Sorry, we had some problems with the initial sending of our weekly digest which resulted in a rather empty email. Here is the correct version:
CRAN (and crantastic) updates this week New packages ------------ * atm (0.1.0) Charlotte Maia http://crantastic.org/packages/atm An R package for creating additive models with semiparametric predictors, emphasizing term objects, especially (1) implementation of a term class hierarchy, and (2) interpretation and evaluation of term estimates as functions of explanatories. * gnumeric (0.5-1) Karoly Antal http://crantastic.org/packages/gnumeric Read data files readable into R. Can read whole sheet or a range, from several file formats, including the native format of gnumeric. Reading is done by using ssconvert (a file converter utility included in the gnumeric distribution) to convert the requested part to CSV. * KFAS (0.3.1) Jouni Lehtonen http://crantastic.org/packages/KFAS Fast multivariate Kalman filter, smoother, simulation smoother and forecasting. Uses exact diffuse initialisation when distributions of some or all elements of initial state vector are unknown. * munsell (0.1) Charlotte Wickham http://crantastic.org/packages/munsell Functions for exploring and using the Munsell colour system * oosp (0.1.0) Charlotte Maia http://crantastic.org/packages/oosp An R package designed to support object oriented statistical programming, especially by extending S3 capabilities, providing pointer and component objects, and providing basic support for symbolic-numeric statistical programming. * PLIS (1.0) Zhi Wei http://crantastic.org/packages/PLIS PLIS is a multiple testing procedure for testing several groups of hypotheses. Linear dependency is expected from the hypotheses within the same group and is modeled by hidden Markov Models. It is noted that, for PLIS, a smaller p value does not necessarily imply more significance because of dependency among the hypotheses. A typical applicaiton of PLIS is to analyze genome wide association studies datasets, where SNPs from the same chromosome are treated as a group and exhibit strong linear genomic dependency. * rrv (0.0.1) Charlotte Maia http://crantastic.org/packages/rrv An incomplete R package for working with random return variables. The current package provides limited support for formatting money. More features will be added in the future. * ttrTests (1.0) David St John http://crantastic.org/packages/ttrTests Four core functions evaluate the efficacy of a technical trading rule. - Conditional return statistics - Bootstrap resampling statistics - Reality Check for data snooping bias among parameter choices - Robustness, or Persistence, of parameter choices Updated packages ---------------- AdMit (1-01.03), alr3 (1.1.9), alr3 (1.1.10), cmprskContin (1.1), dataframes2xls (0.4.3), digeR (1.2), doBy (4.0.1), DoE.base (0.7), FrF2 (0.97-1), FrF2 (0.97-3), hdrcde (2.10), HH (2.1-30), JM (0.4-0), memisc (0.95-21), minet (2.0.0), MLDS (0.2-0), monomvn (1.7-3), mrt (0.3), nsRFA (0.6-9), PBSmodelling (2.21), plink (1.2-0), plotrix (2.7), RaschSampler (0.8-2), RCurl (1.0-0), rgdal (0.6-14), RSiena (1.0.5), rtv (0.3.0), sdef (1.1), SIS (0.2), spdep (0.4-36) New reviews ----------- * sqldf, by m.e.driscoll http://crantastic.org/reviews/26 * SensoMineR, by padmanabhan.vijayan http://crantastic.org/reviews/25 * plyr, by eamani http://crantastic.org/reviews/24 This email provided as a service for the R community by http://crantastic.org. Like it? Hate it? Please let us know: crana...@gmail.com. On Mon, Aug 24, 2009 at 4:18 PM, Hadley Wickham <crana...@gmail.com> wrote: > CRAN (and crantastic) updates this week > > New packages > ------------ > > > Updated packages > ---------------- > > > > New reviews > ----------- > > > > This email provided as a service for the R community by > http://crantastic.org. > > Like it? Hate it? Please let us know: crana...@gmail.com. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
