Wed, 03 Dec 2014

Package NPS updated to version 1.1 with previous version 1.0 dated 2014-04-07

Title: Convenience Functions and Tests for Working With the Net Promoter Score (NPS)
Description: Small functions to make working with survey data in the context of a Net Promoter programme easier. Specifically, data transformation methods, some methods for examining the statistical properties of the NPS, such as its variance and standard errors, and some simple inferential testing procedures. Net Promoter and NPS are registered trademarks of Bain & Company, Satmetrix Systems and Fred Reichheld.
Author: Brendan Rocks
Maintainer: Brendan Rocks

Diff between NPS versions 1.0 dated 2014-04-07 and 1.1 dated 2014-12-03

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Package LeafAngle updated to version 1.2-1 with previous version 1.2 dated 2012-12-19

Title: Analysis and Visualization of Plant Leaf Angle Distributions
Description: A leaf angle distribution is a special distribution that is defined between 0 and 90 degrees, and a number of distributions are used to characterize the leaf angle distribution in real plant canopies. This package includes methods to fit distributions to data, visualize the fit, and compare fits of nine different distributions.
Author: Remko Duursma
Maintainer: Remko Duursma

Diff between LeafAngle versions 1.2 dated 2012-12-19 and 1.2-1 dated 2014-12-03

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Package extWeibQuant updated to version 1.1 with previous version 1.0 dated 2014-04-11

Title: Estimate Lower Extreme Quantile with the Censored Weibull MLE and Censored Weibull Mixture
Description: It implements the subjectively censored Weibull MLE and censored Weibull mixture methods for the lower quantile estimation. Quantile estimates from these two methods are robust to model misspecification in the lower tail. It also includes functions to evaluation the standard error of the resulting quantile estimates. Also, the methods here can be used to fit the Weibull or Weibull mixture for the Type-I or Type-II right censored data.
Author: Yang (Seagle) Liu
Maintainer: Yang (Seagle) Liu

Diff between extWeibQuant versions 1.0 dated 2014-04-11 and 1.1 dated 2014-12-03

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Package stratification updated to version 2.2-4 with previous version 2.2-3 dated 2012-11-13

Title: Univariate Stratification of Survey Populations
Description: Univariate stratification of survey populations with a generalization of the Lavallee-Hidiroglou method of stratum construction. The generalized method takes into account a discrepancy between the stratification variable and the survey variable. The determination of the optimal boundaries also incorporate, if desired, an anticipated non-response, a take-all stratum for large units, a take-none stratum for small units, and a certainty stratum to ensure that some specific units are in the sample. The well known cumulative root frequency rule of Dalenius and Hodges and the geometric rule of Gunning and Horgan are also implemented.
Author: Sophie Baillargeon and Louis-Paul Rivest
Maintainer: Louis-Paul Rivest

Diff between stratification versions 2.2-3 dated 2012-11-13 and 2.2-4 dated 2014-12-03

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New package sensitivityPStrat with initial version 1.0-6
Package: sensitivityPStrat
Type: Package
Title: Principal Stratification Sensitivity Analysis Functions
Version: 1.0-6
Date: 2014-11-04
Author: Charles Dupont, Bryan Shepherd
Maintainer: Charles Dupont
Description: This package provides functions to perform principal stratification sensitivity analyses on datasets.
Imports: stats, survival
License: GPL
LazyLoad: yes
Packaged: 2014-12-03 15:40:49 UTC; dupontct
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-12-04 00:14:37

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Package ROAuth updated to version 0.9.5 with previous version 0.9.3 dated 2013-04-26

Title: R Interface For OAuth
Description: Provides an interface to the OAuth 1.0 specification allowing users to authenticate via OAuth to the server of their choice.
Author: Jeff Gentry , Duncan Temple Lang
Maintainer: Jeff Gentry

Diff between ROAuth versions 0.9.3 dated 2013-04-26 and 0.9.5 dated 2014-12-03

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Package randomUniformForest updated to version 1.1.1 with previous version 1.1.0 dated 2014-11-10

Title: Random Uniform Forests for Classification, Regression and Unsupervised Learning
Description: Ensemble model, for classification, regression and unsupervised learning, based on a forest of unpruned and randomized binary decision trees. Each tree is grown by sampling, with replacement, a set of variables at each node. Each cut-point is generated randomly, according to the continuous Uniform distribution. For each tree, data are either bootstrapped or subsampled. The unsupervised mode introduces clustering, dimension reduction and variable importance, using a three-layer engine. Random Uniform Forests are mainly aimed to lower correlation between trees (or trees residuals), to provide a deep analysis of variable importance and to allow native distributed and incremental learning.
Author: Saip Ciss
Maintainer: Saip Ciss

Diff between randomUniformForest versions 1.1.0 dated 2014-11-10 and 1.1.1 dated 2014-12-03

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Package MasterBayes updated to version 2.52 with previous version 2.51 dated 2014-03-20

Title: ML and MCMC Methods for Pedigree Reconstruction and Analysis
Description: The primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
Author: Jarrod Hadfield
Maintainer: Jarrod Hadfield

Diff between MasterBayes versions 2.51 dated 2014-03-20 and 2.52 dated 2014-12-03

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Package HGNChelper updated to version 0.3.1 with previous version 0.3.0 dated 2014-03-21

Title: Handy Functions for Working With HGNC Gene Symbols and Affymetrix Probeset Identifiers.
Description: Contains functions for identifying and correcting HGNC gene symbols which have been converted to date format by Excel, for reversibly converting between HGNC symbols and valid R names, identifying invalid HGNC symbols and correcting synonyms and outdated symbols which can be mapped to an official symbol.
Author: Levi Waldron and Markus Riester
Maintainer: Levi Waldron

Diff between HGNChelper versions 0.3.0 dated 2014-03-21 and 0.3.1 dated 2014-12-03

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Package GoFKernel updated to version 2.0-5 with previous version 2.0-4 dated 2014-08-26

Title: Testing Goodness-of-fit with the Kernel Density Estimator
Description: Tests of goodness-of-fit based on kernel smoothing of the data
Author: Jose M. Pavia
Maintainer: Jose M. Pavia

Diff between GoFKernel versions 2.0-4 dated 2014-08-26 and 2.0-5 dated 2014-12-03

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Package geeM updated to version 0.7.2 with previous version 0.7.1 dated 2014-04-26

Title: Fit Generalized Estimating Equations
Description: Allows generalized estimating equation fits with user-specified link and variance functions.
Author: Lee S. McDaniel and Nick Henderson
Maintainer: Lee S. McDaniel

Diff between geeM versions 0.7.1 dated 2014-04-26 and 0.7.2 dated 2014-12-03

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Package dcGOR updated to version 1.0.4 with previous version 1.0.3 dated 2014-09-25

Title: Analysis of ontologies and protein domain annotations
Description: The package is used to analyse domain-centric ontologies and annotations, particularly those in the dcGO database. The dcGO (http://supfam.org/SUPERFAMILY/dcGO) is a comprehensive domain-centric database for annotating protein domains using a panel of ontologies including Gene Ontology. With the package, users are expected to analyse and visualise domain-centric ontologies and annotations. Supported analyses include but are not limited to: easy access to a wide range of ontologies and their domain-centric annotations; able to build customised ontologies and annotations; domain-based enrichment analysis and visualisation; construction of a domain (semantic similarity) network according to ontology annotations; significance analysis for estimating a contact (statistical significance) network via Random Walk with Restart; and high-performance parallel computing. The under-development functionalities are: 1) to create domain-centric ontologies; 2) to predict ontology terms for input protein sequences, precisely domain content in the form of architectures; 3) to reconstruct ancestral discrete characters using maximum likelihood/parsimony.
Author: Hai Fang and Julian Gough
Maintainer: Hai Fang

Diff between dcGOR versions 1.0.3 dated 2014-09-25 and 1.0.4 dated 2014-12-03

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Package BEDASSLE updated to version 1.5 with previous version 1.4 dated 2014-06-10

Title: Quantifies effects of geo/eco distance on genetic differentiation
Description: provides functions that allow users to quantify the relative contributions of geographic and ecological distances to empirical patterns of genetic differentiation on a landscape. Specifically, we use a custom Markov chain Monte Carlo (MCMC) algorithm, which is used to estimate the parameters of the inference model, as well as functions for performing MCMC diagnosis and assessing model adequacy.
Author: Gideon Bradburd
Maintainer: Gideon Bradburd

Diff between BEDASSLE versions 1.4 dated 2014-06-10 and 1.5 dated 2014-12-03

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Package seriation updated to version 1.0-14 with previous version 1.0-13 dated 2014-03-11

Title: Infrastructure for seriation
Description: Infrastructure for seriation with an implementation of several seriation/sequencing techniques to reorder matrices, dissimilarity matrices, and dendrograms. Also contains some visualizations techniques based on seriation.
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Kurt Hornik [aut, cph], Fionn Murtagh [ctb, cph], Michael Brusco [ctb, cph], Stephanie Stahl [ctb, cph], Hans-Friedrich Koehn [ctb, cph]
Maintainer: Michael Hahsler

Diff between seriation versions 1.0-13 dated 2014-03-11 and 1.0-14 dated 2014-12-03

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New package panelaggregation with initial version 0.1
Package: panelaggregation
Title: Aggregate Longitudinal Survey Data
Description: Aggregate Business Tendency Survey Data (and other qualitative surveys) to time series at various aggregation levels. Run aggregation of survey data in a speedy, re-traceable and a easily deployable way. Aggregation is substantially accelerated by use of data.table. Panelaggregation aims at providing an interface that is more geared towards survey researchers.
Version: 0.1
Authors@R: as.person(c('Matthias Bannert [aut, cre]','Gabriel Bucur [aut]'))
Author: Matthias Bannert [aut, cre], Gabriel Bucur [aut]
Maintainer: Matthias Bannert
Depends: R (>= 3.0.0), data.table (>= 1.9.4)
License: GPL-2
LazyData: true
Packaged: 2014-12-03 14:04:09 UTC; mbannert
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-03 17:25:49

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Package NPCD updated to version 1.0-7 with previous version 1.0-6 dated 2014-05-02

Title: Nonparametric Methods for Cognitive Diagnosis
Description: An array of nonparametric and parametric estimation methods for cognitive diagnostic models, including nonparametric classification of examinee attribute profiles, joint maximum likelihood estimation (JMLE) of examinee attribute profiles and item parameters, and nonparametric refinement of the Q-matrix, as well as conditional maximum likelihood estimation (CMLE) of examinee attribute profiles given item parameters and CMLE of item parameters given examinee attribute profiles. Currently the nonparametric methods in the package support both conjunctive and disjunctive models, and the parametric methods in the package support the DINA model, the DINO model, the NIDA model, the G-NIDA model, and the R-RUM model.
Author: Yi Zheng [aut, cre], Chia-Yi Chiu [aut], Jeffrey A. Douglas [ctb]
Maintainer: Yi Zheng

Diff between NPCD versions 1.0-6 dated 2014-05-02 and 1.0-7 dated 2014-12-03

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Package gender updated to version 0.4.2 with previous version 0.4.1 dated 2014-09-29

Title: Predict Gender from Names Using Historical Data
Description: Encodes gender based on names and dates of birth, using either the Social Security Administration's data set of first names by year of birth or the Census Bureau data from 1789 to 1940, both from the United States of America. By using these data sets instead of lists of male and female names, this package is able to more accurately guess the gender of a name, and it is able to report the probability that a name was male or female.
Author: Lincoln Mullen [aut, cre], Cameron Blevins [ctb], Ben Schmidt [ctb]
Maintainer: Lincoln Mullen

Diff between gender versions 0.4.1 dated 2014-09-29 and 0.4.2 dated 2014-12-03

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Package WRS2 updated to version 0.3-1 with previous version 0.2-0 dated 2014-10-24

Title: Wilcox Robust Estimation and Testing.
Description: A user-friendly version of Wilcox' robust statistics functions (WRS package on GitHub). It implements robust tests for various ANOVA and ANCOVA techniques as described in R. Wilcox (2012) 'Introduction to Robust Estimation and Hypothesis Testing'.
Author: Patrick Mair [cre, aut], Felix Schoenbrodt [aut], Rand Wilcox [aut]
Maintainer: Patrick Mair

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Package smaa updated to version 0.2-3 with previous version 0.2-2 dated 2013-12-02

Title: Stochastic Multi-criteria Acceptability Analysis
Description: The Stochastic Multi-criteria Acceptability Analysis (SMAA) family of Multiple Criteria Decision Analysis (MCDA) methods.
Author: Gert van Valkenhoef
Maintainer: Gert van Valkenhoef

Diff between smaa versions 0.2-2 dated 2013-12-02 and 0.2-3 dated 2014-12-03

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Package qmethod updated to version 1.2.4 with previous version 1.2.2 dated 2014-10-28

Title: Analysis of Subjective Perspectives Using Q Methodology
Description: Analysis of Q methodology data to identify the distinct perspectives existing within a group. This methodology is used across social, health and environmental sciences to understand diversity of attitudes, discourses, or decision-making styles (for more information, see http://qmethod.org). The function qmethod() runs the full analysis. Each step can be run separately using the corresponding functions: qflag() for automatic flagging of Q-sorts (manual flagging is optional), qzscores() for scores for statements, qda() for distinguishing and consensus statements, and qfcharact() for general characteristics of the factors. Additional functions import data from PQMethod software, export plain text data for interpretation in two flavours, print and plot Q method results in a synthetic manner. The package uses principal components and it offers the following choices: manual or automatic flagging, a number of mathematical methods for rotation, and a number of correlation coefficients for the initial correlation matrix.
Author: Aiora Zabala [aut, cre]
Maintainer: Aiora Zabala

Diff between qmethod versions 1.2.2 dated 2014-10-28 and 1.2.4 dated 2014-12-03

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Package pdR updated to version 1.2 with previous version 1.1 dated 2014-09-01

Title: threshold regression and unit root test in panel data
Description: Panel threshold and IGF unit root test
Author: Ho Tsung-wu
Maintainer: Ho Tsung-wu

Diff between pdR versions 1.1 dated 2014-09-01 and 1.2 dated 2014-12-03

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Package EGRET updated to version 2.0.2 with previous version 2.0.1 dated 2014-11-24

Title: Exploration and Graphics for RivEr Trends (EGRET)
Description: Statistics and graphics for streamflow history, water quality trends, and the statistical modeling algorithm: Weighted Regressions on Time, Discharge, and Season (WRTDS).
Author: Robert Hirsch [aut], Laura DeCicco [aut, cre]
Maintainer: Laura DeCicco

Diff between EGRET versions 2.0.1 dated 2014-11-24 and 2.0.2 dated 2014-12-03

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New package ClimClass with initial version 1.0
Package: ClimClass
Type: Package
Title: Climate Classification According To Several Indices
Version: 1.0
Date: 2014-11-27
Author: Emanuele Eccel, Emanuele Cordano, Giambattista Toller
Maintainer: Emanuele Eccel
Description: Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indices, and of water balance after Thornthwaite. Drawing climographs: Thornthwaite, Peguy, Bagnouls-Gaussen.
License: GPL (>= 2)
Depends: R(>= 2.10.0),geosphere,ggplot2,reshape2
Suggests: stringr
URL: https://github.com/ecor/ClimClass
Packaged: 2014-12-03 12:36:13 UTC; ecor
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-03 17:01:22

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Package bsts updated to version 0.6.0 with previous version 0.5.1 dated 2014-06-27

Title: Bayesian structural time series
Description: Time series regression using dynamic linear models fit using MCMC.
Author: Steven L. Scott
Maintainer: Steven L. Scott

Diff between bsts versions 0.5.1 dated 2014-06-27 and 0.6.0 dated 2014-12-03

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Package sequences updated to version 0.5.9 with previous version 0.5.8 dated 2014-04-11

Title: Generic and Biological Sequences
Description: Educational package used in R courses to illustrate object-oriented programming and package development. Using biological sequences (DNA and RNA) as a working example.
Author: Laurent Gatto [aut, cre], Robert Stojnic [aut]
Maintainer: Laurent Gatto

Diff between sequences versions 0.5.8 dated 2014-04-11 and 0.5.9 dated 2014-12-03

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Package peptider updated to version 0.1.6 with previous version 0.1.5 dated 2014-07-28

Title: Evaluation of Diversity in Nucleotide Libraries
Description: Functions for evaluating diversity in peptide libraries, including NNN, NNB, NNK/S, and trimer schemes. This includes expected coverage, relative efficiency, and functional diversity of the library.
Author: Heike Hofmann, Eric Hare, ggobi Foundation
Maintainer: Eric Hare

Diff between peptider versions 0.1.5 dated 2014-07-28 and 0.1.6 dated 2014-12-03

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Package extremevalues updated to version 2.3.0 with previous version 2.2 dated 2011-01-03

Title: Univariate outlier detection
Description: Detect extreme values in onedimensional data
Author: Mark van der Loo
Maintainer: Mark van der Loo

Diff between extremevalues versions 2.2 dated 2011-01-03 and 2.3.0 dated 2014-12-03

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Package discreteRV updated to version 1.1.3 with previous version 1.1.2 dated 2014-07-28

Title: Functions to Create and Manipulate Discrete Random Variables
Description: discreteRV implements a set of functions that allow computations involving discrete random variables. It uses a syntax which is familiar to that which is used in mathematical statistics and probability courses.
Author: Andreas Buja
Maintainer: Eric Hare

Diff between discreteRV versions 1.1.2 dated 2014-07-28 and 1.1.3 dated 2014-12-03

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Package conting updated to version 1.4 with previous version 1.3 dated 2014-06-11

Title: Bayesian analysis of contingency tables
Description: Bayesian analysis of complete and incomplete contingency tables.
Author: Antony M. Overstall
Maintainer: Antony M. Overstall

Diff between conting versions 1.3 dated 2014-06-11 and 1.4 dated 2014-12-03

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Package complmrob updated to version 0.5.6 with previous version 0.5.5 dated 2014-08-17

Title: Robust linear regression with compositional data as covariates
Description: Provides functionality to perform robust regression on compositional data. To get information on the distribution of the estimates, various bootstrapping methods are implemented for the compositional as well as for standard robust regression models, to provide a direct comparison between them.
Author: David Kepplinger
Maintainer: David Kepplinger

Diff between complmrob versions 0.5.5 dated 2014-08-17 and 0.5.6 dated 2014-12-03

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Package sensitivity updated to version 1.10.1 with previous version 1.10 dated 2014-11-26

Title: Sensitivity Analysis
Description: A collection of functions for factor screening, global sensitivity analysis and reliability sensitivity analysis of model output.
Author: Gilles Pujol, Bertrand Iooss, Alexandre Janon with contributions from Paul Lemaitre, Laurent Gilquin, Loic Le Gratiet, Taieb Touati, Bernardo Ramos, Jana Fruth and Sebastien Da Veiga
Maintainer: Bertrand Iooss

Diff between sensitivity versions 1.10 dated 2014-11-26 and 1.10.1 dated 2014-12-03

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Package rngSetSeed updated to version 0.3-2 with previous version 0.3-1 dated 2014-12-01

Title: Seeding the Default RNG with a Numeric Vector
Description: A function setVectorSeed() is provided. Its argument is a numeric vector of an arbitrary nonzero length, whose components have integer values from [0, 2^32-1]. The input vector is transformed using AES (Advanced Encryption Standard) algorithm into an initial state of Mersenne-Twister random number generator. The function provides a better alternative to the R base function set.seed(), if the input vector is a single integer. Initializing a stream of random numbers with a vector is a convenient way to obtain several streams, each of which is identified by several integer indices.
Author: Petr Savicky
Maintainer: Petr Savicky

Diff between rngSetSeed versions 0.3-1 dated 2014-12-01 and 0.3-2 dated 2014-12-03

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Package deTestSet updated to version 1.1.2 with previous version 1.1.1 dated 2013-07-02

Title: Testset for differential equations
Description: Solvers and testset for stiff and nonstiff differential equations, and differential algebraic equations
Author: Karline Soetaert [aut, cre], Jeff Cash [aut], Francesca Mazzia [aut], LAPACK authors [cph]
Maintainer: Karline Soetaert

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Package BoomSpikeSlab updated to version 0.5.1 with previous version 0.4.1 dated 2014-06-24

Title: MCMC for spike and slab regression
Description: Spike and slab regression a la McCulloch and George (1997).
Author: Steven L. Scott
Maintainer: Steven L. Scott

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Package Boom updated to version 0.2 with previous version 0.1 dated 2014-06-21

Title: Bayesian Object Oriented Modeling
Description: A C++ library for Bayesian modeling, with an emphasis on Markov chain Monte Carlo. Although boom contains a few R utilities (mainly plotting functions), its primary purpose is to install the BOOM C++ library on your system so that other packages can link against it.
Author: Steven L. Scott is the sole author and creator of the BOOM project. Some code in the BOOM libraries has been modified from other open source projects. These include Cephes (obtained from Netlib, written by Stephen L. Moshier), NEWUOA (M.J.D Powell, obtained from Powell's web site), and a modified version of the R math libraries (R core development team). Original copyright notices have been maintained in all source files. In these cases, copyright claimed by Steven L. Scott is limited to modifications made to the original code.
Maintainer: Steve Scott

Diff between Boom versions 0.1 dated 2014-06-21 and 0.2 dated 2014-12-03

 Boom-0.1/Boom/inst/include/Models/Glm/GlmMvnPrior.hpp                                                      |only
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 Boom-0.1/Boom/src/TargetFun/Loglike.cpp                                                                    |only
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 Boom-0.1/Boom/src/cblas                                                                                    |only
 Boom-0.2/Boom/DESCRIPTION                                                                                  |   12 
 Boom-0.2/Boom/MD5                                                                                          |  671 ++--
 Boom-0.2/Boom/R/check.data.R                                                                               |only
 Boom-0.2/Boom/R/external.legend.R                                                                          |    4 
 Boom-0.2/Boom/R/generate_factor_data.R                                                                     |only
 Boom-0.2/Boom/R/match_data_frame.R                                                                         |only
 Boom-0.2/Boom/inst/include/LinAlg/Matrix.hpp                                                               |   21 
 Boom-0.2/Boom/inst/include/LinAlg/QR.hpp                                                                   |   12 
 Boom-0.2/Boom/inst/include/LinAlg/SWEEP.hpp                                                                |   18 
 Boom-0.2/Boom/inst/include/LinAlg/SpdMatrix.hpp                                                            |   42 
 Boom-0.2/Boom/inst/include/LinAlg/SubMatrix.hpp                                                            |  258 +
 Boom-0.2/Boom/inst/include/LinAlg/Vector.hpp                                                               |   68 
 Boom-0.2/Boom/inst/include/LinAlg/VectorView.hpp                                                           |   44 
 Boom-0.2/Boom/inst/include/LinAlg/blas.hpp                                                                 |only
 Boom-0.2/Boom/inst/include/Models/Bart/PosteriorSamplers/GaussianBartPosteriorSampler.hpp                  |    3 
 Boom-0.2/Boom/inst/include/Models/BetaBinomialModel.hpp                                                    |    3 
 Boom-0.2/Boom/inst/include/Models/BetaModel.hpp                                                            |    2 
 Boom-0.2/Boom/inst/include/Models/BinomialModel.hpp                                                        |    3 
 Boom-0.2/Boom/inst/include/Models/ChisqModel.hpp                                                           |   26 
 Boom-0.2/Boom/inst/include/Models/DirichletModel.hpp                                                       |    3 
 Boom-0.2/Boom/inst/include/Models/EmMixtureComponent.hpp                                                   |    2 
 Boom-0.2/Boom/inst/include/Models/ExponentialModel.hpp                                                     |    5 
 Boom-0.2/Boom/inst/include/Models/FiniteMixtureModel.hpp                                                   |    8 
 Boom-0.2/Boom/inst/include/Models/GammaModel.hpp                                                           |    2 
 Boom-0.2/Boom/inst/include/Models/GaussianModel.hpp                                                        |    3 
 Boom-0.2/Boom/inst/include/Models/GaussianModelGivenSigma.hpp                                              |    2 
 Boom-0.2/Boom/inst/include/Models/Glm/BinomialLogitModel.hpp                                               |    7 
 Boom-0.2/Boom/inst/include/Models/Glm/GlmCoefs.hpp                                                         |    4 
 Boom-0.2/Boom/inst/include/Models/Glm/LogisticRegressionModel.hpp                                          |   11 
 Boom-0.2/Boom/inst/include/Models/Glm/MultinomialLogitModel.hpp                                            |   10 
 Boom-0.2/Boom/inst/include/Models/Glm/MvReg2.hpp                                                           |    4 
 Boom-0.2/Boom/inst/include/Models/Glm/MvtRegModel.hpp                                                      |    3 
 Boom-0.2/Boom/inst/include/Models/Glm/OrdinalCutpointModel.hpp                                             |   13 
 Boom-0.2/Boom/inst/include/Models/Glm/PoissonRegressionModel.hpp                                           |   33 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.hpp                     |   47 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/BinomialLogitCompositeSpikeSlabSampler.hpp         |   14 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/BinomialLogitDataImputer.hpp                       |   33 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/BinomialLogitSamplerTim.hpp                        |   19 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.hpp                  |    6 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/BregVsSampler.hpp                                  |   34 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/MLVS.hpp                                           |   13 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/MLVS_data_imputer.hpp                              |  138 -
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/MultinomialLogitCompleteDataSuf.hpp                |   15 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/NormalMixtureApproximation.hpp                     |    1 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/PartRegSampler.hpp                                 |   12 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.hpp                 |  102 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/PoissonRegressionSpikeSlabSampler.hpp              |only
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/RegressionConjSampler.hpp                          |    6 
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.hpp                   |  156 -
 Boom-0.2/Boom/inst/include/Models/Glm/PosteriorSamplers/SpikeSlabSampler.hpp                               |only
 Boom-0.2/Boom/inst/include/Models/Glm/ProbitRegression.hpp                                                 |   23 
 Boom-0.2/Boom/inst/include/Models/Glm/RegressionModel.hpp                                                  |   60 
 Boom-0.2/Boom/inst/include/Models/Glm/TRegression.hpp                                                      |    7 
 Boom-0.2/Boom/inst/include/Models/Glm/VariableSelectionPrior.hpp                                           |    5 
 Boom-0.2/Boom/inst/include/Models/Glm/WeightedRegressionModel.hpp                                          |    6 
 Boom-0.2/Boom/inst/include/Models/HMM/HMM2.hpp                                                             |    5 
 Boom-0.2/Boom/inst/include/Models/HMM/HealthStateModel.hpp                                                 |    5 
 Boom-0.2/Boom/inst/include/Models/IRT/IrtModel.hpp                                                         |    1 
 Boom-0.2/Boom/inst/include/Models/IRT/Item.hpp                                                             |    5 
 Boom-0.2/Boom/inst/include/Models/IndependentMvnModel.hpp                                                  |    2 
 Boom-0.2/Boom/inst/include/Models/IndependentMvnModelGivenScalarSigma.hpp                                  |   10 
 Boom-0.2/Boom/inst/include/Models/MarkovModel.hpp                                                          |    6 
 Boom-0.2/Boom/inst/include/Models/Mixtures/ConditionalFiniteMixtureModel.hpp                               |    2 
 Boom-0.2/Boom/inst/include/Models/ModelTypes.hpp                                                           |   40 
 Boom-0.2/Boom/inst/include/Models/MultinomialModel.hpp                                                     |    2 
 Boom-0.2/Boom/inst/include/Models/MvnBase.hpp                                                              |   41 
 Boom-0.2/Boom/inst/include/Models/MvnGivenScalarSigma.hpp                                                  |   21 
 Boom-0.2/Boom/inst/include/Models/MvnGivenSigma.hpp                                                        |    4 
 Boom-0.2/Boom/inst/include/Models/MvnModel.hpp                                                             |    3 
 Boom-0.2/Boom/inst/include/Models/MvtModel.hpp                                                             |    3 
 Boom-0.2/Boom/inst/include/Models/PointProcess/HomogeneousPoissonProcess.hpp                               |    2 
 Boom-0.2/Boom/inst/include/Models/PointProcess/WeeklyCyclePoissonProcess.hpp                               |   19 
 Boom-0.2/Boom/inst/include/Models/PoissonGammaModel.hpp                                                    |    3 
 Boom-0.2/Boom/inst/include/Models/PoissonModel.hpp                                                         |    5 
 Boom-0.2/Boom/inst/include/Models/PosteriorSamplers/GaussianConjSampler.hpp                                |    2 
 Boom-0.2/Boom/inst/include/Models/PosteriorSamplers/GaussianVarSampler.hpp                                 |    3 
 Boom-0.2/Boom/inst/include/Models/PosteriorSamplers/GenericGaussianVarianceSampler.hpp                     |only
 Boom-0.2/Boom/inst/include/Models/PosteriorSamplers/Imputer.hpp                                            |  311 ++
 Boom-0.2/Boom/inst/include/Models/PosteriorSamplers/IndependentMvnConjSampler.hpp                          |    5 
 Boom-0.2/Boom/inst/include/Models/PosteriorSamplers/MvnIndependentVarianceSampler.hpp                      |    5 
 Boom-0.2/Boom/inst/include/Models/PosteriorSamplers/SharedSigsqSampler.hpp                                 |    2 
 Boom-0.2/Boom/inst/include/Models/PosteriorSamplers/ZeroMeanMvnIndependenceSampler.hpp                     |    5 
 Boom-0.2/Boom/inst/include/Models/ProductDirichletModel.hpp                                                |    6 
 Boom-0.2/Boom/inst/include/Models/ScaledChisqModel.hpp                                                     |    9 
 Boom-0.2/Boom/inst/include/Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.hpp       |    3 
 Boom-0.2/Boom/inst/include/Models/StateSpace/PosteriorSamplers/StudentLocalLinearTrendPosteriorSampler.hpp |    5 
 Boom-0.2/Boom/inst/include/Models/TimeSeries/PosteriorSamplers/ArPosteriorSampler.hpp                      |    6 
 Boom-0.2/Boom/inst/include/Models/TimeSeries/PosteriorSamplers/NonzeroMeanAr1Sampler.hpp                   |    3 
 Boom-0.2/Boom/inst/include/Models/TimeSeries/TimeSeries.hpp                                                |  227 -
 Boom-0.2/Boom/inst/include/Models/TimeSeries/TimeSeriesDataPolicy.hpp                                      |    9 
 Boom-0.2/Boom/inst/include/Models/UniformModel.hpp                                                         |    2 
 Boom-0.2/Boom/inst/include/Models/WeightedMvnModel.hpp                                                     |    3 
 Boom-0.2/Boom/inst/include/Models/WishartModel.hpp                                                         |   10 
 Boom-0.2/Boom/inst/include/Models/ZeroInflatedPoissonModel.hpp                                             |    6 
 Boom-0.2/Boom/inst/include/Models/ZeroMeanGaussianModel.hpp                                                |    3 
 Boom-0.2/Boom/inst/include/Models/ZeroMeanMvnModel.hpp                                                     |    2 
 Boom-0.2/Boom/inst/include/Samplers/TIM.hpp                                                                |   26 
 Boom-0.2/Boom/inst/include/TargetFun/LogPost.hpp                                                           |    1 
 Boom-0.2/Boom/inst/include/TargetFun/Loglike.hpp                                                           |   31 
 Boom-0.2/Boom/inst/include/TargetFun/TargetFun.hpp                                                         |   56 
 Boom-0.2/Boom/inst/include/cpputil/make_unique_preserve_order.hpp                                          |only
 Boom-0.2/Boom/inst/include/numopt.hpp                                                                      |  236 -
 Boom-0.2/Boom/inst/include/numopt/initialize_derivatives.hpp                                               |only
 Boom-0.2/Boom/inst/include/r_interface/boom_r_tools.hpp                                                    |   28 
 Boom-0.2/Boom/inst/include/r_interface/parse_model_formula.hpp                                             |only
 Boom-0.2/Boom/inst/include/r_interface/prior_specification.hpp                                             |  163 +
 Boom-0.2/Boom/inst/include/stats/DataTable.hpp                                                             |   19 
 Boom-0.2/Boom/inst/include/stats/Design.hpp                                                                |  853 +++++-
 Boom-0.2/Boom/man/check.data.Rd                                                                            |only
 Boom-0.2/Boom/man/generate_factor_data.Rd                                                                  |only
 Boom-0.2/Boom/man/match_data_frame.Rd                                                                      |only
 Boom-0.2/Boom/src/Bmath/Bmath.hpp                                                                          |  298 +-
 Boom-0.2/Boom/src/Bmath/bd0.cpp                                                                            |   46 
 Boom-0.2/Boom/src/Bmath/beta.cpp                                                                           |   22 
 Boom-0.2/Boom/src/Bmath/chebyshev.cpp                                                                      |   20 
 Boom-0.2/Boom/src/Bmath/choose.cpp                                                                         |   28 
 Boom-0.2/Boom/src/Bmath/d1mach.cpp                                                                         |   10 
 Boom-0.2/Boom/src/Bmath/dbeta.cpp                                                                          |   54 
 Boom-0.2/Boom/src/Bmath/dbinom.cpp                                                                         |   12 
 Boom-0.2/Boom/src/Bmath/dcauchy.cpp                                                                        |    6 
 Boom-0.2/Boom/src/Bmath/dexp.cpp                                                                           |    8 
 Boom-0.2/Boom/src/Bmath/df.cpp                                                                             |   12 
 Boom-0.2/Boom/src/Bmath/dgamma.cpp                                                                         |   14 
 Boom-0.2/Boom/src/Bmath/dgeom.cpp                                                                          |    2 
 Boom-0.2/Boom/src/Bmath/dhyper.cpp                                                                         |    4 
 Boom-0.2/Boom/src/Bmath/dlnorm.cpp                                                                         |    6 
 Boom-0.2/Boom/src/Bmath/dlogis.cpp                                                                         |    4 
 Boom-0.2/Boom/src/Bmath/dnbeta.cpp                                                                         |   40 
 Boom-0.2/Boom/src/Bmath/dnbinom.cpp                                                                        |    2 
 Boom-0.2/Boom/src/Bmath/dnchisq.cpp                                                                        |   32 
 Boom-0.2/Boom/src/Bmath/dnorm.cpp                                                                          |   12 
 Boom-0.2/Boom/src/Bmath/dpois.cpp                                                                          |    2 
 Boom-0.2/Boom/src/Bmath/dpq.hpp                                                                            |   84 
 Boom-0.2/Boom/src/Bmath/dt.cpp                                                                             |   12 
 Boom-0.2/Boom/src/Bmath/dunif.cpp                                                                          |    4 
 Boom-0.2/Boom/src/Bmath/dweibull.cpp                                                                       |    6 
 Boom-0.2/Boom/src/Bmath/fprec.cpp                                                                          |   54 
 Boom-0.2/Boom/src/Bmath/fround.cpp                                                                         |   39 
 Boom-0.2/Boom/src/Bmath/fsign.cpp                                                                          |    2 
 Boom-0.2/Boom/src/Bmath/ftrunc.cpp                                                                         |    4 
 Boom-0.2/Boom/src/Bmath/gamma_cody.cpp                                                                     |  148 -
 Boom-0.2/Boom/src/Bmath/gammalims.cpp                                                                      |   34 
 Boom-0.2/Boom/src/Bmath/lbeta.cpp                                                                          |   28 
 Boom-0.2/Boom/src/Bmath/lgammacor.cpp                                                                      |   54 
 Boom-0.2/Boom/src/Bmath/mlutils.cpp                                                                        |   68 
 Boom-0.2/Boom/src/Bmath/nmath.hpp                                                                          |   30 
 Boom-0.2/Boom/src/Bmath/pbeta.cpp                                                                          |   16 
 Boom-0.2/Boom/src/Bmath/pbinom.cpp                                                                         |    2 
 Boom-0.2/Boom/src/Bmath/pcauchy.cpp                                                                        |   10 
 Boom-0.2/Boom/src/Bmath/pchisq.cpp                                                                         |    4 
 Boom-0.2/Boom/src/Bmath/pexp.cpp                                                                           |   14 
 Boom-0.2/Boom/src/Bmath/pf.cpp                                                                             |   10 
 Boom-0.2/Boom/src/Bmath/pgamma.cpp                                                                         |  146 -
 Boom-0.2/Boom/src/Bmath/pgeom.cpp                                                                          |    4 
 Boom-0.2/Boom/src/Bmath/phyper.cpp                                                                         |   68 
 Boom-0.2/Boom/src/Bmath/plnorm.cpp                                                                         |    4 
 Boom-0.2/Boom/src/Bmath/plogis.cpp                                                                         |   16 
 Boom-0.2/Boom/src/Bmath/pnbeta.cpp                                                                         |   40 
 Boom-0.2/Boom/src/Bmath/pnbinom.cpp                                                                        |   10 
 Boom-0.2/Boom/src/Bmath/pnchisq.cpp                                                                        |   84 
 Boom-0.2/Boom/src/Bmath/pnf.cpp                                                                            |   12 
 Boom-0.2/Boom/src/Bmath/pnorm.cpp                                                                          |  282 +-
 Boom-0.2/Boom/src/Bmath/pnt.cpp                                                                            |  110 
 Boom-0.2/Boom/src/Bmath/polygamma.cpp                                                                      |  476 +--
 Boom-0.2/Boom/src/Bmath/ppois.cpp                                                                          |    8 
 Boom-0.2/Boom/src/Bmath/pt.cpp                                                                             |   30 
 Boom-0.2/Boom/src/Bmath/ptukey.cpp                                                                         |  396 +-
 Boom-0.2/Boom/src/Bmath/punif.cpp                                                                          |    6 
 Boom-0.2/Boom/src/Bmath/pweibull.cpp                                                                       |   12 
 Boom-0.2/Boom/src/Bmath/qbeta.cpp                                                                          |  110 
 Boom-0.2/Boom/src/Bmath/qbinom.cpp                                                                         |   52 
 Boom-0.2/Boom/src/Bmath/qcauchy.cpp                                                                        |    8 
 Boom-0.2/Boom/src/Bmath/qchisq.cpp                                                                         |    2 
 Boom-0.2/Boom/src/Bmath/qexp.cpp                                                                           |    4 
 Boom-0.2/Boom/src/Bmath/qf.cpp                                                                             |    8 
 Boom-0.2/Boom/src/Bmath/qgamma.cpp                                                                         |  116 
 Boom-0.2/Boom/src/Bmath/qgeom.cpp                                                                          |    2 
 Boom-0.2/Boom/src/Bmath/qhyper.cpp                                                                         |   24 
 Boom-0.2/Boom/src/Bmath/qlnorm.cpp                                                                         |    6 
 Boom-0.2/Boom/src/Bmath/qlogis.cpp                                                                         |   16 
 Boom-0.2/Boom/src/Bmath/qnbinom.cpp                                                                        |   52 
 Boom-0.2/Boom/src/Bmath/qnchisq.cpp                                                                        |   22 
 Boom-0.2/Boom/src/Bmath/qnorm.cpp                                                                          |  130 
 Boom-0.2/Boom/src/Bmath/qpois.cpp                                                                          |   48 
 Boom-0.2/Boom/src/Bmath/qt.cpp                                                                             |  138 -
 Boom-0.2/Boom/src/Bmath/qtukey.cpp                                                                         |   98 
 Boom-0.2/Boom/src/Bmath/qunif.cpp                                                                          |    2 
 Boom-0.2/Boom/src/Bmath/qweibull.cpp                                                                       |    2 
 Boom-0.2/Boom/src/Bmath/rbeta.cpp                                                                          |   16 
 Boom-0.2/Boom/src/Bmath/rbinom.cpp                                                                         |   86 
 Boom-0.2/Boom/src/Bmath/rexp.cpp                                                                           |    2 
 Boom-0.2/Boom/src/Bmath/rf.cpp                                                                             |    2 
 Boom-0.2/Boom/src/Bmath/rgamma.cpp                                                                         |   30 
 Boom-0.2/Boom/src/Bmath/rhyper.cpp                                                                         |  394 +-
 Boom-0.2/Boom/src/Bmath/rlnorm.cpp                                                                         |    2 
 Boom-0.2/Boom/src/Bmath/rlogis.cpp                                                                         |    2 
 Boom-0.2/Boom/src/Bmath/rmultinom.cpp                                                                      |   18 
 Boom-0.2/Boom/src/Bmath/rnbinom.cpp                                                                        |    4 
 Boom-0.2/Boom/src/Bmath/rnchisq.cpp                                                                        |   18 
 Boom-0.2/Boom/src/Bmath/rpois.cpp                                                                          |  290 +-
 Boom-0.2/Boom/src/Bmath/rt.cpp                                                                             |   10 
 Boom-0.2/Boom/src/Bmath/runif.cpp                                                                          |    6 
 Boom-0.2/Boom/src/Bmath/rweibull.cpp                                                                       |    4 
 Boom-0.2/Boom/src/Bmath/sexp.cpp                                                                           |   50 
 Boom-0.2/Boom/src/Bmath/sign.cpp                                                                           |    8 
 Boom-0.2/Boom/src/Bmath/signrank.cpp                                                                       |  114 
 Boom-0.2/Boom/src/Bmath/snorm.cpp                                                                          |  426 +--
 Boom-0.2/Boom/src/Bmath/stirlerr.cpp                                                                       |   70 
 Boom-0.2/Boom/src/Bmath/toms708.cpp                                                                        | 1346 +++++-----
 Boom-0.2/Boom/src/Bmath/wilcox.cpp                                                                         |  174 -
 Boom-0.2/Boom/src/Interfaces                                                                               |only
 Boom-0.2/Boom/src/LinAlg/DiagonalMatrix.cpp                                                                |   55 
 Boom-0.2/Boom/src/LinAlg/Givens.cpp                                                                        |   50 
 Boom-0.2/Boom/src/LinAlg/Matrix.cpp                                                                        |  326 +-
 Boom-0.2/Boom/src/LinAlg/QR.cpp                                                                            |   78 
 Boom-0.2/Boom/src/LinAlg/SpdMatrix.cpp                                                                     |  271 +-
 Boom-0.2/Boom/src/LinAlg/SubMatrix.cpp                                                                     |   36 
 Boom-0.2/Boom/src/LinAlg/Vector.cpp                                                                        | 1283 +++++----
 Boom-0.2/Boom/src/LinAlg/VectorView.cpp                                                                    |  162 -
 Boom-0.2/Boom/src/LinAlg/blas.cpp                                                                          |only
 Boom-0.2/Boom/src/Makevars                                                                                 |    2 
 Boom-0.2/Boom/src/Models/Bart/PosteriorSamplers/BartPosteriorSampler.cpp                                   |  202 -
 Boom-0.2/Boom/src/Models/Bart/PosteriorSamplers/GaussianBartPosteriorSampler.cpp                           |   13 
 Boom-0.2/Boom/src/Models/BetaBinomialModel.cpp                                                             |   16 
 Boom-0.2/Boom/src/Models/BetaModel.cpp                                                                     |   10 
 Boom-0.2/Boom/src/Models/BinomialModel.cpp                                                                 |   15 
 Boom-0.2/Boom/src/Models/ChisqModel.cpp                                                                    |   43 
 Boom-0.2/Boom/src/Models/DirichletModel.cpp                                                                |   36 
 Boom-0.2/Boom/src/Models/ExponentialModel.cpp                                                              |   15 
 Boom-0.2/Boom/src/Models/GammaModel.cpp                                                                    |   17 
 Boom-0.2/Boom/src/Models/GaussianModel.cpp                                                                 |   20 
 Boom-0.2/Boom/src/Models/GaussianModelGivenSigma.cpp                                                       |   10 
 Boom-0.2/Boom/src/Models/Glm/BinomialLogitModel.cpp                                                        |   10 
 Boom-0.2/Boom/src/Models/Glm/GlmCoefs.cpp                                                                  |   14 
 Boom-0.2/Boom/src/Models/Glm/LogisticRegressionModel.cpp                                                   |   70 
 Boom-0.2/Boom/src/Models/Glm/MultinomialLogitModel.cpp                                                     |  100 
 Boom-0.2/Boom/src/Models/Glm/MvReg2.cpp                                                                    |   14 
 Boom-0.2/Boom/src/Models/Glm/MvtRegModel.cpp                                                               |   18 
 Boom-0.2/Boom/src/Models/Glm/OrdinalCutpointModel.cpp                                                      |   64 
 Boom-0.2/Boom/src/Models/Glm/PoissonRegressionModel.cpp                                                    |   64 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.cpp                              |   97 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/BinomialLogitCompositeSpikeSlabSampler.cpp                  |   39 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/BinomialLogitDataImputer.cpp                                |  110 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/BinomialLogitSamplerTim.cpp                                 |   22 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.cpp                           |  106 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/BregVsSampler.cpp                                           |  182 -
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/DAFE_MLM.cpp                                                |   28 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/MLVS.cpp                                                    |   28 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/MLVS_data_imputer.cpp                                       |  196 -
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/MlogitRwm.cpp                                               |   29 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/MultinomialLogitCompleteDataSuf.cpp                         |   12 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/MultinomialLogitCompositeSpikeSlabSampler.cpp               |   30 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/NormalMixtureApproximation.cpp                              |   35 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/PartRegSampler.cpp                                          |   60 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.cpp                          |  204 -
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/PoissonRegressionSpikeSlabSampler.cpp                       |only
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/RegressionConjSampler.cpp                                   |   20 
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.cpp                            |  472 ++-
 Boom-0.2/Boom/src/Models/Glm/PosteriorSamplers/SpikeSlabSampler.cpp                                        |only
 Boom-0.2/Boom/src/Models/Glm/ProbitRegression.cpp                                                          |   72 
 Boom-0.2/Boom/src/Models/Glm/RegressionModel.cpp                                                           |  206 -
 Boom-0.2/Boom/src/Models/Glm/TRegression.cpp                                                               |   74 
 Boom-0.2/Boom/src/Models/Glm/VariableSelectionPrior.cpp                                                    |   17 
 Boom-0.2/Boom/src/Models/Glm/WeightedRegressionModel.cpp                                                   |   19 
 Boom-0.2/Boom/src/Models/HMM/HMM2.cpp                                                                      |    3 
 Boom-0.2/Boom/src/Models/HMM/HealthStateModel.cpp                                                          |    1 
 Boom-0.2/Boom/src/Models/IRT/IrtModel.cpp                                                                  |    6 
 Boom-0.2/Boom/src/Models/IRT/Item.cpp                                                                      |    2 
 Boom-0.2/Boom/src/Models/IRT/PartialCreditModel.cpp                                                        |    1 
 Boom-0.2/Boom/src/Models/IndependentMvnModelGivenScalarSigma.cpp                                           |   16 
 Boom-0.2/Boom/src/Models/MarkovModel.cpp                                                                   |    6 
 Boom-0.2/Boom/src/Models/ModelTypes.cpp                                                                    |   26 
 Boom-0.2/Boom/src/Models/MultinomialModel.cpp                                                              |    6 
 Boom-0.2/Boom/src/Models/MvnBase.cpp                                                                       |   37 
 Boom-0.2/Boom/src/Models/MvnGivenScalarSigma.cpp                                                           |   71 
 Boom-0.2/Boom/src/Models/MvnGivenSigma.cpp                                                                 |   17 
 Boom-0.2/Boom/src/Models/MvnModel.cpp                                                                      |   48 
 Boom-0.2/Boom/src/Models/MvtModel.cpp                                                                      |   37 
 Boom-0.2/Boom/src/Models/PointProcess/HomogeneousPoissonProcess.cpp                                        |    5 
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 Boom-0.2/Boom/src/Models/PointProcess/WeeklyCyclePoissonProcess.cpp                                        |   68 
 Boom-0.2/Boom/src/Models/PoissonGammaModel.cpp                                                             |   14 
 Boom-0.2/Boom/src/Models/PoissonModel.cpp                                                                  |   17 
 Boom-0.2/Boom/src/Models/PosteriorSamplers/GaussianConjSampler.cpp                                         |   17 
 Boom-0.2/Boom/src/Models/PosteriorSamplers/GaussianVarSampler.cpp                                          |   29 
 Boom-0.2/Boom/src/Models/PosteriorSamplers/GenericGaussianVarianceSampler.cpp                              |only
 Boom-0.2/Boom/src/Models/PosteriorSamplers/IndependentMvnConjSampler.cpp                                   |   39 
 Boom-0.2/Boom/src/Models/PosteriorSamplers/MvnIndependentVarianceSampler.cpp                               |   42 
 Boom-0.2/Boom/src/Models/PosteriorSamplers/SharedSigsqSampler.cpp                                          |   13 
 Boom-0.2/Boom/src/Models/PosteriorSamplers/ZeroMeanMvnIndependenceSampler.cpp                              |   50 
 Boom-0.2/Boom/src/Models/ProductDirichletModel.cpp                                                         |   10 
 Boom-0.2/Boom/src/Models/ScaledChisqModel.cpp                                                              |    5 
 Boom-0.2/Boom/src/Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp                |    7 
 Boom-0.2/Boom/src/Models/StateSpace/PosteriorSamplers/StudentLocalLinearTrendPosteriorSampler.cpp          |   42 
 Boom-0.2/Boom/src/Models/TimeSeries/PosteriorSamplers/ArPosteriorSampler.cpp                               |   31 
 Boom-0.2/Boom/src/Models/TimeSeries/PosteriorSamplers/NonzeroMeanAr1Sampler.cpp                            |   44 
 Boom-0.2/Boom/src/Models/UniformModel.cpp                                                                  |    9 
 Boom-0.2/Boom/src/Models/WeightedMvnModel.cpp                                                              |   14 
 Boom-0.2/Boom/src/Models/WishartModel.cpp                                                                  |   34 
 Boom-0.2/Boom/src/Models/ZeroInflatedPoissonModel.cpp                                                      |    2 
 Boom-0.2/Boom/src/Models/ZeroMeanGaussianModel.cpp                                                         |    5 
 Boom-0.2/Boom/src/Models/ZeroMeanMvnModel.cpp                                                              |   11 
 Boom-0.2/Boom/src/Samplers/TIM.cpp                                                                         |   17 
 Boom-0.2/Boom/src/TargetFun/TargetFun.cpp                                                                  |   84 
 Boom-0.2/Boom/src/boom_r_tools.cpp                                                                         |   54 
 Boom-0.2/Boom/src/cpputil/Date.cpp                                                                         |    2 
 Boom-0.2/Boom/src/create_mixture_component.cpp                                                             |  105 
 Boom-0.2/Boom/src/extract_mixture_data.cpp                                                                 |    2 
 Boom-0.2/Boom/src/list_io.cpp                                                                              |    1 
 Boom-0.2/Boom/src/numopt/initialize_derivatives.cpp                                                        |only
 Boom-0.2/Boom/src/numopt/simulated_annealing.cpp                                                           |   27 
 Boom-0.2/Boom/src/parse_model_formula.cpp                                                                  |only
 Boom-0.2/Boom/src/print_R_timestamp.cpp                                                                    |    2 
 Boom-0.2/Boom/src/spike_slab_prior.cpp                                                                     |only
 Boom-0.2/Boom/src/stats/DataTable.cpp                                                                      |   15 
 Boom-0.2/Boom/src/stats/Design.cpp                                                                         | 1090 ++++++--
 330 files changed, 10529 insertions(+), 7884 deletions(-)

More information about Boom at CRAN
Permanent link

Package YplantQMC updated to version 0.6-4 with previous version 0.6-3 dated 2014-12-01

Title: Plant Architectural Analysis with Yplant and QuasiMC
Description: An R implementation of Yplant, combined with the QuasiMC raytracer. Calculate radiation absorption, transmission and scattering, photosynthesis and transpiration of virtual 3D plants.
Author: Remko Duursma. QuasiMC by Mik Cieslak. Uses code by Robert Pearcy (Yplant) and Belinda Medlyn (MAESTRA)
Maintainer: Remko Duursma

Diff between YplantQMC versions 0.6-3 dated 2014-12-01 and 0.6-4 dated 2014-12-03

 DESCRIPTION           |    6 +-
 MD5                   |    6 +-
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 man/installQuasiMC.Rd |    2 
 4 files changed, 76 insertions(+), 77 deletions(-)

More information about YplantQMC at CRAN
Permanent link

Package tigerstats updated to version 0.2 with previous version 0.1.6 dated 2014-08-11

Title: R for Elementary Statistics
Description: This package consists of data sets and functions that are useful in the teaching of statistics at an elementary level to students who may have little or no previous experience with the command line. The functions for elementary inferential procedures follow a uniform interface for user input. Some of the functions are instructional applets that can only be run on the R Studio integrated development environment with package manipulate attached. R Studio is freely available (www.rstudio.org), and includes package manipulate. Other instructional applets are Shiny apps that may be run locally. In teaching the package is used alongside of package mosaic, which is therefore listed as a dependency.
Author: Rebekah Robinson and Homer White
Maintainer: Homer White

Diff between tigerstats versions 0.1.6 dated 2014-08-11 and 0.2 dated 2014-12-03

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More information about tigerstats at CRAN
Permanent link

Package RSiteCatalyst updated to version 1.4.2 with previous version 1.4.1 dated 2014-11-09

Title: R Client for Adobe Analytics API v1.4
Description: Functions for accessing the Adobe Analytics Reporting API
Author: Willem Paling, Randy Zwitch & Jowanza Joseph
Maintainer: Randy Zwitch

Diff between RSiteCatalyst versions 1.4.1 dated 2014-11-09 and 1.4.2 dated 2014-12-03

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Package rsdmx updated to version 0.4-3 with previous version 0.4-2 dated 2014-11-03

Title: Tools for Reading SDMX Data and Metadata
Description: rsdmx provides a set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework. The package currently focuses on the SDMX XML standard format (SDMX-ML).
Author: Emmanuel Blondel [aut, cre], Matthieu Stigler [ctb]
Maintainer: Emmanuel Blondel

Diff between rsdmx versions 0.4-2 dated 2014-11-03 and 0.4-3 dated 2014-12-03

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More information about rsdmx at CRAN
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Package genMOSS updated to version 1.2 with previous version 1.1 dated 2013-09-19

Title: Functions for the Bayesian Analysis of GWAS Data
Description: Implements the Mode Oriented Stochastic Search (MOSS) algorithm as well as a simple moving window approach to look for combinations of SNPs that are associated with a response.
Author: Matthew Friedlander, Adrian Dobra, Helene Massam, and Laurent Briollais
Maintainer: Matthew Friedlander

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Package dataRetrieval updated to version 2.0.1 with previous version 2.0.0 dated 2014-11-13

Title: Retrieval Functions for USGS and EPA Hydrologic and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey (USGS) and U.S. Environmental Protection Agency (EPA) water quality and hydrology data from web services. USGS web services are discovered from the National Water Information Services (NWIS) tools found here: http://waterservices.usgs.gov/ Both EPA and USGS water quality data are obtained from the Water Quality Portal found here: http://www.waterqualitydata.us/portal.jsp
Author: Robert Hirsch [aut], Laura DeCicco [aut, cre], David Lorenz [aut]
Maintainer: Laura DeCicco

Diff between dataRetrieval versions 2.0.0 dated 2014-11-13 and 2.0.1 dated 2014-12-03

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Package choroplethr updated to version 2.1.0 with previous version 2.0.0 dated 2014-10-27

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

Diff between choroplethr versions 2.0.0 dated 2014-10-27 and 2.1.0 dated 2014-12-03

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Permanent link

Package BcDiag updated to version 1.0.7 with previous version 1.0.6 dated 2014-12-02

Title: Diagnostics plots for Bicluster Data
Description: Diagnostic tools based on two-way anova and median-polish residual plots for Bicluster output obtained from packages; "biclust" by Kaiser et al.(2008),"isa2" by Csardi et al. (2010) and "fabia" by Hochreiter et al. (2010). Moreover, It provides visualization tools for bicluster output and corresponding non-bicluster rows- or columns outcomes. It has also extended the idea of Kaiser et al.(2008) which is, extracting bicluster output in a text format, by adding two bicluster methods from the fabia and isa2 R packages.
Author: Aregay Mengsteab, Martin Otava, Tatsiana Khamiakova, Ewoud De Troyer
Maintainer: Ewoud De Troyer

Diff between BcDiag versions 1.0.6 dated 2014-12-02 and 1.0.7 dated 2014-12-03

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More information about BcDiag at CRAN
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