Thu, 24 May 2012

Package muma updated to version 1.2 with previous version 1.1 dated 2012-05-18

Title: Metabolomic Univariate and Multivariate Analysis
Description: Preprocessing of metabolomic data (normalization and scalings); Principal Component Analysis with help tool for choosing best-separating principal components and automatic outlier testing; automatic univariate analysis for parametric and non-parametric data, with report generation (volcano and box plots); partial least sqaure discriminant analysis (PLS-DA); orthogonal partial least square discriminant analysis (OPLS-DA); Statistical Total Correlation Spectroscopy (STOCSY); Ratio Analysis NMR SpectroscopY (RANSY).
Author: Edoardo Gaude, Francesca Chignola, Dimitrios Spiliotopoulos, Silvia Mari, Andrea Spitaleri and Michela Ghitti
Maintainer: Edoardo gaude

Diff between muma versions 1.1 dated 2012-05-18 and 1.2 dated 2012-05-24

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 7 files changed, 27 insertions(+), 27 deletions(-)

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Package aws updated to version 1.8-0 with previous version 1.7-1 dated 2011-12-11

Title: Adaptive Weights Smoothing
Description: The package contains R-functions implementing the Propagation-Separation Approach to adaptive smoothing as described in J. Polzehl and V. Spokoiny (2006), Propagation-Separation Approach for Local Likelihood Estimation, Prob. Theory and Rel. Fields, 135(3):335--362. and J. Polzehl and V. Spokoiny (2004) Spatially adaptive regression estimation: Propagation-separation approach, WIAS-Preprint 998.
Author: Joerg Polzehl
Maintainer: Joerg Polzehl

Diff between aws versions 1.7-1 dated 2011-12-11 and 1.8-0 dated 2012-05-24

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 42 files changed, 477 insertions(+), 246 deletions(-)

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New package WeightedPortTest with initial version 1.0
Package: WeightedPortTest
Type: Package
Title: Weighted Portmanteau Tests for Time Series Goodness-of-fit
Version: 1.0
Date: 2012-05-24
Author: Thomas J. Fisher and Colin M. Gallagher
Maintainer: Thomas J. Fisher
Description: This packages contains the Weighted Portmanteau Tests as described in "New Weighted Portmanteau Statistics for Time Series Goodness-of-Fit Testing' accepted for publication by the Journal of the American Statistical Association.
License: GPL (>= 3)
Packaged: 2012-05-24 05:14:15 UTC; tjfisher
Repository: CRAN
Date/Publication: 2012-05-24 06:24:13

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Package ModelMap updated to version 2.3.1 with previous version 2.1.1 dated 2011-04-23

Title: Creates Random Forest and Stochastic Gradient Boosting Models, and applies them to GIS .img files to build detailed prediction maps.
Description: This package will create sophisticated models of training data and validate the models with an independant test set, cross validation, or in the case of Random Forest Models, with Out OF Bag (OOB) predictions on the training data. It will creat graphs and tables of the model validation results. It will apply these models to GIS .img files of predictors to create detailed prediction surfaces. It will handle large predictor files for map making, by reading in the .img files in chuncks, and output to the .txt file the prediction for each data chunk, before reading the next chenk of data.
Author: Elizabeth Freeman, Tracey Frescino
Maintainer: Elizabeth Freeman

Diff between ModelMap versions 2.1.1 dated 2011-04-23 and 2.3.1 dated 2012-05-24

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Package dynsurv updated to version 0.1-8 with previous version 0.1-7 dated 2012-03-15

Title: Dynamic models for survival data
Description: Functions to fit time-varying coefficient models for interval censored and right censored survival data. Three major approaches are implemented: 1) Bayesian Cox model with time-independent, time-varying or dynamic coefficients for right censored and interval censored data; 2) Spline based time-varying coefficient Cox model for right censored data; 3) Transformation model with time-varying coefficients for right censored data using estimating equations.
Author: Xiaojing Wang , Jun Yan , and Ming-Hui Chen
Maintainer: Jun Yan

Diff between dynsurv versions 0.1-7 dated 2012-03-15 and 0.1-8 dated 2012-05-24

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 5 files changed, 16 insertions(+), 16 deletions(-)

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Package BinNor updated to version 2.0 with previous version 1.0 dated 2011-11-05

Title: Simultaneous generation of multivariate binary and normal variates.
Description: Generating multiple binary and normal variables simultaneously given marginal characteristics and association structure based on the methodology proposed by Demirtas and Doganay (2012).
Author: Anup Amatya, Hakan Demirtas
Maintainer: Anup Amatya

Diff between BinNor versions 1.0 dated 2011-11-05 and 2.0 dated 2012-05-24

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 12 files changed, 30 insertions(+), 209 deletions(-)

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Package survey updated to version 3.28-1 with previous version 3.28 dated 2012-02-03

Title: analysis of complex survey samples
Description: Summary statistics, two-sample tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. Predictive margins by direct standardization. PPS sampling without replacement. Principal components, factor analysis.
Author: Thomas Lumley
Maintainer: Thomas Lumley

Diff between survey versions 3.28 dated 2012-02-03 and 3.28-1 dated 2012-05-24

 DESCRIPTION                  |    6 +-
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 49 files changed, 335 insertions(+), 288 deletions(-)

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