Thu, 02 Jul 2009

Package pedigreemm updated to version 0.2-3 with previous version 0.2-2 dated 2009-06-02

Author: Douglas Bates and Ana Ines Vazquez
Title: Pedigree-based mixed-effects models
Description: Fit pedigree-based mixed-effects models.

Diff between pedigreemm versions 0.2-2 dated 2009-06-02 and 0.2-3 dated 2009-07-02

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Package HTMLUtils updated to version 0.1.3 with previous version 0.1.2 dated 2009-06-08

Author: Markus Loecher, Sense Networks
Title: Facilitates automated HTML report creation
Description: Facilitates automated HTML report creation, in particular framed HTML pages and dynamically sortable tables.

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Package lokern updated to version 1.0-8 with previous version 1.0-7 dated 2009-04-03

Author: Eva Herrmann (F77 & S original); Packaged for R and enhanced by Martin Maechler
Title: Kernel Regression Smoothing with Local or Global Plug-in Bandwidth
Description: Kernel regression smoothing with adaptive local or global plug-in bandwidth selection.

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Package pcse updated to version 1.7 with previous version 1.6 dated 2008-11-16

Author: Delia Bailey and Jonathan N. Katz
Title: Panel-Corrected Standard Error Estimation in R
Description: This package contains a function to estimate panel-corrected standard errors. Data may contain balanced or unbalanced panels.

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Package Amelia updated to version 1.2-9 with previous version 1.2-2 dated 2009-04-27

Author: James Honaker , Gary King , Matthew Blackwell
Title: Amelia II: A Program for Missing Data
Description: Amelia II "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables. Unlike Amelia I and other statistically rigorous imputation software, it virtually never crashes (but please let us know if you find to the contrary!). The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The program works from the R command line or via a graphical user interface that does not require users to know R.

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Package spatstat updated to version 1.16-0 with previous version 1.15-4 dated 2009-06-16

Author: Adrian Baddeley and Rolf Turner , with substantial contributions of code by Marie-Colette van Lieshout, Rasmus Waagepetersen, Kasper Klitgaard Berthelsen and Dominic Schuhmacher. Additional contributions by Ang Qi Wei, C. Beale, B. Biggerstaff, R. Bivand, F. Bonneu, J. Burgos, J.B. Chen, Y.C. Chin, M. de la Cruz, P.J. Diggle, S. Eglen, A. Gault, M. Genton, P. Grabarnik, C. Graf, J. Franklin, U. Hahn, M. Hering, M.B. Hansen, M. Hazelton, J. Heikkinen, K. Hornik, R. Ihaka, R. John-Chandran, D. Johnson, J. Laake, J. Mateu, P. McCullagh, X.C. Mi, J. Moller, L.S. Nielsen, E. Parilov, J. Picka, M. Reiter, B.D. Ripley, B. Rowlingson, J. Rudge, A. Sarkka, K. Schladitz, B.T. Scott, I.-M. Sintorn, M. Spiess, M. Stevenson, P. Surovy, B. Turlach, A. van Burgel, H. Wang and S. Wong.
Title: Spatial Point Pattern analysis, model-fitting, simulation, tests
Description: A package for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Contains functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, and pixel images. Point process models can be fitted to point pattern data. Cluster type models are fitted by the method of minimum contrast. Very general Gibbs point process models can be fitted to point pattern data using a function ppm similar to lm or glm. Models may include dependence on covariates, interpoint interaction and dependence on marks. Fitted models can be simulated automatically. Also provides facilities for formal inference (such as chi-squared tests) and model diagnostics (including simulation envelopes, residuals, residual plots and Q-Q plots).

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Package Metabonomic updated to version 3.2.1 with previous version 3.2 dated 2009-07-01

Author: Jose L. Izquierdo Instituto de Estudios Biofuncionales(U.C.M.).
Title: GUI for Metabonomic Analysis
Description: Graphical User Interface for the Metabonomic Analysis (Baseline, Normalization, Peak Detection, PCA, PLS, Nearest Neigbourgt, Neural Network) developed to make easy this data analysis.

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Package tlemix updated to version 0.0.6 with previous version 0.0.5 dated 2009-05-06

Author: P. Neytchev, P. Filzmoser, R. Patnaik, A. Eisl and R. Boubela
Title: Trimmed Maximum Likelihood Estimation
Description: TLE implements a general framework for robust fitting of finite mixture models. Parameter estimation is performed using the EM algorithm.

Diff between tlemix versions 0.0.5 dated 2009-05-06 and 0.0.6 dated 2009-07-02

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Package SweaveListingUtils updated to version 0.3 with previous version 0.2 dated 2009-04-15

Author: Peter Ruckdeschel
Title: Utilities for Sweave together with TeX listings package
Description: provides utilities for defining R / Rd as Tex-package-listings "language" and including R / Rd source file (sniplets) copied from R-forge in its most recent version (or another url) thereby avoiding inconsistencies between vignette and documented source code

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Package mixtools updated to version 0.4.1 with previous version 0.4.0 dated 2009-04-28

Author: Derek Young Tatiana Benaglia Didier Chauveau Ryan Elmore Tom Hettmansperger David Hunter Hoben Thomas Fengjuan Xuan
Title: Tools for analyzing finite mixture models
Description: A collection of R functions for analyzing finite mixture models. This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772.

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New package speff2trial with initial version 1.0.0
Package: speff2trial
Version: 1.0.0
Date: 2009-07-01
Title: Semiparametric efficient estimation for a two-sample treatment effect
Author: Michal Juraska , with contributions from Peter B. Gilbert , Min Zhang , Marie Davidian , Anastasios A. Tsiatis and Xiaomin Lu
Maintainer: Michal Juraska
Depends: R (>= 2.7.2), leaps
Description: The package performs estimation and testing of the treatment effect in a 2-group randomized clinical trial with a quantitative or dichotomous endpoint. The method is a special case of Robins, Rotnitzky, and Zhao (1994, JASA). It improves efficiency by leveraging baseline predictors of the endpoint. The method uses inverse probability weighting to provide unbiased estimation when the endpoint is missing at random.
License: GPL-2
LazyLoad: yes
LazyData: yes
Packaged: Wed Jul 1 13:37:21 2009; mjuraska
Repository: CRAN
Date/Publication: 2009-07-02 06:52:09

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Package gsubfn updated to version 0.5-0 with previous version 0.3-8 dated 2008-12-15

Author: G. Grothendieck
Title: Utilities for strings and function arguments.
Description: gsubfn is like gsub but can take a replacement function or certain other objects instead of the replacement string. Matches and back references are input to the replacement function and replaced by the function output. gsubfn can be used to split strings based on content rather than delimiters and for quasi-perl-style string interpolation. The package also has facilities for translating formulas to functions and allowing such formulas in function calls instead of functions. This can be used with R functions such as apply, sapply, lapply, optim, integrate, xyplot, Filter and any other function that expects another function as an input argument or functions like cat or sql calls that may involve strings where substitution is desirable.

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Package gstat updated to version 0.9-61 with previous version 0.9-60 dated 2009-05-15

Author: Edzer J. Pebesma and others
Title: geostatistical modelling, prediction and simulation
Description: variogram modelling; simple, ordinary and universal point or block (co)kriging, sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions.

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Package gmm updated to version 1.0-7 with previous version 1.0-6 dated 2009-05-12

Author: Pierre Chausse
Title: Generalized Method of Moments and Generalized Empirical Likelihood
Description: It is a complete suite to estimate models based on moment conditions. It includes the two step Generalized method of moments (GMM) of Hansen(1982), the iterated GMM and continuous updated estimator (CUE) of Hansen-Eaton-Yaron(1996) and several methods that belong to the Generalized Empirical Likelihood (GEL) family of estimators, as presented by Smith(1997), Kitamura(1997), Newey-Smith(2004) and Anatolyev(2005).

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Package flexclust updated to version 1.2-1 with previous version 1.2-0 dated 2009-06-19

Author: Friedrich Leisch
Title: Flexible Cluster Algorithms
Description: The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.

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