[R] CRAN (and crantastic) updates this week

Mon Sep 14 01:40:09 CEST 2009

CRAN (and crantastic) updates this week

New packages
------------

* ant (0.0-6)
  Romain Francois
  http://crantastic.org/packages/ant

  Version of the ant apache build tool, with a few R specific tasks to
  ease use of ant within an R package

* caroline (0.1-1)
  David M. Schruth
  http://crantastic.org/packages/caroline

* CircNNTSR (0.1)
  Maria Mercedes Gregorio-Dominguez
  http://crantastic.org/packages/CircNNTSR

  Functions for the analysis of circular data using distributions based
  on Nonnegative Trigonometric Sums (NNTS). Functions for calculation
  of densities and distributions, the estimation of parameters,
  plotting and more

* expsmooth (2.00)
  Rob J Hyndman
  http://crantastic.org/packages/expsmooth

  Data sets from the book "Forecasting with exponential smoothing: the
  state space approach" by Hyndman, Koehler, Ord and Snyder (Springer,
  2008).

* farmR (1.0)
  Ira R. Cooke
  http://crantastic.org/packages/farmR

  A mixed integer description of an arable farm. Finds optimal farming
  plans given economic and social preference information.

* fds (1.0)
  Han Lin Shang
  http://crantastic.org/packages/fds

  Functional data sets

* fma (2.00)
  Rob J Hyndman
  http://crantastic.org/packages/fma

  All data sets from "Forecasting: methods and applications" by
  Makridakis, Wheelwright & Hyndman (Wiley, 3rd ed., 1998).

* forecast (2.00)
  Rob J Hyndman
  http://crantastic.org/packages/forecast

  Methods and tools for displaying and analysing univariate time series
  forecasts including exponential smoothing via state space models and
  automatic ARIMA modelling.

* ftsa (1.0)
  Han Lin Shang
  http://crantastic.org/packages/ftsa

  Functions for functional time series

* gamm4 (0.0-1)
  Simon Wood
  http://crantastic.org/packages/gamm4

  Fit generalized additive mixed models via a version of mgcv's gamm
  function, using lme4 for estimation via Fabian Scheipl's trick.

* Geneclust (1.0.0)
  Sophie Ancelet
  http://crantastic.org/packages/Geneclust

  Simulation and analysis of spatial structure of population genetics
  data

* marelacTeaching (1.0)
  Karline Soetaert
  http://crantastic.org/packages/marelacTeaching

  Datasets and tutorials for use in the MArine, Riverine, Estuarine,
  LAcustrine and Coastal sciences

* maticce (0.9-2)
  Andrew Hipp
  http://crantastic.org/packages/maticce

  Tools for an information-theoretic approach to estimating the
  probability of continuous character transitions on phylogenetic
  trees

* Mcomp (2.00)
  Rob J Hyndman
  http://crantastic.org/packages/Mcomp

  The 1001 time series from the M-competition (Makridakis et al. 1982)
  and the 3003 time series from the IJF-M3 competition (Makridakis and
  Hibon, 2000).

* MLCM (0.0-1)
  Ken Knoblauch
  http://crantastic.org/packages/MLCM

  Conjoint measurement is a psychophysical procedure in which stimulus
  pairs are presented that vary along n > 2 dimensions and the
  observer is required to compare the stimuli along one of them.  This
  package contains functions to estimate the contribution of the n
  scales to the judgment by a maximum likelihood method under several
  hypotheses of how the perceptual dimensions interact.

* rms (2.0-2)
  Frank E Harrell Jr
  http://crantastic.org/packages/rms

  Regression modeling, testing, estimation, validation, graphics,
  prediction, and typesetting by storing enhanced model design
  attributes in the fit.  rms is a collection of about 180 functions
  that assist and streamline modeling, especially for biostatistical
  and epidemiologic applications.  It also contains new functions for
  binary and ordinal logistic regression models and the Buckley-James
  multiple regression model for right-censored responses, and
  implements penalized maximum likelihood estimation for logistic and
  ordinary linear models.  rms works with almost any regression model,
  but it was especially written to work with binary or ordinal
  logistic regression, Cox regression, accelerated failure time
  models, ordinary linear models, the Buckley-James model, generalized
  least squares for serially or spatially correlated observations,
  generalized linear models, and quantile regression.

* RPMM (1.0)
  E. Andres Houseman
  http://crantastic.org/packages/RPMM

  Recursively Partitioned Mixture Model for Beta and Gaussian Mixtures.
  This is a model-based clustering algorithm that returns a hierarchy
  of classes, similar to hierarchical clustering, but also similar to
  finite mixture models.

* sos (1.1-3)
  Spencer Graves
  http://crantastic.org/packages/sos

  R related Search Engines

* tikzDevice (0.4.7)
  The tikzDevice team:
  http://crantastic.org/packages/tikzDevice

  The TikZ device enables LaTeX-ready output from R graphics functions.
  This is done by producing code that can be understood by the TikZ
  graphics language. All text in a graphic output with the tikz()
  function will can be typeset by LaTeX and therefore will match
  whatever fonts are currently used in the document. This also means
  that LaTeX mathematics can be typeset directly into labels and
  annotations!  Graphics produced this way can also be annotated with
  custom TikZ commands.

* tm.plugin.mail (0.0-1)
  Ingo Feinerer
  http://crantastic.org/packages/tm-plugin-mail

  A plug-in for the tm text mining framework providing mail handling
  functionality.

Updated packages
----------------

alr3 (1.1.11), ant (0.0-6), aroma.affymetrix (1.2.0), aroma.core
(1.2.0), bestglm (0.13), Bhat (0.9-09), bigmemory (3.11), bipartite
(1.02), Brobdingnag (1.1-7), chron (2.3-31), clue (0.3-31), coin
(1.0-6), date (1.2-28), doBy (4.0.2), DoE.base (0.9-1), DoE.base
(0.9), DoE.wrapper (0.6-1), dti (0.8-1), dynlm (0.2-3), eiPack
(0.1-5), emu (4.1), ensembleBMA (4.3.1), ensembleBMA (4.3.2), ez
(1.4), FinTS (0.4-2), frbf (1.0), FrF2 (0.97-8), gam (1.0.1), GeneReg
(1.1.0), gmm (1.1-1), GOSim (1.2), gWidgets (0.0-37), gWidgets
(0.0-36), gWidgetsRGtk2 (0.0-54), gWidgetstcltk (0.0-30),
hyperdirichlet (1.3-0), hypergeo (1.2-1), ICSNP (1.0-5), introgress
(1.2), ipred (0.8-8), lsa (0.63-1), marelac (2.0), maxstat (0.7-13),
mc2d (0.1-6), MCMCpack (1.0-4), mgcv (1.5-6), multcomp (1.1-2), oz
(1.0-18), polynom (1.3-6), Pomic (1.0.1), qtl (1.13-7), R.cache
(0.1.8), R.oo (1.5.0), R.utils (1.2.0), rgl (0.87), Rmpfr (0.1-7),
Rsac (0.1-8), slam (0.1-5), spcosa (0.1-5), survival (2.35-7),
survival (2.35-6), svcR (1.6.1), svcR (1.6.2), tm (0.5), tnet (0.1.1),
tseries (0.10-20), vegan (1.15-4), wordnet (0.1-5), yaml (1.1.0)

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