Mon, 16 Mar 2015

Package histmdl updated to version 0.4-1 with previous version 0.3-2 dated 2015-03-10

Title: A Most Informative Histogram-Like Model
Description: Using the MDL principle, it is possible to estimate parameters for a histogram-like model. The package contains the implementation of such an estimation method.
Author: Jouke Witteveen
Maintainer: Jouke Witteveen

Diff between histmdl versions 0.3-2 dated 2015-03-10 and 0.4-1 dated 2015-03-16

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 histmdl-0.4-1/histmdl/R/histmdl.R            |    9 ++++++---
 histmdl-0.4-1/histmdl/man/histmdl-package.Rd |    4 ++--
 7 files changed, 15 insertions(+), 18 deletions(-)

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New package kfigr with initial version 1.1.0
Package: kfigr
Title: Integrated Code Chunk Anchoring and Referencing for R Markdown Documents
Version: 1.1.0
Date: 2015-03-16
Author: Michael Koohafkan
Maintainer: Michael Koohafkan
Description: A streamlined cross-referencing system for R Markdown documents generated with 'knitr'. R Markdown is an authoring format for generating dynamic content from R. 'kfigr' provides a hook for anchoring code chunks and a function to cross-reference document elements generated from said chunks, e.g. figures and tables.
Depends: R (>= 3.1.0)
Imports: knitr (>= 1.6)
Suggests: ggplot2
LazyData: true
VignetteBuilder: knitr
License: GPL (>= 3)
URL: https://github.com/mkoohafkan/kfigr
BugReports: https://github.com/mkoohafkan/kfigr/issues
Packaged: 2015-03-16 17:04:31 UTC; Michael
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-17 00:20:06

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Package survRM2 updated to version 1.0-1 with previous version 1.0 dated 2015-02-05

Title: Comparing Restricted Mean Survival Time
Description: Performs two-sample comparisons using the restricted mean survival time (RMST) as a summary measure of the survival time distribution. Three kinds of between-group contrast metrics (i.e., the difference in RMST, the ratio of RMST and the ratio of the restricted mean time lost (RMTL)) are computed. It performs an ANCOVA-type covariate adjustment as well as unadjusted analyses for those measures.
Author: Hajime Uno, Lu Tian, Angel Cronin, Chakib Battioui
Maintainer: Hajime Uno

Diff between survRM2 versions 1.0 dated 2015-02-05 and 1.0-1 dated 2015-03-16

 survRM2-1.0-1/survRM2/DESCRIPTION                       |    8 +++----
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New package radiant with initial version 0.1.71
Package: radiant
Title: Business Analytics using R and Shiny
Version: 0.1.71
Date: 2015-3-16
Authors@R: person("Vincent", "Nijs", , "radiant@rady.ucsd.edu", c("aut", "cre"))
Description: A platform-independent browser-based interface for business analytics in R, based on the Shiny package.
Depends: R (>= 3.1.0), lubridate (>= 1.3.3), ggplot2 (>= 1.0.0), dplyr (>= 0.4.1), magrittr (>= 1.5)
Imports: car (>= 2.0.22), MASS (>= 7.3), gridExtra (>= 0.9.1), AlgDesign (>= 1.1.7.3), GPArotation (>= 2014.11.1), psych (>= 1.4.8.11), wordcloud (>= 2.5), markdown (>= 0.7.4), knitr (>= 1.8), ggdendro (>= 0.1.15), broom (>= 0.3.6), tidyr (>= 0.2.0), pryr (>= 0.1), shiny (>= 0.11.1), shinyAce (>= 0.1.0)
Suggests: rmarkdown (>= 0.4.2), ggvis (>= 0.4), testthat (>= 0.9.1)
URL: https://github.com/mostly-harmless/radiant, http://mostly-harmless.github.io/radiant/
BugReports: https://github.com/mostly-harmless/radiant/issues
License: AGPL-3 | CC BY-NC-SA 4.0
LazyData: true
Packaged: 2015-03-16 18:18:05 UTC; vnijs
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-17 00:11:12

More information about radiant at CRAN
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Package mixexp updated to version 1.2.1 with previous version 1.1.9 dated 2014-12-13

Title: Design and Analysis of Mixture Experiments
Description: Functions for creating designs for mixture experiments, making ternary contour plots, and making mixture effect plots.
Author: John Lawson [aut, cre], Cameron Willden [aut], Greg Piepel [ctb]
Maintainer: John Lawson

Diff between mixexp versions 1.1.9 dated 2014-12-13 and 1.2.1 dated 2015-03-16

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Package marked updated to version 1.1.8 with previous version 1.1.6 dated 2014-06-17

Title: Mark-Recapture Analysis for Survival and Abundance Estimation
Description: Functions for fitting various models to capture-recapture data including fixed and mixed-effects Cormack-Jolly-Seber(CJS) for survival estimation and POPAN structured Jolly-Seber models for abundance estimation. Includes a CJS models that concurrently estimates and corrects for tag loss. Hidden Markov model (HMM) implementations of CJS and multistate models with and without state uncertainty.
Author: Jeff Laake , Devin Johnson , Paul Conn
Maintainer: Jeff Laake

Diff between marked versions 1.1.6 dated 2014-06-17 and 1.1.8 dated 2015-03-16

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More information about marked at CRAN
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Package BayesFactor updated to version 0.9.11 with previous version 0.9.10-2 dated 2015-02-09

Title: Computation of Bayes Factors for Common Designs
Description: A suite of functions for computing various Bayes factors for simple designs, including contingency tables, one- and two-sample designs, one-way designs, general ANOVA designs, and linear regression.
Author: Richard D. Morey [aut, cre], Jeffrey N. Rouder [aut], Tahira Jamil [ctb]
Maintainer: Richard D. Morey

Diff between BayesFactor versions 0.9.10-2 dated 2015-02-09 and 0.9.11 dated 2015-03-16

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Package zoo updated to version 1.7-12 with previous version 1.7-11 dated 2014-02-27

Title: S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)
Description: An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.
Author: Achim Zeileis [aut, cre], Gabor Grothendieck [aut], Jeffrey A. Ryan [aut], Felix Andrews [ctb]
Maintainer: Achim Zeileis

Diff between zoo versions 1.7-11 dated 2014-02-27 and 1.7-12 dated 2015-03-16

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Package SIS updated to version 0.7-5 with previous version 0.7-4 dated 2014-08-01

Title: Sure Independence Screening
Description: Variable selection techniques are essential tools for model selection and estimation in high-dimensional statistical models. Through this publicly available package, we provide a unified environment to carry out variable selection using iterative sure independence screening (SIS) and all of its variants in generalized linear models and the Cox proportional hazards model.
Author: Jianqing Fan, Yang Feng, Diego Franco Saldana, Richard Samworth, Yichao Wu
Maintainer: Diego Franco Saldana

Diff between SIS versions 0.7-4 dated 2014-08-01 and 0.7-5 dated 2015-03-16

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Package gvcm.cat updated to version 1.9 with previous version 1.8 dated 2015-03-04

Title: Regularized Categorical Effects/Categorical Effect Modifiers/Continuous/Smooth Effects in GLMs
Description: Generalized structured regression models with regularized categorical effects, categorical effect modifiers, continuous effects and smooth effects.
Author: Margret Oelker
Maintainer: Margret Oelker

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New package ROCS with initial version 1.2
Package: ROCS
Type: Package
Title: Receiver Operating Characteristics Surface
Version: 1.2
Date: 2015-03-08
Author: Tianwei Yu
Maintainer: Tianwei Yu
Description: Plots the Receiver Operating Characteristics Surface for high-throughput class-skewed data, calculates the Volume under the Surface (VUS) and the FDR-Controlled Area Under the Curve (FCAUC), and conducts tests to compare two ROC surfaces.
License: GPL-2
Depends: rgl
Packaged: 2015-03-16 15:08:05 UTC; tianwei
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-16 17:15:15

More information about ROCS at CRAN
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Package plotROC updated to version 1.3.3 with previous version 1.3 dated 2015-01-27

Title: Generate Useful ROC Curve Charts for Print and Interactive Use
Description: Most ROC curve plots obscure the cutoff values and inhibit interpretation and comparison of multiple curves. This attempts to address those shortcomings by providing plotting and interactive tools. Functions are provided to generate an interactive ROC curve plot for web use, and print versions. A Shiny application implementing the functions is also included.
Author: Michael C Sachs
Maintainer: Michael C Sachs

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Package ChemoSpec updated to version 4.0.1 with previous version 4.0-0 dated 2015-03-10

Title: Exploratory Chemometrics for Spectroscopy
Description: A collection of functions for plotting spectra (NMR, IR, Raman) and carrying out various forms of top-down exploratory data analysis, such as HCA, PCA, model-based clustering and STOCSY analysis. Robust methods appropriate for this type of high-dimensional data are available. ChemoSpec is designed with metabolomics data sets in mind, where the samples fall into groups such as treatment and control. Graphical output is formatted consistently for publication quality plots. ChemoSpec is intended to be very user friendly and help you get usable results quickly. A vignette illustrating typical operations is available.
Author: Bryan A. Hanson DePauw University, Greencastle Indiana USA
Maintainer: Bryan A. Hanson

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Package spdep updated to version 0.5-87 with previous version 0.5-86 dated 2015-03-15

Title: Spatial Dependence: Weighting Schemes, Statistics and Models
Description: A collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial autocorrelation, including global Moran's I, APLE, Geary's C, Hubert/Mantel general cross product statistic, Empirical Bayes estimates and Assunção/Reis Index, Getis/Ord G and multicoloured join count statistics, local Moran's I and Getis/Ord G, saddlepoint approximations and exact tests for global and local Moran's I; and functions for estimating spatial simultaneous autoregressive (SAR) lag and error models, impact measures for lag models, weighted and unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial two stage least squares models.
Author: Roger Bivand [cre, aut], Micah Altman [ctb], Luc Anselin [ctb], Renato Assunção [ctb], Olaf Berke [ctb], Andrew Bernat [ctb], Guillaume Blanchet [ctb], Eric Blankmeyer [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Stéphane Dray [ctb], Virgilio Gómez-Rubio [ctb], Rein Halbersma [ctb], Elias Krainski [ctb], Pierre Legendre [ctb], Nicholas Lewin-Koh [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Giovanni Millo [ctb], Werner Mueller [ctb], Hisaji Ono [ctb], Pedro Peres-Neto [ctb], Gianfranco Piras [ctb], Markus Reder [ctb], Michael Tiefelsdorf [ctb], Danlin Yu [ctb]
Maintainer: Roger Bivand

Diff between spdep versions 0.5-86 dated 2015-03-15 and 0.5-87 dated 2015-03-16

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New package VCA with initial version 1.1
Package: VCA
Version: 1.1
Date: 2015-03-16
Title: Variance Component Analysis
Author: Andre Schuetzenmeister
Maintainer: Andre Schuetzenmeister
Depends: R (>= 3.0.0), stats
Imports: Matrix, numDeriv
Description: ANOVA-type estimation (prediction) of random effects and variance components in linear mixed models, is implemented. Random models, a sub-set of mixed models, can be fit applying a Variance Component Analysis (VCA). This is a special type of analysis frequently used in verifying the precision performance of diagnostics. The Satterthwaite approximation of the total degrees of freedom is implemented. There are several functions for extracting, random effects, fixed effects, variance-covariance matrices of random and fixed effects. Residuals can be extracted as raw, standardized and studentized residuals. Additionally, a variability chart is implemented for visualizing the variability in sub-classes emerging from an experimental design ('varPlot').
License: GPL (>= 3)
Collate: 'plot.R' 'vca.R'
Packaged: 2015-03-16 07:51:45 UTC; schueta6
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-16 10:29:47

More information about VCA at CRAN
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Package PRISMA updated to version 0.2-5 with previous version 0.2-3 dated 2015-03-03

Title: Protocol Inspection and State Machine Analysis
Description: The PRISMA package is capable of loading and processing huge text corpora processed with the sally toolbox (http://www.mlsec.org/sally/). sally acts as a very fast preprocessor which splits the text files into tokens or n-grams. These output files can then be read with the PRISMA package which applies testing-based token selection and has some replicate-aware, highly tuned non-negative matrix factorization and principal component analysis implementation which allows the processing of very big data sets even on desktop machines.
Author: Tammo Krueger, Nicole Kraemer
Maintainer: Tammo Krueger

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New package nnlasso with initial version 0.1
Package: nnlasso
Type: Package
Title: Non-Negative Lasso and Elastic Net Penalized Generalized Linear Models
Version: 0.1
Date: 2015-03-13
Author: B N Mandal and Jun Ma
Maintainer: B N Mandal
Depends: R (>= 3.1.3)
Description: Estimates of coefficients of lasso penalized linear regression and generalized linear models subject to non-negativity constraints on the parameters using multiplicative iterative algorithm. Entire regularization path for a sequence of lambda values can be obtained. Functions are available for creating plots of regularization path, cross validation and estimating coefficients at a given lambda value. There is also provision for obtaining standard error of coefficient estimates.
License: GPL (>= 2)
Packaged: 2015-03-16 06:56:45 UTC; Lenovo
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-16 08:46:31

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Package genalg updated to version 0.2.0 with previous version 0.1.1.1 dated 2014-01-10

Title: R Based Genetic Algorithm
Description: R based genetic algorithm for binary and floating point chromosomes.
Author: Egon Willighagen and Michel Ballings
Maintainer: Michel Ballings

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Package choroplethr updated to version 3.0.0 with previous version 2.1.1 dated 2014-12-11

Title: Simplify the Creation of Choropleth Maps in R
Description: Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. choroplethr simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. Please see the vignettes for more details.
Author: Ari Lamstein [cre, aut], Brian P Johnson [ctb, frontend animation code]
Maintainer: Ari Lamstein

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 127 files changed, 494 insertions(+), 582 deletions(-)

More information about choroplethr at CRAN
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