Thu, 18 Aug 2016

Package tokenizers updated to version 0.1.3 with previous version 0.1.2 dated 2016-04-14

Title: A Consistent Interface to Tokenize Natural Language Text
Description: Convert natural language text into tokens. The tokenizers have a consistent interface and are compatible with Unicode, thanks to being built on the 'stringi' package. Includes tokenizers for shingled n-grams, skip n-grams, words, word stems, sentences, paragraphs, characters, lines, and regular expressions.
Author: Lincoln Mullen [aut, cre], Dmitriy Selivanov [ctb]
Maintainer: Lincoln Mullen <lincoln@lincolnmullen.com>

Diff between tokenizers versions 0.1.2 dated 2016-04-14 and 0.1.3 dated 2016-08-18

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 tokenizers-0.1.3/tokenizers/R/ngram-tokenizers.R            |    2 
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 22 files changed, 67 insertions(+), 58 deletions(-)

More information about tokenizers at CRAN
Permanent link

Package tadaatoolbox updated to version 0.10.0 with previous version 0.9.0 dated 2016-02-18

Title: Helpers for Data Analysis and Presentation Focused on Undergrad Psychology
Description: Contains functions for the easy display of statistical tests as well as some convenience functions for recoding or data cleanup. It is meant to ease existing workflows with packages like 'sjPlot', 'dplyr', and 'ggplot2'. The primary components are the functions prefixed with 'tadaa_', which are built to work in an interactive environment, but also print tidy markdown tables powered by 'pixiedust' for the creation of 'RMarkdown' reports.
Author: Lukas Burk [aut, cre], Tobias Anton [aut], Daniel Lüdecke [ctb]
Maintainer: Lukas Burk <lukas@quantenbrot.de>

Diff between tadaatoolbox versions 0.9.0 dated 2016-02-18 and 0.10.0 dated 2016-08-18

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More information about tadaatoolbox at CRAN
Permanent link

Package SQUAREM updated to version 2016.8-2 with previous version 2016.8-1 dated 2016-08-12

Title: Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
Description: Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("SQUAREM").
Author: Ravi Varadhan
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

Diff between SQUAREM versions 2016.8-1 dated 2016-08-12 and 2016.8-2 dated 2016-08-18

 DESCRIPTION           |    8 ++++----
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More information about SQUAREM at CRAN
Permanent link

Package SemiParBIVProbit updated to version 3.8 with previous version 3.7-1 dated 2016-05-06

Title: Semiparametric Copula Regression Models
Description: Routines for fitting several classes of copula regression models, with several types of covariate effects, in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.
Author: Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <r.radice@bbk.ac.uk>
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>

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Permanent link

Package reinstallr updated to version 0.1.3 with previous version 0.1.2 dated 2016-08-13

Title: Search and Install Missing Packages
Description: Search R files for not installed packages and run install.packages.
Author: Calli Gross
Maintainer: Calli Gross <calli@calligross.de>

Diff between reinstallr versions 0.1.2 dated 2016-08-13 and 0.1.3 dated 2016-08-18

 DESCRIPTION                                 |    7 ++++---
 MD5                                         |    6 +++---
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More information about reinstallr at CRAN
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Package mirt updated to version 1.19 with previous version 1.18 dated 2016-06-24

Title: Multidimensional Item Response Theory
Description: Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm. Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item and test functioning as well as modelling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, and several other discrete variable models are supported.
Author: Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirt versions 1.18 dated 2016-06-24 and 1.19 dated 2016-08-18

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 NAMESPACE                           |    1 
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More information about mirt at CRAN
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Package CDF.PSIdekick updated to version 1.1 with previous version 1.0 dated 2016-08-12

Title: Evaluate Differentially Private Algorithms for Publishing Cumulative Distribution Functions
Description: Designed by and for the community of differential privacy algorithm developers. It can be used to empirically evaluate and visualize Cumulative Distribution Functions incorporating noise that satisfies differential privacy, with numerous options made to streamline collection of utility measurements across variations of key parameters, such as epsilon, domain size, sample size, data shape, etc. Developed by researchers at Harvard PSI.
Author: Daniel Muise [aut,cre], Kobbi Nissim [aut], Georgios Kellaris [aut]
Maintainer: Daniel Muise <dmuise@stanford.edu>

Diff between CDF.PSIdekick versions 1.0 dated 2016-08-12 and 1.1 dated 2016-08-18

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Permanent link

New package kamila with initial version 0.1.1.1
Package: kamila
Type: Package
Version: 0.1.1.1
Date: 2016-08-18
Authors@R: c( person("Alexander", "Foss", email = "alexanderhfoss@gmail.com", role = c("aut", "cre")), person("Marianthi", "Markatou", role = c("aut")) )
Author: Alexander Foss [aut, cre], Marianthi Markatou [aut]
Maintainer: Alexander Foss <alexanderhfoss@gmail.com>
Title: Methods for Clustering Mixed-Type Data
Description: Implements methods for clustering mixed-type data, specifically combinations of continuous and nominal data. Special attention is paid to the often-overlooked problem of equitably balancing the contribution of the continuous and categorical variables. This package implements KAMILA clustering, a novel method for clustering mixed-type data in the spirit of k-means clustering. It does not require dummy coding of variables, and is efficient enough to scale to rather large data sets. Also implemented is Modha-Spangler clustering, which uses a brute-force strategy to maximize the cluster separation simultaneously in the continuous and categorical variables.
Depends: R (>= 3.0.0)
License: GPL-3
URL: https://github.com/ahfoss/kamila
BugReports: https://github.com/ahfoss/kamila/issues
Imports: stats, abind, KernSmooth, gtools, Rcpp, mclust, plyr
LinkingTo: Rcpp
Suggests: testthat, clustMD, ggplot2, Hmisc
RoxygenNote: 5.0.1
Packaged: 2016-08-18 17:46:08 UTC; Alexander
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-08-19 00:46:49

More information about kamila at CRAN
Permanent link

Package bsts updated to version 0.6.5 with previous version 0.6.4 dated 2016-08-03

Title: Bayesian Structural Time Series
Description: Time series regression using dynamic linear models fit using MCMC.
Author: Steven L. Scott <stevescott@google.com>
Maintainer: Steven L. Scott <stevescott@google.com>

Diff between bsts versions 0.6.4 dated 2016-08-03 and 0.6.5 dated 2016-08-18

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More information about bsts at CRAN
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Package berryFunctions updated to version 1.11.0 with previous version 1.10.0 dated 2016-04-30

Title: Function Collection Related to Plotting and Hydrology
Description: Draw horizontal histograms, color scattered points by 3rd dimension, enhance date- and log-axis plots, zoom in X11 graphics, use the unit hydrograph in a linear storage cascade, convert lists to data.frames, fit multiple functions by regression (power, reciprocal, exponential, logarithmic, polynomial, rational).
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>

Diff between berryFunctions versions 1.10.0 dated 2016-04-30 and 1.11.0 dated 2016-08-18

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More information about berryFunctions at CRAN
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Package ggghost updated to version 0.2.0 with previous version 0.1.0 dated 2016-08-07

Title: Capture the Spirit of Your 'ggplot2' Calls
Description: Creates a reproducible 'ggplot2' object by storing the data and calls.
Author: Jonathan Carroll [aut, cre]
Maintainer: Jonathan Carroll <rpkg@jcarroll.com.au>

Diff between ggghost versions 0.1.0 dated 2016-08-07 and 0.2.0 dated 2016-08-18

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New package imp4p with initial version 0.1
Package: imp4p
Type: Package
Title: Imputation for Proteomics
Version: 0.1
Date: 2016-08-17
Author: Quentin Giai Gianetto
Maintainer: Quentin Giai Gianetto <quentin2g@yahoo.fr>
Description: Functions to analyse missing value mechanisms and to impute data sets in the context of bottom-up MS-based proteomics.
License: GPL-3
Depends: R (>= 3.3.0), Iso, stats, truncnorm, imputeLCMD
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-08-18 14:49:01 UTC; QGIAIGIA
Repository: CRAN
Date/Publication: 2016-08-18 17:23:38

More information about imp4p at CRAN
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Package slam updated to version 0.1-38 with previous version 0.1-37 dated 2016-08-05

Title: Sparse Lightweight Arrays and Matrices
Description: Data structures and algorithms for sparse arrays and matrices, based on index arrays and simple triplet representations, respectively.
Author: Kurt Hornik [aut, cre], David Meyer [aut], Christian Buchta [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between slam versions 0.1-37 dated 2016-08-05 and 0.1-38 dated 2016-08-18

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Package rags2ridges updated to version 2.1.1 with previous version 2.1 dated 2016-08-12

Title: Ridge Estimation of Precision Matrices from High-Dimensional Data
Description: Proper L2-penalized ML estimators for the precision matrix as well as supporting functions to employ these estimators in a graphical modeling setting.
Author: Carel F.W. Peeters [cre, aut], Anders Ellern Bilgrau [aut], Wessel N. van Wieringen [aut]
Maintainer: Carel F.W. Peeters <cf.peeters@vumc.nl>

Diff between rags2ridges versions 2.1 dated 2016-08-12 and 2.1.1 dated 2016-08-18

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More information about rags2ridges at CRAN
Permanent link

Package powerplus updated to version 3.0 with previous version 2.0 dated 2016-07-14

Title: Exponentiation Operations
Description: Computation of matrix and scalar exponentiation.
Author: Albert Dorador
Maintainer: Albert Dorador <albert.dorador@estudiant.upc.edu>

Diff between powerplus versions 2.0 dated 2016-07-14 and 3.0 dated 2016-08-18

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More information about powerplus at CRAN
Permanent link

New package ldstatsHD with initial version 1.0.0
Package: ldstatsHD
Type: Package
Title: Linear Dependence Statistics for High-Dimensional Data
Version: 1.0.0
Date: 2016-08-16
Author: Adria Caballe <a.caballe@sms.ed.ac.uk>
Maintainer: Adria Caballe <a.caballe@sms.ed.ac.uk>
Description: Statistical methods related to the estimation and testing of multiple correlation, partial correlation and regression coefficient matrices when data is high-dimensional.
License: GPL-3
LazyLoad: no
Repository: CRAN
Depends: R (>= 2.10.0), huge
Imports: RBGL, cluster, camel, igraph, VGAM, evd, MASS, Matrix, fExtremes, corpcor, robustbase
Suggests: JGL
NeedsCompilation: no
Packaged: 2016-08-18 11:49:01 UTC; adriacaballe
Date/Publication: 2016-08-18 15:57:55

More information about ldstatsHD at CRAN
Permanent link

Package hyperSMURF updated to version 1.1.2 with previous version 1.0 dated 2016-08-11

Title: Hyper-Ensemble Smote Undersampled Random Forests
Description: Machine learning supervised method to learn rare genomic features in imbalanced genetic data sets. This method can be also applied to classify or rank examples characterized by a high imbalance between the minority and majority class. hyperSMURF adopts a hyper-ensemble (ensemble of ensembles) approach, undersampling of the majority class and oversampling of the minority class to learn highly imbalanced data. Both single-core and parallel multi-core version of hyperSMURF are implemented.
Author: Giorgio Valentini [aut, cre] - AnacletoLab, Dipartimento di Informatica, Universita' degli Studi di Milano; Max Schubach [ctb] - Charite, Universitatsmedizin Berlin; Matteo Re [ctb] - AnacletoLab, Dipartimento di Informatica, Universita' degli Studi di Milano; Peter N Robinson [ctb] - The Jackson Laboratory for Genomic Medicine, Farmington CT, USA.
Maintainer: Giorgio Valentini <valentini@di.unimi.it>

Diff between hyperSMURF versions 1.0 dated 2016-08-11 and 1.1.2 dated 2016-08-18

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More information about hyperSMURF at CRAN
Permanent link

Package ghit updated to version 0.2.12 with previous version 0.2.10 dated 2016-07-26

Title: Lightweight GitHub Package Installer
Description: A lightweight, vectorized drop-in replacement for 'devtools::install_github()' that uses native git and R methods to clone and install a package from GitHub.
Author: Thomas J. Leeper [aut, cre]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

Diff between ghit versions 0.2.10 dated 2016-07-26 and 0.2.12 dated 2016-08-18

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More information about ghit at CRAN
Permanent link

New package electionsBR with initial version 0.1.1
Package: electionsBR
Type: Package
Title: R Functions to Download and Clean Brazilian Electoral Data
Version: 0.1.1
Authors@R: c( person("Denisson", "Silva", , "denissonsilva@ufmg.br", c("aut", "cre")), person("Fernando", "Meireles", , "fmeireles@ufmg.br", "aut"), person("Beatriz", "Costa", ,"bea.s.costa@gmail.com", "ctb") )
Description: Offers a set of functions that automatically downloads and aggregates election data from Brazil, directly from the Superior Electoral Court website. Among others, there are data available on local and federal elections for all positions (city councillor, mayor, state deputy, federal deputy, governor, and president) disaggregated by state of the Federation, city, zone, and polling stations. In addition, data on the verification (blank votes, null votes, abstention) and the candidates' background are also available.
License: GPL (>= 2)
Depends: R (>= 2.10)
Imports: magrittr
LazyData: TRUE
URL: https://github.com/silvadenisson/electionsBR
BugReports: https://github.com/silvadenisson/electionsBR/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-18 12:42:16 UTC; User
Author: Denisson Silva [aut, cre], Fernando Meireles [aut], Beatriz Costa [ctb]
Maintainer: Denisson Silva <denissonsilva@ufmg.br>
Repository: CRAN
Date/Publication: 2016-08-18 15:57:52

More information about electionsBR at CRAN
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New package petrinetR with initial version 0.1.0
Package: petrinetR
Type: Package
Title: Building, Visualizing, Exporting and Replaying Petri Nets
Version: 0.1.0
Date: 2016-08-18
Author: Gert Janssenswillen
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>
Description: Functions for the construction of Petri Nets. Petri Nets can be replayed by firing enabled transitions. Silent transitions will be hidden by the execution handler. Also includes functionalities for the visualization of Petri Nets and export of Petri Nets to PNML (Petri Net Markup Language) files.
License: GPL-3
Depends: R(>= 3.0.0)
LazyData: true
Imports: dplyr, visNetwork
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-18 11:09:26 UTC; lucp8407
Repository: CRAN
Date/Publication: 2016-08-18 13:38:52

More information about petrinetR at CRAN
Permanent link

Package umx updated to version 1.3.0 with previous version 1.2.7 dated 2016-05-06

Title: Structural Equation Modelling in R with 'OpenMx'
Description: Create, run, and report structural equation and twin models quickly. If you're just starting out, try typing '?umx'.
Author: Timothy C Bates [aut, cre]
Maintainer: Timothy C Bates <timothy.c.bates@gmail.com>

Diff between umx versions 1.2.7 dated 2016-05-06 and 1.3.0 dated 2016-08-18

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More information about umx at CRAN
Permanent link

Package metaSEM updated to version 0.9.10 with previous version 0.9.8 dated 2016-04-19

Title: Meta-Analysis using Structural Equation Modeling
Description: A collection of functions for conducting meta-analysis using a structural equation modeling (SEM) approach via the 'OpenMx' package. It also implements the two-stage SEM approach to conduct meta-analytic structural equation modeling on correlation and covariance matrices.
Author: Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>
Maintainer: Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>

Diff between metaSEM versions 0.9.8 dated 2016-04-19 and 0.9.10 dated 2016-08-18

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More information about metaSEM at CRAN
Permanent link

Package CAvariants updated to version 3.2 with previous version 3.1 dated 2016-02-11

Title: Correspondence Analysis Variants
Description: Provides six variants of two-way correspondence analysis (ca): simple ca, singly ordered ca, doubly ordered ca, non-symmetrical ca, singly ordered non symmetrical ca, and doubly ordered non symmetrical ca.
Author: Rosaria Lombardo and Eric J Beh
Maintainer: Rosaria Lombardo <rosaria.lombardo@unina2.it>

Diff between CAvariants versions 3.1 dated 2016-02-11 and 3.2 dated 2016-08-18

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More information about CAvariants at CRAN
Permanent link

New package catlearn with initial version 0.3
Package: catlearn
Type: Package
Title: Formal Modeling for Psychology
Version: 0.3
Date: 2016-08-17
Author: Andy Wills
Maintainer: Andy Wills <andy@willslab.co.uk>
Description: Formal psychological models, independently-replicated data sets against which to test them, and simulation archives.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.6)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2016-08-18 09:22:26 UTC; andy
Repository: CRAN
Date/Publication: 2016-08-18 12:40:30

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Package statcheck updated to version 1.2.2 with previous version 1.0.1 dated 2015-02-04

Title: Extract Statistics from Articles and Recompute p Values
Description: Extract statistics from articles and recompute p values.
Author: Sacha Epskamp <mail@sachaepskamp.com> & Michele B. Nuijten <m.b.nuijten@uvt.nl>
Maintainer: Michele B. Nuijten <m.b.nuijten@uvt.nl>

Diff between statcheck versions 1.0.1 dated 2015-02-04 and 1.2.2 dated 2016-08-18

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Package NNS updated to version 0.2.0 with previous version 0.1.9.4 dated 2016-07-30

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments.
Author: Fred Viole
Maintainer: Fred Viole <viole.nawrocki@gmail.com>

Diff between NNS versions 0.1.9.4 dated 2016-07-30 and 0.2.0 dated 2016-08-18

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Package mplot updated to version 0.7.9 with previous version 0.7.8 dated 2016-08-16

Title: Graphical Model Stability and Variable Selection Procedures
Description: Model stability and variable inclusion plots [Mueller and Welsh (2010, <doi:10.1111/j.1751-5823.2010.00108.x>); Murray, Heritier and Mueller (2013, <doi:10.1002/sim.5855>)] as well as the adaptive fence [Jiang et al. (2008, <doi:10.1214/07-AOS517>); Jiang et al. (2009, <doi:10.1016/j.spl.2008.10.014>)] for linear and generalised linear models.
Author: Garth Tarr [aut, cre], Samuel Mueller [aut], Alan Welsh [aut]
Maintainer: Garth Tarr <garth.tarr@gmail.com>

Diff between mplot versions 0.7.8 dated 2016-08-16 and 0.7.9 dated 2016-08-18

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New package IHSEP with initial version 0.0
Package: IHSEP
Type: Package
Title: Inhomogeneous Self-Exciting Process
Version: 0.0
Date: 2016-08-17
Author: Feng Chen <feng.chen@unsw.edu.au>
Maintainer: Feng Chen <feng.chen@unsw.edu.au>
Description: Simulate an inhomogeneous self-exciting process (IHSEP), or Hawkes process, with a given (time-varying) baseline intensity and an excitation function. Calculate the likelihood of an IHSEP with given baseline intensity and excitation functions for an (increasing) sequence of event times. Calculate the point process residuals (integral transforms of the original event times). Calculate the mean intensity process.
License: GPL (>= 2)
LinkingTo: Rcpp
Imports: lpint,Rcpp
NeedsCompilation: yes
Packaged: 2016-08-17 22:38:32 UTC; z3243864
Repository: CRAN
Date/Publication: 2016-08-18 10:02:17

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Package DJL updated to version 2.5 with previous version 2.4 dated 2016-07-10

Title: Distance Measure Based Judgment and Learning
Description: Implements various decision support tools related to the new product development. Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, risk analysis, technology adoption model, new product target setting, etc.
Author: Dong-Joon Lim, PhD
Maintainer: Dong-Joon Lim <tgno3.com@gmail.com>

Diff between DJL versions 2.4 dated 2016-07-10 and 2.5 dated 2016-08-18

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Package DAAGbio updated to version 0.63-1 with previous version 0.62 dated 2013-10-05

Title: Data Sets and Functions, for Demonstrations with Expression Arrays and Gene Sequences
Description: Data sets and functions, for the display of gene expression array (microarray) data, and for demonstrations with such data.
Author: John Maindonald
Maintainer: John Maindonald <john.maindonald@anu.edu.au>

Diff between DAAGbio versions 0.62 dated 2013-10-05 and 0.63-1 dated 2016-08-18

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Package BoomSpikeSlab updated to version 0.7.0 with previous version 0.6.0 dated 2016-05-21

Title: MCMC for Spike and Slab Regression
Description: Spike and slab regression a la McCulloch and George (1997).
Author: Steven L. Scott <stevescott@google.com>
Maintainer: Steven L. Scott <stevescott@google.com>

Diff between BoomSpikeSlab versions 0.6.0 dated 2016-05-21 and 0.7.0 dated 2016-08-18

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Package Boom updated to version 0.5 with previous version 0.4 dated 2016-05-21

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 <stevescott@google.com>

Diff between Boom versions 0.4 dated 2016-05-21 and 0.5 dated 2016-08-18

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 Boom-0.4/Boom/src/error.cpp                                                                         |only
 Boom-0.5/Boom/DESCRIPTION                                                                           |    8 
 Boom-0.5/Boom/MD5                                                                                   |  335 +++++-----
 Boom-0.5/Boom/R/prior_specification.R                                                               |   39 +
 Boom-0.5/Boom/inst/include/BOOM.hpp                                                                 |    3 
 Boom-0.5/Boom/inst/include/LinAlg/Array.hpp                                                         |    3 
 Boom-0.5/Boom/inst/include/LinAlg/Array3.hpp                                                        |    7 
 Boom-0.5/Boom/inst/include/LinAlg/ArrayIterator.hpp                                                 |  109 ++-
 Boom-0.5/Boom/inst/include/LinAlg/LinAlgExceptions.hpp                                              |    2 
 Boom-0.5/Boom/inst/include/LinAlg/Matrix.hpp                                                        |  141 ++--
 Boom-0.5/Boom/inst/include/LinAlg/SWEEP.hpp                                                         |   78 +-
 Boom-0.5/Boom/inst/include/LinAlg/Selector.hpp                                                      |    9 
 Boom-0.5/Boom/inst/include/LinAlg/SpdMatrix.hpp                                                     |   59 +
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 Boom-0.5/Boom/inst/include/Models/DataTypes.hpp                                                     |    2 
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 Boom-0.5/Boom/inst/include/Models/Glm/ZeroInflatedLognormalRegression.hpp                           |    4 
 Boom-0.5/Boom/inst/include/Models/Glm/ZeroInflatedPoissonRegression.hpp                             |   16 
 Boom-0.5/Boom/inst/include/Models/HMM/HmmFilter.hpp                                                 |    2 
 Boom-0.5/Boom/inst/include/Models/HMM/hmm_tools.hpp                                                 |    8 
 Boom-0.5/Boom/inst/include/Models/Hierarchical/HierarchicalZeroInflatedGammaModel.hpp               |    7 
 Boom-0.5/Boom/inst/include/Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.hpp             |    6 
 Boom-0.5/Boom/inst/include/Models/IRT/IRT.hpp                                                       |   12 
 Boom-0.5/Boom/inst/include/Models/IRT/IrtModel.hpp                                                  |    2 
 Boom-0.5/Boom/inst/include/Models/MarginallyUniformCorrelationModel.hpp                             |    4 
 Boom-0.5/Boom/inst/include/Models/MarkovModel.hpp                                                   |    2 
 Boom-0.5/Boom/inst/include/Models/MvnModel.hpp                                                      |    2 
 Boom-0.5/Boom/inst/include/Models/MvtModel.hpp                                                      |    2 
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 Boom-0.5/Boom/inst/include/Models/StateSpace/StateSpaceModelBase.hpp                                |    2 
 Boom-0.5/Boom/inst/include/Models/Sufstat.hpp                                                       |    9 
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 Boom-0.5/Boom/inst/include/Models/UniformCorrelationModel.hpp                                       |    6 
 Boom-0.5/Boom/inst/include/Models/WeightedMvnModel.hpp                                              |    8 
 Boom-0.5/Boom/inst/include/Models/ZeroInflatedPoissonModel.hpp                                      |    9 
 Boom-0.5/Boom/inst/include/Models/ZeroMeanGaussianModel.hpp                                         |    1 
 Boom-0.5/Boom/inst/include/Samplers/ARMS.hpp                                                        |    2 
 Boom-0.5/Boom/inst/include/Samplers/MH_Proposals.hpp                                                |  113 +--
 Boom-0.5/Boom/inst/include/Samplers/Sampler.hpp                                                     |    7 
 Boom-0.5/Boom/inst/include/Samplers/SliceSampler.hpp                                                |   43 +
 Boom-0.5/Boom/inst/include/Samplers/TIM.hpp                                                         |    4 
 Boom-0.5/Boom/inst/include/TargetFun/TargetFun.hpp                                                  |    8 
 Boom-0.5/Boom/inst/include/cpputil/ParamHolder.hpp                                                  |    2 
 Boom-0.5/Boom/inst/include/cpputil/lse.hpp                                                          |    3 
 Boom-0.5/Boom/inst/include/cpputil/math_utils.hpp                                                   |    2 
 Boom-0.5/Boom/inst/include/cpputil/rep.hpp                                                          |    2 
 Boom-0.5/Boom/inst/include/cpputil/report_error.hpp                                                 |   17 
 Boom-0.5/Boom/inst/include/distributions.hpp                                                        |    7 
 Boom-0.5/Boom/inst/include/distributions/Markov.hpp                                                 |   12 
 Boom-0.5/Boom/inst/include/numopt.hpp                                                               |    2 
 Boom-0.5/Boom/inst/include/r_interface/boom_r_tools.hpp                                             |   35 +
 Boom-0.5/Boom/inst/include/r_interface/list_io.hpp                                                  |   28 
 Boom-0.5/Boom/inst/include/r_interface/prior_specification.hpp                                      |    3 
 Boom-0.5/Boom/inst/include/stats/ChiSquareTest.hpp                                                  |    2 
 Boom-0.5/Boom/inst/include/stats/NaturalSpline.hpp                                                  |    7 
 Boom-0.5/Boom/inst/include/stats/Resampler.hpp                                                      |    2 
 Boom-0.5/Boom/inst/include/stats/Spline.hpp                                                         |    2 
 Boom-0.5/Boom/inst/include/stats/diff.hpp                                                           |    2 
 Boom-0.5/Boom/inst/include/stats/moments.hpp                                                        |    4 
 Boom-0.5/Boom/inst/include/stats/regression.hpp                                                     |    2 
 Boom-0.5/Boom/man/normal.prior.Rd                                                                   |    8 
 Boom-0.5/Boom/src/LinAlg/Array.cpp                                                                  |  309 ++++-----
 Boom-0.5/Boom/src/LinAlg/ArrayIterator.cpp                                                          |  147 +++-
 Boom-0.5/Boom/src/LinAlg/Cholesky.cpp                                                               |    3 
 Boom-0.5/Boom/src/LinAlg/CorrelationMatrix.cpp                                                      |   49 -
 Boom-0.5/Boom/src/LinAlg/LU.cpp                                                                     |   16 
 Boom-0.5/Boom/src/LinAlg/SVD.cpp                                                                    |    6 
 Boom-0.5/Boom/src/LinAlg/SWEEP.cpp                                                                  |  205 ++----
 Boom-0.5/Boom/src/LinAlg/Selector.cpp                                                               |    2 
 Boom-0.5/Boom/src/LinAlg/SpdMatrix.cpp                                                              |  235 ++++---
 Boom-0.5/Boom/src/LinAlg/VectorView.cpp                                                             |   17 
 Boom-0.5/Boom/src/Models/BetaBinomialModel.cpp                                                      |    8 
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 Boom-0.5/Boom/src/Models/DirichletModel.cpp                                                         |    2 
 Boom-0.5/Boom/src/Models/GammaModel.cpp                                                             |   26 
 Boom-0.5/Boom/src/Models/Glm/BinomialLogitModel.cpp                                                 |    7 
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 Boom-0.5/Boom/src/Models/Glm/Glm.cpp                                                                |    2 
 Boom-0.5/Boom/src/Models/Glm/OrdinalCutpointModel.cpp                                               |    2 
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 Boom-0.5/Boom/src/Models/Glm/PosteriorSamplers/BinomialProbitTimSampler.cpp                         |only
 Boom-0.5/Boom/src/Models/Glm/PosteriorSamplers/GammaRegressionPosteriorSampler.cpp                  |    2 
 Boom-0.5/Boom/src/Models/Glm/RegressionModel.cpp                                                    |    3 
 Boom-0.5/Boom/src/Models/Glm/TRegression.cpp                                                        |    2 
 Boom-0.5/Boom/src/Models/Glm/WeightedRegressionModel.cpp                                            |   11 
 Boom-0.5/Boom/src/Models/Glm/ZeroInflatedLognormalRegression.cpp                                    |   17 
 Boom-0.5/Boom/src/Models/Glm/ZeroInflatedPoissonRegression.cpp                                      |   15 
 Boom-0.5/Boom/src/Models/HMM/HMM2.cpp                                                               |    2 
 Boom-0.5/Boom/src/Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp                        |   17 
 Boom-0.5/Boom/src/Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.cpp                      |   11 
 Boom-0.5/Boom/src/Models/MarginallyUniformCorrelationModel.cpp                                      |    4 
 Boom-0.5/Boom/src/Models/MvnModel.cpp                                                               |    2 
 Boom-0.5/Boom/src/Models/PosteriorSamplers/BetaBinomialPosteriorSampler.cpp                         |    3 
 Boom-0.5/Boom/src/Models/PosteriorSamplers/BetaBinomialSampler.cpp                                  |   23 
 Boom-0.5/Boom/src/Models/PosteriorSamplers/BetaPosteriorSampler.cpp                                 |    2 
 Boom-0.5/Boom/src/Models/PosteriorSamplers/DirichletPosteriorSampler.cpp                            |    3 
 Boom-0.5/Boom/src/Models/PosteriorSamplers/ZeroMeanGaussianConjSampler.cpp                          |   47 +
 Boom-0.5/Boom/src/Models/StateSpace/Filters/SparseKalmanTools.cpp                                   |   35 -
 Boom-0.5/Boom/src/Models/StateSpace/Filters/SparseMatrix.cpp                                        |   10 
 Boom-0.5/Boom/src/Models/StateSpace/Filters/SparseVector.cpp                                        |    4 
 Boom-0.5/Boom/src/Models/StateSpace/PosteriorSamplers/StateSpacePoissonPosteriorSampler.cpp         |    3 
 Boom-0.5/Boom/src/Models/StateSpace/StateModels/ArStateModel.cpp                                    |   43 +
 Boom-0.5/Boom/src/Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp                     |   78 +-
 Boom-0.5/Boom/src/Models/StateSpace/StateModels/LocalLevelStateModel.cpp                            |   72 +-
 Boom-0.5/Boom/src/Models/StateSpace/StateModels/LocalLinearTrend.cpp                                |   23 
 Boom-0.5/Boom/src/Models/StateSpace/StateModels/LocalLinearTrendMeanRevertingSlope.cpp              |   46 -
 Boom-0.5/Boom/src/Models/StateSpace/StateModels/RandomWalkHolidayStateModel.cpp                     |   26 
 Boom-0.5/Boom/src/Models/StateSpace/StateModels/RegressionStateModel.cpp                            |   51 +
 Boom-0.5/Boom/src/Models/StateSpace/StateModels/SeasonalStateModel.cpp                              |   42 +
 Boom-0.5/Boom/src/Models/StateSpace/StateModels/StateModel.cpp                                      |    9 
 Boom-0.5/Boom/src/Models/StateSpace/StateModels/StudentLocalLinearTrend.cpp                         |  132 ++-
 Boom-0.5/Boom/src/Models/StateSpace/StateModels/TrigStateModel.cpp                                  |   13 
 Boom-0.5/Boom/src/Models/StateSpace/StateSpaceModel.cpp                                             |  100 +-
 Boom-0.5/Boom/src/Models/StateSpace/StateSpacePoissonModel.cpp                                      |    7 
 Boom-0.5/Boom/src/Models/Sufstat.cpp                                                                |    1 
 Boom-0.5/Boom/src/Models/TimeSeries/ArModel.cpp                                                     |   13 
 Boom-0.5/Boom/src/Models/TimeSeries/PosteriorSamplers/ArSpikeSlabSampler.cpp                        |only
 Boom-0.5/Boom/src/Models/UniformShrinkagePriorModel.cpp                                             |    2 
 Boom-0.5/Boom/src/Models/WeightedMvnModel.cpp                                                       |    2 
 Boom-0.5/Boom/src/Models/ZeroInflatedPoissonModel.cpp                                               |    8 
 Boom-0.5/Boom/src/Models/ZeroMeanGaussianModel.cpp                                                  |   21 
 Boom-0.5/Boom/src/Samplers/MH_Proposals.cpp                                                         |   39 -
 Boom-0.5/Boom/src/Samplers/MetropolisHastings.cpp                                                   |    4 
 Boom-0.5/Boom/src/Samplers/SliceSampler.cpp                                                         |  168 +++--
 Boom-0.5/Boom/src/Samplers/TIM.cpp                                                                  |   37 -
 Boom-0.5/Boom/src/TargetFun/TargetFun.cpp                                                           |    5 
 Boom-0.5/Boom/src/boom_r_tools.cpp                                                                  |   32 
 Boom-0.5/Boom/src/cpputil/lse.cpp                                                                   |    2 
 Boom-0.5/Boom/src/create_state_model.cpp                                                            |   38 +
 Boom-0.5/Boom/src/distributions/Wishart.cpp                                                         |    2 
 Boom-0.5/Boom/src/distributions/dirichlet.cpp                                                       |   26 
 Boom-0.5/Boom/src/distributions/matrix_normal.cpp                                                   |   16 
 Boom-0.5/Boom/src/distributions/mvn.cpp                                                             |    6 
 Boom-0.5/Boom/src/distributions/mvt.cpp                                                             |   18 
 Boom-0.5/Boom/src/distributions/rmulti.cpp                                                          |   30 
 Boom-0.5/Boom/src/distributions/trun_norm.cpp                                                       |   67 +-
 Boom-0.5/Boom/src/list_io.cpp                                                                       |   96 ++
 Boom-0.5/Boom/src/numopt/bfgs.cpp                                                                   |    9 
 Boom-0.5/Boom/src/numopt/conj_grad.cpp                                                              |  146 ++--
 Boom-0.5/Boom/src/numopt/max_nd.cpp                                                                 |    2 
 Boom-0.5/Boom/src/numopt/nelder_mead.cpp                                                            |  286 ++++----
 Boom-0.5/Boom/src/numopt/newton.cpp                                                                 |    2 
 Boom-0.5/Boom/src/numopt/simulated_annealing.cpp                                                    |   44 -
 Boom-0.5/Boom/src/prior_specification.cpp                                                           |    9 
 Boom-0.5/Boom/src/stats/moments.cpp                                                                 |    1 
 178 files changed, 3055 insertions(+), 1795 deletions(-)

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