
Description: Functions for data preparation, descriptives, hazard
estimation and prediction with Aalen-Johansen or simulation in
competing risks and multi-state models
Diff between mstate versions 0.2.1 dated 2009-07-21 and 0.2.2 dated 2009-09-24
Changelog.txt | 11 +++++++++++ DESCRIPTION | 8 ++++---- R/msfit.R | 2 +- inst/CITATION | 1 + inst/doc/Rplots.pdf | 6 +++--- inst/doc/Tutorial.Rnw | 2 +- inst/doc/Tutorial.pdf |binary man/ebmt4.Rd | 2 +- man/mstate-package.Rd | 4 ++-- man/redrank.Rd | 30 ++++++++++++++++++++---------- 10 files changed, 44 insertions(+), 22 deletions(-)
Author: Tim Coelli, Arne Henningsen
Title: Stochastic Frontier Analysis
Description: Maximum Likelihood Estimation of Stochastic Frontier
Production and Cost Functions. Two specifications are
available: the error components specification with time-varying
efficiencies (Battese and Coelli, 1992) and a model
specification in which the firm effects are directly influenced
by a number of variables (Battese and Coelli, 1995).
Diff between frontier versions 0.995-2 dated 2009-09-21 and 0.995-6 dated 2009-09-24
DESCRIPTION | 10 +++++----- INDEX | 1 + NEWS | 11 +++++++++++ R/sfa.R | 10 +++++----- data/telecom.txt |only man/telecom.Rd |only tests/frontier41.Rout.save | 8 -------- tests/frontierTest.Rout.save | 8 -------- tests/nestedModels.Rout.save | 8 -------- tests/translogRay.Rout.save | 8 -------- 10 files changed, 22 insertions(+), 42 deletions(-)
Author: Torben Tvedebrink
Diff between dirmult versions 0.1.1 dated 2009-06-24 and 0.1.2 dated 2009-09-24
Title: Estimation in Dirichlet-Multinomial distribution.
Description: Estimate parameters in Dirichlet-Multinomial and compute
profile log-likelihoods.
DESCRIPTION | 8 ++++----
NAMESPACE | 1 +
R/dirmult.R | 17 +++++++++++++++++
man/simPop.Rd |only
4 files changed, 22 insertions(+), 4 deletions(-)
Author: G. Grothendieck
Diff between sqldf versions 0-1.5 dated 2009-06-07 and 0-1.7 dated 2009-09-24
Title: Perform SQL Selects on R Data Frames
Description: Manipulate R data frames using SQL.
DESCRIPTION | 8 ++++----
R/sqldf.R | 17 +++++++++++++++--
inst/NEWS | 10 ++++++++++
inst/THANKS | 2 +-
inst/TODO | 9 ++++++---
man/read.csv.sql.Rd | 5 +++++
6 files changed, 41 insertions(+), 10 deletions(-)
Author: Gary A. Nelson
Diff between fishmethods versions 0.0-1 dated 2009-01-15 and 1.0-1 dated 2009-09-24
Title: Fisheries Methods and Models in R
Description: Fishery methods and models from Quinn and Deriso (1999),
Haddon(2001) , and literature.
fishmethods-0.0-1/fishmethods/R/depletM.R |only
fishmethods-0.0-1/fishmethods/lf_fluke_northeast.sas |only
fishmethods-0.0-1/fishmethods/man/depletM.Rd |only
fishmethods-0.0-1/fishmethods/testmrfsssas.sas |only
fishmethods-1.0-1/fishmethods/DESCRIPTION | 23 -
fishmethods-1.0-1/fishmethods/INDEX | 157 +++++--
fishmethods-1.0-1/fishmethods/R/LengthIncr.R |only
fishmethods-1.0-1/fishmethods/R/baglimit.R | 24 -
fishmethods-1.0-1/fishmethods/R/bheq1.R | 2
fishmethods-1.0-1/fishmethods/R/bheq2.R | 2
fishmethods-1.0-1/fishmethods/R/bhnoneq.R | 6
fishmethods-1.0-1/fishmethods/R/catchpertrip.R | 47 +-
fishmethods-1.0-1/fishmethods/R/catchseries.R | 28 -
fishmethods-1.0-1/fishmethods/R/combinevar.R |only
fishmethods-1.0-1/fishmethods/R/deplet.R | 413 +++++++++++--------
fishmethods-1.0-1/fishmethods/R/extractMRFSS.R | 2
fishmethods-1.0-1/fishmethods/R/irm_cr.R |only
fishmethods-1.0-1/fishmethods/R/irm_h.R |only
fishmethods-1.0-1/fishmethods/R/lengthfreq.R | 21
fishmethods-1.0-1/fishmethods/R/pstrat.R | 10
fishmethods-1.0-1/fishmethods/R/sbpr.R | 3
fishmethods-1.0-1/fishmethods/R/surveyfit.R |only
fishmethods-1.0-1/fishmethods/R/surveyref.R |only
fishmethods-1.0-1/fishmethods/R/tag_model_avg.R |only
fishmethods-1.0-1/fishmethods/R/vblrt.R | 2
fishmethods-1.0-1/fishmethods/data/Hoenig.rda |only
fishmethods-1.0-1/fishmethods/data/Jiang.rda |only
fishmethods-1.0-1/fishmethods/data/bonito.rda |only
fishmethods-1.0-1/fishmethods/data/wolffish.rda |only
fishmethods-1.0-1/fishmethods/data/yellowtail.rda |only
fishmethods-1.0-1/fishmethods/man/Hoenig.Rd |only
fishmethods-1.0-1/fishmethods/man/Jiang.Rd |only
fishmethods-1.0-1/fishmethods/man/LengthIncr.Rd |only
fishmethods-1.0-1/fishmethods/man/bonito.Rd |only
fishmethods-1.0-1/fishmethods/man/combinevar.Rd |only
fishmethods-1.0-1/fishmethods/man/deplet.Rd | 29 -
fishmethods-1.0-1/fishmethods/man/irm_cr.Rd |only
fishmethods-1.0-1/fishmethods/man/irm_h.Rd |only
fishmethods-1.0-1/fishmethods/man/surveyfit.Rd |only
fishmethods-1.0-1/fishmethods/man/surveyref.Rd |only
fishmethods-1.0-1/fishmethods/man/tag_model_avg.Rd |only
fishmethods-1.0-1/fishmethods/man/wolffish.Rd |only
fishmethods-1.0-1/fishmethods/man/yellowtail.Rd |only
43 files changed, 492 insertions(+), 277 deletions(-)
Author: Dirk Eddelbuettel
Diff between digest versions 0.3.1 dated 2007-09-28 and 0.4.0 dated 2009-09-24
Title: Create cryptographic hash digests of R objects
Description: The digest package provides functions for the creation of
`hash' digests of arbitrary R objects using the md5, sha-1,
sha-256 and crc32 algorithms permitting easy comparison of R
language objects. The md5 algorithm by Ron Rivest is specified
in RFC 1321, the SHA-1 and SHA-256 algorithms are specified in
FIPS-180-1 and FIPS-180-2, and the crc32 algorithm is described
in ftp://ftp.rocksoft.com/cliens/rocksoft/papers/crc_v3.txt.
For md5, sha-1 and sha-256, this packages uses small standalone
C implementations that were provided by Christophe Devine. For
crc32, code from the zlib library is used.
Please note that this package is not meant to be deployed for
cryptographic purposes for which more comprehensive (and widely
tested) libraries such as OpenSSL should be used.
DESCRIPTION | 36 +++++++++++++----------
R/digest.R | 15 +++++----
inst/ChangeLog | 31 +++++++++++++++++---
man/digest.Rd | 68 +++++++++++++++++++++++++--------------------
src/Makefile.win |only
src/digest.c | 56 +++++++++++++++++++++++++++++++++----
src/sha256.c |only
src/sha256.h |only
tests/digestTest.Rout.save | 6 +--
9 files changed, 147 insertions(+), 65 deletions(-)
Author: Kosuke Imai
Diff between MNP versions 2.5-6 dated 2008-03-25 and 2.6-1 dated 2009-09-24
Title: R Package for Fitting the Multinomial Probit Model
Description: MNP is a publicly available R package that fits the
Bayesian multinomial probit model via Markov chain Monte Carlo.
The multinomial probit model is often used to analyze the
discrete choices made by individuals recorded in survey data.
Examples where the multinomial probit model may be useful
include the analysis of product choice by consumers in market
research and the analysis of candidate or party choice by
voters in electoral studies. The MNP software can also fit the
model with different choice sets for each individual, and
complete or partial individual choice orderings of the
available alternatives from the choice set. The estimation is
based on the efficient marginal data augmentation algorithm
that is developed by Imai and van Dyk (2005). ``A Bayesian
Analysis of the Multinomial Probit Model Using the Data
Augmentation,'' Journal of Econometrics, Vol. 124, No. 2
(February), pp. 311-334. Detailed examples are given in Imai
and van Dyk (2005). ``MNP: R Package for Fitting the
Multinomial Probit Model.'' Journal of Statistical Software,
Vol. 14, No. 3 (May), pp. 1-32.
DESCRIPTION | 50 +++++++++++++++++++++++++++-----------------------
MNP.pdf |only
R/mnp.R | 21 ++++++++++++++-------
man/mnp.Rd | 34 +++++++++++++++++++++-------------
src/MNP.c | 10 +++++++++-
5 files changed, 71 insertions(+), 44 deletions(-)