Wed, 28 Oct 2015

Package purge updated to version 0.2.0 with previous version 0.1.0 dated 2015-09-02

Title: Purge Training Data from Models
Description: Enables the removal of training data from fitted R models while retaining predict functionality. The purged models are more portable as their memory footprints do not scale with the training sample size.
Author: Marc Maier [cre], Chaoqun Jia [ctb], MassMutual Advanced Analytics [aut] (http://datascience.massmutual.com)
Maintainer: Marc Maier <mmaier@massmutual.com>

Diff between purge versions 0.1.0 dated 2015-09-02 and 0.2.0 dated 2015-10-28

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Package WiSEBoot updated to version 1.3.0 with previous version 1.2.0 dated 2015-09-05

Title: Wild Scale-Enhanced Bootstrap
Description: Perform the Wild Scale-Enhanced (WiSE) bootstrap. Specifically, the user may supply a single or multiple equally-spaced time series and use the WiSE bootstrap to select a wavelet-smoothed model. Conversely, a pre-selected smooth level may also be specified for the time series. Quantities such as the bootstrap sample of wavelet coefficients, smoothed bootstrap samples, and specific hypothesis testing and confidence region results of the wavelet coefficients may be obtained. Additional functions are available to the user which help format the time series before analysis. This methodology is recommended to aid in model selection and signal extraction. Note: This package specifically uses wavelet bases in the WiSE bootstrap methodology, but the theoretical construct is much more versatile.
Author: Megan Heyman, Snigdhansu Chatterjee
Maintainer: Megan Heyman <heyma029@umn.edu>

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Package stream updated to version 1.2-2 with previous version 1.2-1 dated 2015-09-09

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893 and NIH R21HG005912.
Author: Michael Hahsler [aut, cre, cph], Matthew Bolanos [aut, cph], John Forrest [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between stream versions 1.2-1 dated 2015-09-09 and 1.2-2 dated 2015-10-28

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Package sivipm updated to version 1.1-2 with previous version 1.0-0 dated 2015-04-14

Title: Sensitivity Indices with Dependent Inputs
Description: Sensitivity indices with dependent correlated inputs, using a method based on PLS regression.
Author: A. Bouvier [aut], J.-P. Gauchi [aut, cre], E. Volatier [ctb]
Maintainer: Annie Bouvier <annie.bouvier@jouy.inra.fr>

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Package rPref updated to version 0.7 with previous version 0.6 dated 2015-08-23

Title: Database Preferences and Skyline Computation
Description: Routines to select and visualize the maxima for a given strict partial order. This especially includes the computation of the Pareto frontier, also known as (Top-k) Skyline operator, and some generalizations (database preferences).
Author: Patrick Roocks <mail@p-roocks.de>
Maintainer: Patrick Roocks <mail@p-roocks.de>

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Package rrBLUP updated to version 4.4 with previous version 4.3 dated 2014-03-06

Title: Ridge Regression and Other Kernels for Genomic Selection
Description: Software for genomic prediction with the RR-BLUP mixed model. One application is to estimate marker effects by ridge regression; alternatively, BLUPs can be calculated based on an additive relationship matrix or a Gaussian kernel.
Author: Jeffrey Endelman
Maintainer: Jeffrey Endelman <endelman@wisc.edu>

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Package roxygen2 updated to version 5.0.0 with previous version 4.1.1 dated 2015-04-15

Title: In-Source Documentation for R
Description: A 'Doxygen'-like in-source documentation system for Rd, collation, and 'NAMESPACE' files.
Author: Hadley Wickham [aut, cre, cph], Peter Danenberg [aut, cph], Manuel Eugster [aut, cph], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package rankhazard updated to version 1.0-2 with previous version 1.0 dated 2014-04-02

Title: Rank-Hazard Plots
Description: Rank-hazard plots (Karvanen and Harrell, Statistics in Medicine 2009) visualize the relative importance of covariates in a proportional hazards model. The key idea is to rank the covariate values and plot the relative hazard as a function of ranks scaled to interval [0,1]. The relative hazard is plotted in respect to the reference hazard, which can bee.g. the hazard related to the median of the covariate.
Author: Juha Karvanen, Nanni Koski
Maintainer: Nanni Koski <nanni.t.koski@student.jyu.fi>

Diff between rankhazard versions 1.0 dated 2014-04-02 and 1.0-2 dated 2015-10-28

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New package multiwave with initial version 1.0
Package: multiwave
Version: 1.0
Date: 2015-10-27
Title: Estimation of Multivariate Long-Memory Models Parameters
Authors@R: c(person("Sophie", "Achard", role=c("aut","cre"), email="sophie.achard@gipsa-lab.fr"),person("Irene","Gannaz", role=c("aut"), email="irene.gannaz@insa-lyon.fr"))
Maintainer: Sophie Achard <sophie.achard@gipsa-lab.fr>
Description: Computation of an estimation of the long-memory parameters and the long-run covariance matrix using a multivariate model (Lobato, 1999; Shimotsu 2007). Two semi-parametric methods are implemented: a Fourier based approach (Shimotsu 2007) and a wavelet based approach (Achard and Gannaz 2014).
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2015-10-28 10:58:04 UTC; achards
Author: Sophie Achard [aut, cre], Irene Gannaz [aut]
Repository: CRAN
Date/Publication: 2015-10-28 18:39:20

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Package multicool updated to version 0.1-9 with previous version 0.1-8 dated 2015-10-22

Title: Permutations of Multisets in Cool-Lex Order
Description: A set of tools to permute multisets without loops or hash tables and to generate integer partitions. The permutation functions are based on C code from Aaron Williams. Cool-lex order is similar to colexicographical order. The algorithm is described in Williams, A. Loopless Generation of Multiset Permutations by Prefix Shifts. SODA 2009, Symposium on Discrete Algorithms, New York, United States. The permutation code is distributed without restrictions. The code for stable and efficient computation of multinomial coefficients comes from Dave Barber. The code can be download from http://home.comcast.net/~tamivox/dave/multinomial/index.html and is distributed without conditions. The package also generates the integer partitions of a positive, non-zero integer n. The C++ code for this is based on Python code from Jerome Kelleher which can be found here http://jeromekelleher.net/partitions.php. The C++ code and Python code are distributed without conditions.
Author: James Curran, Aaron Williams, Jerome Kelleher, Dave Barber
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package matchingR updated to version 1.2 with previous version 1.1.1 dated 2015-09-21

Title: Matching Algorithms in R and C++
Description: Computes matching algorithms efficiently using Rcpp. Implements the Gale-Shapley Algorithm to compute the stable matching for two-sided markets, such as the stable marriage problem and the college-admissions problem. Implements Irving's Algorithm for the stable roommate problem. Implements the top trading cycle algorithm for the indivisible goods trading problem.
Author: Jan Tilly, Nick Janetos
Maintainer: Jan Tilly <jtilly@econ.upenn.edu>

Diff between matchingR versions 1.1.1 dated 2015-09-21 and 1.2 dated 2015-10-28

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New package lucr with initial version 0.1.1
Package: lucr
Title: Currency Formatting and Conversion
Version: 0.1.1
Date: 2015-10-28
Author: Oliver Keyes
Maintainer: Oliver Keyes <ironholds@gmail.com>
Description: Reformat currency-based data as numeric values (or numeric values as currency-based data) and convert between currencies.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/ironholds/lucr
BugReports: https://github.com/ironholds/lucr/issues
LinkingTo: Rcpp
Imports: Rcpp, httr
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2015-10-28 16:07:12 UTC; ironholds
Repository: CRAN
Date/Publication: 2015-10-28 18:39:12

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Package gdtools updated to version 0.0.4 with previous version 0.0.3 dated 2015-10-22

Title: Utilities for Graphical Rendering
Description: Useful tools for writing vector graphics devices.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Jeroen Ooms [ctb], Yixuan Qiu [ctb], RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between gdtools versions 0.0.3 dated 2015-10-22 and 0.0.4 dated 2015-10-28

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New package flacco with initial version 1.0
Package: flacco
Title: Feature-Based Landscape Analysis of Continuous and Constraint Optimization Problems
Description: Contains tools and features, which can be used for an exploratory landscape analysis of continuous optimization problems. Those are able to quantify rather complex properties, such as the global structure, separability, etc., of continuous optimization problems.
Authors@R: c(person("Pascal", "Kerschke", role = c("aut", "cre"), email = "kerschke@uni-muenster.de"), person("Jan", "Dagefoerde", role = "aut"))
URL: https://github.com/kerschke/flacco
BugReports: https://github.com/kerschke/flacco/issues
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.0.0), BBmisc, checkmate
Suggests: devtools, e1071, expm, lhs, MASS, Matrix, mda, mlbench, mlr, numDeriv, parallel, parallelMap, plyr, RANN, rpart, shape, smoof, testthat
LazyData: yes
ByteCompile: yes
Version: 1.0
Date: 2015-10-28
NeedsCompilation: no
Packaged: 2015-10-28 17:46:27 UTC; Pascal
Author: Pascal Kerschke [aut, cre], Jan Dagefoerde [aut]
Maintainer: Pascal Kerschke <kerschke@uni-muenster.de>
Repository: CRAN
Date/Publication: 2015-10-28 19:41:40

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Package DTRlearn updated to version 1.1 with previous version 1.0 dated 2015-10-23

Title: Learning Algorithms for Dynamic Treatment Regimes
Description: Dynamic treatment regimens (DTRs) are sequential decision rules tailored at each stage by time-varying subject-specific features and intermediate outcomes observed in previous stages. This package implements three methods: O-learning (Zhao et. al. 2012,2014), Q-learning (Murphy et. al. 2007; Zhao et.al. 2009) and P-learning (Liu et. al. 2014, 2015) to estimate the optimal DTRs.
Author: Ying Liu, Yuanjia Wang, Donglin Zeng
Maintainer: Ying Liu <yl2802@cumc.columbia.edu>

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Package cit updated to version 1.7 with previous version 1.5 dated 2015-10-25

Title: Causal Inference Test
Description: A likelihood-based hypothesis testing approach is implemented for assessing causal mediation. For example, it could be used to test for mediation of a known causal association between a DNA variant, the 'instrumental variable', and a clinical outcome or phenotype by gene expression or DNA methylation, the potential mediator. Another example would be testing mediation of the effect of a drug on a clinical outcome by the molecular target. The hypothesis test generates a p-value or permutation-based FDR value with confidence intervals to quantify uncertainty in the causal inference. The outcome can be represented by either a continuous or binary variable, the potential mediator is continuous, and the instrumental variable can be continuous or binary and is not limited to a single variable but may be a design matrix representing multiple variables.
Author: Joshua Millstein
Maintainer: Joshua Millstein <joshua.millstein@usc.edu>

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Package chebpol updated to version 1.3-1789 with previous version 1.3-1367 dated 2014-09-01

Title: Multivariate Chebyshev Interpolation
Description: Contains methods for creating multivariate Chebyshev approximation of functions on a hypercube. Some methods for non-Chebyshev grids are also provided.
Author: Simen Gaure, Ragnar Frisch Centre for Economic Research, Oslo, Norway
Maintainer: Simen Gaure <Simen.Gaure@frisch.uio.no>

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Package bWGR updated to version 1.2 with previous version 1.1 dated 2015-10-21

Title: Bagging Whole-Genome Regression
Description: Designed for whole-genome regressions using Bayesian models fitted via Gibbs sampling with optional resampling techniques and polygenic term with reduced dimensionality.
Author: Alencar Xavier, William Muir, Katy Rainey.
Maintainer: Alencar Xavier <xaviera@purdue.edu>

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Package bcRep updated to version 1.2.2 with previous version 1.1 dated 2015-10-12

Title: Advanced Analysis of B Cell Receptor Repertoire Data
Description: Methods for advanced analysis of B cell receptor repertoire data, like gene usage, mutations, clones and diversity and their visualisation.
Author: Julia Bischof
Maintainer: Julia Bischof <Julia.Bischof@uksh.de>

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New package Biocomb with initial version 0.1
Package: Biocomb
Type: Package
Title: Feature Selection and Classification with the Embedded Validation Procedures for Biomedical Data Analysis
Version: 0.1
Date: 2015-10-14
Author: Natalia Novoselova,Junxi Wang,Frank Pessler,Frank Klawonn
Maintainer: Natalia Novoselova <novos65@mail.ru>
Description: Contains functions for the data analysis with the emphasis on biological data, including several algorithms for feature ranking, feature selection, classification algorithms with the embedded validation procedures. The functions can deal with numerical as well as with nominal features. Includes also the functions for calculation of feature AUC (Area Under the ROC Curve) and HUM (hypervolume under manifold) values and construction 2D- and 3D- ROC curves. Biocomb provides the calculation of Area Above the RCC (AAC) values and construction of Relative Cost Curves (RCC) to estimate the classifier performance under unequal misclassification costs problem. Biocomb has the special function to deal with missing values, including different imputing schemes.
License: GPL (>= 3)
Imports: Rcpp (>= 0.12.1),MASS,e1071,randomForest,pROC,ROCR, discretization,arules,pamr,class,nnet,rpart,rgl,FSelector,RWeka, grDevices, graphics, stats, utils
LinkingTo: Rcpp
Depends: R (>= 2.13.0),gtools
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2015-10-28 08:14:57 UTC; Natalia
Repository: CRAN
Date/Publication: 2015-10-28 18:38:55

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Package TESS updated to version 2.1.0 with previous version 2.0.0 dated 2015-06-18

Title: Diversification Rate Estimation and Fast Simulation of Reconstructed Phylogenetic Trees under Tree-Wide Time-Heterogeneous Birth-Death Processes Including Mass-Extinction Events
Description: Simulation of reconstructed phylogenetic trees under tree-wide time-heterogeneous birth-death processes and estimation of diversification parameters under the same model. Speciation and extinction rates can be any function of time and mass-extinction events at specific times can be provided. Trees can be simulated either conditioned on the number of species, the time of the process, or both. Additionally, the likelihood equations are implemented for convenience and can be used for Maximum Likelihood (ML) estimation and Bayesian inference.
Author: Sebastian Hoehna and Michael R. May
Maintainer: Sebastian Hoehna <Sebastian.Hoehna@gmail.com>

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Package RESS updated to version 1.3 with previous version 1.2 dated 2015-07-30

Title: Integrates R and Essentia
Description: Contains three functions that query AuriQ Systems' Essentia Database and return the results in R. 'essQuery' takes a single Essentia command and captures the output in R, where you can save the output to a dataframe or stream it directly into additional analysis. 'read.essentia' takes an Essentia script and captures the output csv data into R, where you can save the output to a dataframe or stream it directly into additional analysis. 'capture.essentia' takes a file containing any number of Essentia commands and captures the output of the specified statements into R dataframes. Essentia can be downloaded for free at http://www.auriq.com/documentation/source/install/index.html.
Author: Ben Waxer
Maintainer: Ben Waxer <bwaxer@auriq.com>

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New package randomForest.ddR with initial version 0.1.0
Package: randomForest.ddR
Type: Package
Title: Distributed 'randomForest' for Big Data using 'ddR' API
Version: 0.1.0
Date: 2015-10-23
Author: Vishrut Gupta, Arash Fard, Winston Li, Matthew Saltz
Maintainer: Vishrut Gupta <vishrut.gupta@hpe.com>
Depends: R (>= 3.0.0)
Imports: ddR, stats, randomForest (>= 4.6-10)
Suggests: testthat
Description: Distributed training and prediction of random forest models based upon 'randomForest' package.
License: GPL (>= 2) | file LICENSE
NeedsCompilation: no
Packaged: 2015-10-28 00:19:25 UTC; guptavis
Repository: CRAN
Date/Publication: 2015-10-28 08:45:05

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Package MCMC.qpcr updated to version 1.2.2 with previous version 1.2 dated 2015-05-23

Title: Bayesian Analysis of qRT-PCR Data
Description: Quantitative RT-PCR data are analyzed using generalized linear mixed models based on lognormal-Poisson error distribution, fitted using MCMC. Control genes are not required but can be incorporated as Bayesian priors or, when template abundances correlate with conditions, as trackers of global effects (common to all genes). The package also implements a lognormal model for higher-abundance data and a "classic" model involving multi-gene normalization on a by-sample basis. Several plotting functions are included to extract and visualize results. The detailed tutorial is available here: http://bit.ly/1Nwo4CB.
Author: Mikhail V. Matz
Maintainer: Mikhail V. Matz <matz@utexas.edu>

Diff between MCMC.qpcr versions 1.2 dated 2015-05-23 and 1.2.2 dated 2015-10-28

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 R/mcmc.qpcr.R            |   13 +++++++++----
 R/mcmc.qpcr.lognormal.R  |   13 +++++++++----
 man/MCMC.qpcr-package.Rd |    6 +++---
 man/getNormalizedData.Rd |    5 ++++-
 9 files changed, 54 insertions(+), 30 deletions(-)

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Package knitcitations updated to version 1.0.7 with previous version 1.0.6 dated 2015-05-25

Title: Citations for 'Knitr' Markdown Files
Description: Provides the ability to create dynamic citations in which the bibliographic information is pulled from the web rather than having to be entered into a local database such as 'bibtex' ahead of time. The package is primarily aimed at authoring in the R 'markdown' format, and can provide outputs for web-based authoring such as linked text for inline citations. Cite using a 'DOI', URL, or 'bibtex' file key. See the package URL for details.
Author: Carl Boettiger [aut, cre]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between knitcitations versions 1.0.6 dated 2015-05-25 and 1.0.7 dated 2015-10-28

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 R/bibliography.R                   |    2 +-
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 inst/doc/tutorial.pdf              |binary
 man/bibliography.Rd                |    2 +-
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 tests/testthat/test_bib_metadata.R |    1 +
 tests/testthat/test_cite.R         |   14 +++++++++++++-
 13 files changed, 47 insertions(+), 38 deletions(-)

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Package lmmot updated to version 0.1.3 with previous version 0.1.2 dated 2014-12-16

Title: Multiple Ordinal Tobit (MOT) Model
Description: Fit right censored Multiple Ordinal Tobit (MOT) model.
Author: Marvin N. Wright
Maintainer: Marvin N. Wright <wright@imbs.uni-luebeck.de>

Diff between lmmot versions 0.1.2 dated 2014-12-16 and 0.1.3 dated 2015-10-28

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 NAMESPACE            |    4 +++-
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 R/motFisher.R        |    5 +++--
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 R/motHessian.R       |    5 +++--
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 man/print.lmmot.Rd   |    3 ++-
 man/summary.lmmot.Rd |    3 ++-
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Package edgar updated to version 1.0.3 with previous version 1.0.2 dated 2015-09-24

Title: Platform for EDGAR Filing Management
Description: EDGAR is the Electronic Data Gathering, Analysis, and Retrieval system which performs automated collection, validation, indexing, acceptance, and forwarding of submissions by companies and others who are required by law to file forms with the U.S. Securities and Exchange Commission (SEC). This package downloads EDGAR quarterly master index, daily master index, filings from SEC.org site and do sentiment analysis of 10-K statements.
Author: Gunratan Lonare <lonare.gunratan@gmail.com>, Bharat Patil <bharatspatil@gmail.com>
Maintainer: Gunratan Lonare <lonare.gunratan@gmail.com>

Diff between edgar versions 1.0.2 dated 2015-09-24 and 1.0.3 dated 2015-10-28

 edgar-1.0.2/edgar/R/downlaod_master_index.R                         |only
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 edgar-1.0.3/edgar/MD5                                               |   24 +-
 edgar-1.0.3/edgar/R/download_filings.R                              |    2 
 edgar-1.0.3/edgar/R/download_master_index.R                         |only
 edgar-1.0.3/edgar/R/get_wordfrquency.R                              |    5 
 edgar-1.0.3/edgar/R/polarity_histogram.R                            |   87 +++++-----
 edgar-1.0.3/edgar/R/runEDGAR_shiny.R                                |    9 -
 edgar-1.0.3/edgar/inst/shiny-edgar/edgarapp/edgar_shiny_functions.R |   14 +
 edgar-1.0.3/edgar/inst/shiny-edgar/edgarapp/server.R                |   10 -
 edgar-1.0.3/edgar/inst/shiny-edgar/edgarapp/ui.R                    |    2 
 edgar-1.0.3/edgar/man/RunEdgarShiny.Rd                              |    5 
 edgar-1.0.3/edgar/man/negwords.Rd                                   |    8 
 edgar-1.0.3/edgar/man/poswords.Rd                                   |    8 
 14 files changed, 99 insertions(+), 85 deletions(-)

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Package dina updated to version 1.0.1 with previous version 1.0 dated 2015-10-27

Title: Bayesian Estimation of DINA Model
Description: Estimate the Deterministic Input, Noisy ``And'' Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) DOI: 10.3102/1076998615595403.
Author: Steven Andrew Culpepper [aut, cph, cre]
Maintainer: Steven Andrew Culpepper <sculpepp@illinois.edu>

Diff between dina versions 1.0 dated 2015-10-27 and 1.0.1 dated 2015-10-28

 DESCRIPTION           |    6 +++---
 MD5                   |   10 +++++-----
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 man/dina-package.Rd   |    2 +-
 src/DINAcpp101315.cpp |   12 ++++++------
 6 files changed, 28 insertions(+), 28 deletions(-)

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