Fri, 25 Mar 2016

New package trelliscope with initial version 0.9.4
Package: trelliscope
Type: Package
Title: Create and Navigate Large Multi-Panel Visual Displays
Version: 0.9.4
Date: 2016-03-23
Authors@R: c(person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("aut", "cre")), person("Jeremiah", "Rounds", role = "ctb"), person("Barret", "Schloerke", role = "ctb"), person("Landon", "Sego", role = "ctb"))
Maintainer: Ryan Hafen <rhafen@gmail.com>
Description: An extension of Trellis Display that enables creation, organization, and interactive viewing of multi-panel displays created against potentially very large data sets. The dynamic viewer tiles panels of a display across the screen in a web browser and allows the user to interactively page through the panels and sort and filter them based on "cognostic" metrics computed for each panel. Panels can be created using many of R's plotting capabilities, including base R graphics, 'lattice', 'ggplot2', and many 'htmlwidgets'. Conditioning is handled through the 'datadr' package, which enables 'Trelliscope' displays with potentially millions of panels to be created against terabytes of data on systems like 'Hadoop'. While designed to scale, 'Trelliscope' displays can also be very useful for small data sets.
URL: http://tessera.io/docs-trelliscope
BugReports: https://github.com/tesseradata/trelliscope/issues
License: BSD_3_clause + file LICENSE
LazyData: yes
NeedsCompilation: no
Depends: R (>= 3.0.0), datadr (>= 0.8.5),
Imports: lattice (>= 0.20-23), ggplot2, data.table, base64enc, shiny (>= 0.12.0), htmlwidgets (>= 0.5.0), digest, jsonlite, hexbin, png, rsconnect
Suggests: Cairo, dplyr, testthat (>= 0.11.0), roxygen2 (>= 5.0.1), scagnostics, housingData
RoxygenNote: 5.0.1
Packaged: 2016-03-25 00:45:57 UTC; hafen
Author: Ryan Hafen [aut, cre], Jeremiah Rounds [ctb], Barret Schloerke [ctb], Landon Sego [ctb]
Repository: CRAN
Date/Publication: 2016-03-25 20:01:08

More information about trelliscope at CRAN
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Package rebmix updated to version 2.8.0 with previous version 2.7.2 dated 2015-08-13

Title: Finite Mixture Modeling, Clustering & Classification
Description: R functions for random univariate and multivariate finite mixture model generation, estimation, clustering and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, binomial, Poisson or Dirac parametric families.
Author: Marko Nagode [aut, cre]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>

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Package missMDA updated to version 1.10 with previous version 1.9 dated 2015-12-15

Title: Handling Missing Values with Multivariate Data Analysis
Description: Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA.
Author: Francois Husson, Julie Josse
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>

Diff between missMDA versions 1.9 dated 2015-12-15 and 1.10 dated 2016-03-25

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Package mcmcse updated to version 1.2-1 with previous version 1.1-2 dated 2015-08-24

Title: Monte Carlo Standard Errors for MCMC
Description: Provides tools for computing Monte Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE computation for expectation and quantile estimators is supported as well as multivariate estimations. The package also provides functions for computing effective sample size and for plotting Monte Carlo estimates versus sample size.
Author: James M. Flegal <jflegal@ucr.edu>, John Hughes <hughesj@umn.edu> and Dootika Vats <vatsx007@umn.edu>
Maintainer: James M. Flegal <jflegal@ucr.edu>

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New package hBayesDM with initial version 0.2.0
Package: hBayesDM
Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
Version: 0.2.0
Date: 2016-3-24
Authors@R: c( person("Woo-Young", "Ahn", email = "ahn.280@osu.edu", role = c("aut", "cre")), person("Nate", "Haines", email = "haines.175@osu.edu", role = c("aut")), person("Lei", "Zhang", email = "bnuzhanglei2008@gmail.com", role = c("aut")) )
Description: Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of various computational models with a single line of coding.
Depends: rstan, loo, R (>= 3.0.2)
Imports: grid, parallel, mail, modeest, ggplot2
URL: http://u.osu.edu/ccsl/codedata/hbayesdm/
License: GPL-3
LazyData: true
Author: Woo-Young Ahn [aut, cre], Nate Haines [aut], Lei Zhang [aut]
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-25 16:20:37 UTC; wahn
Maintainer: Woo-Young Ahn <ahn.280@osu.edu>
Repository: CRAN
Date/Publication: 2016-03-25 20:00:59

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Package GetoptLong updated to version 0.1.2 with previous version 0.1.1 dated 2015-12-04

Title: Parsing Command-Line Arguments and Variable Interpolation
Description: This is yet another command-line argument parser which wraps the powerful Perl module Getopt::Long and with some adaptation for easier use in R. It also provides a simple way for variable interpolation in R.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

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Package geomorph updated to version 3.0.1 with previous version 3.0.0 dated 2016-01-21

Title: Geometric Morphometric Analyses of 2D/3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams, Michael Collyer, Emma Sherratt
Maintainer: Dean Adams <dcadams@iastate.edu>

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New package CUFF with initial version 1.0
Note: -*- Encoding: utf-8 -*-
Package: CUFF
Type: Package
Title: Charles's Utility Function using Formula
Version: 1.0
Date: 2016-03-13
Author: Charles-Édouard Giguère
Maintainer: Charles-Édouard Giguère <ce.giguere@gmail.com>
Depends: R (>= 3.2.2)
Imports: openxlsx, xtable
Description: Utility functions that provides wrapper to descriptive base functions like correlation, mean and table . It makes use of the formula interface to pass variables to functions. It also provides operators like to concatenate (%+%), to repeat and manage character vector for nice display.
License: GPL (>= 2)
Encoding: UTF-8
LazyLoad: TRUE
LazyData: YES
URL: https://github.com/giguerch/CUFF
NeedsCompilation: no
Packaged: 2016-03-25 01:21:33 UTC; Charles-Edouard
Repository: CRAN
Date/Publication: 2016-03-25 20:00:46

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Package CALF updated to version 0.1.2 with previous version 0.1.1 dated 2016-01-04

Title: Coarse Approximation Linear Function
Description: Contains a greedy algorithm for coarse approximation linear function.
Author: Stephanie Lane [aut, cre], Clark Jeffries [aut], Diana Perkins [aut]
Maintainer: Stephanie Lane <slane@unc.edu>

Diff between CALF versions 0.1.1 dated 2016-01-04 and 0.1.2 dated 2016-03-25

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Package BiodiversityR updated to version 2.7-0 with previous version 2.6-1 dated 2016-01-24

Title: Package for Community Ecology and Suitability Analysis
Description: Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Author: Roeland Kindt
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>

Diff between BiodiversityR versions 2.6-1 dated 2016-01-24 and 2.7-0 dated 2016-03-25

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Package archivist.github updated to version 0.1.1 with previous version 0.1 dated 2016-02-17

Title: Tools for Archiving, Managing and Sharing R Objects via GitHub
Description: The extension of the 'archivist' package integrating the archivist with GitHub via GitHub API, 'git2r' packages and 'httr' package.
Author: Marcin Kosinski [aut, cre], Przemyslaw Biecek [aut]
Maintainer: Marcin Kosinski <m.p.kosinski@gmail.com>

Diff between archivist.github versions 0.1 dated 2016-02-17 and 0.1.1 dated 2016-03-25

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New package accelmissing with initial version 1.0
Package: accelmissing
Type: Package
Title: Missing Value Imputation for Accelerometer Data
Version: 1.0
Date: 2016-03-25
Author: Jung Ae Lee <jungaeleeb@gmail.com>
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>
Description: Imputation for the missing count values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputations under the zero-inflated Poisson lognormal model. This package also provides multiple functions to pre-process the accelerometer data previous to the missing data imputation. These includes detecting wearing and non-wearing time, selecting valid days and subjects, and creating plots.
License: GPL (>= 2)
Depends: R (>= 2.10), mice, pscl
Packaged: 2016-03-25 15:23:54 UTC; leeju
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-25 20:00:49

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Package TMB updated to version 1.7.0 with previous version 1.6.6 dated 2016-01-30

Title: Template Model Builder: A General Random Effect Tool Inspired by ADMB
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines CppAD (C++ automatic differentiation), Eigen (templated matrix-vector library) and CHOLMOD (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through BLAS and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Cole Monnahan [ctb]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

Diff between TMB versions 1.6.6 dated 2016-01-30 and 1.7.0 dated 2016-03-25

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New package PSF with initial version 0.1
Package: PSF
Type: Package
Title: Algorithm for Pattern Sequence Based Forecasting
Version: 0.1
Date: 2016-03-16
Author: Neeraj Bokde
Maintainer: Neeraj Bokde <neerajdhanraj@gmail.com>
Description: Various functions in Pattern Sequence Based Forecasting (PSF) takes time series data as input and assist to forecast the future value with the help of Algorithm PSF. This algorithm forecasts the behavior of time series based on similarity of pattern sequences. Initially, clustering is done with the labeling of samples from database. The labels associated with samples are then used for forecasting the future behaviour of time series data. The further technical details and references regarding PSF are discussed in Vignette.
License: GPL (>= 2)
Imports: cluster
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-23 03:31:03 UTC; NEERAJ
Repository: CRAN
Date/Publication: 2016-03-25 14:48:06

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New package PAC with initial version 1.0.0
Package: PAC
Type: Package
Title: Partition-Assisted Clustering
Version: 1.0.0
Date: 2016-02-15
Author: Dangna Li, Henry Li
Maintainer: Dangna Li <ldangna@gmail.com>
Description: Implements Partition-Assisted Clustering, which utilizes a collection of partition based nonparametric density estimation techniques to improve the robustness and accuracy of downstream clustering. The package also provides functions for effectively visualizing the clustering results. It is particularly useful for finding and visualizing subpopulations in single-cell data analysis.
License: GPL-3
Imports: Rcpp (>= 0.12.2),NMF,RJSONIO,data.table,dplyr
Suggests: knitr
VignetteBuilder: knitr
LinkingTo: Rcpp
RoxygenNote: 5.0.1
NeedsCompilation: yes
SystemRequirements: C++11
Packaged: 2016-03-22 15:24:21 UTC; dangna
Repository: CRAN
Date/Publication: 2016-03-25 14:25:29

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Package JMbayes updated to version 0.7-9 with previous version 0.7-8 dated 2015-11-09

Title: Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach
Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

Diff between JMbayes versions 0.7-8 dated 2015-11-09 and 0.7-9 dated 2016-03-25

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Package JM updated to version 1.4-4 with previous version 1.4-2 dated 2015-11-09

Title: Joint Modeling of Longitudinal and Survival Data
Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

Diff between JM versions 1.4-2 dated 2015-11-09 and 1.4-4 dated 2016-03-25

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Package effects updated to version 3.1-0 with previous version 3.0-7 dated 2016-02-20

Title: Effect Displays for Linear, Generalized Linear, and Other Models
Description: Graphical and tabular effect displays, e.g., of interactions, for various statistical models with linear predictors.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Michael Friendly [aut], Jangman Hong [aut], Robert Andersen [ctb], David Firth [ctb], Steve Taylor [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package choroplethr updated to version 3.5.1 with previous version 3.5.0 dated 2016-02-28

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. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from Google Maps. Please see the vignettes for more details.
Author: Ari Lamstein <arilamstein@gmail.com>[cre, aut], Brian P Johnson <brian@pjohnson.info> [ctb, frontend animation code]
Maintainer: Ari Lamstein <arilamstein@gmail.com>

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Package censorcopula updated to version 2.0 with previous version 1.0 dated 2016-03-13

Title: Estimate Parameter of Bivariate Copula
Description: Implement an interval censor method to break ties when using data with ties to fitting a bivariate copula.
Author: Yan Li, Yang Li, Yichen Qin, and Jun yan
Maintainer: Yan Li <YanLi_stats@hotmail.com>

Diff between censorcopula versions 1.0 dated 2016-03-13 and 2.0 dated 2016-03-25

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Package car updated to version 2.1-2 with previous version 2.1-1 dated 2015-12-14

Title: Companion to Applied Regression
Description: Functions and Datasets to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Second Edition, Sage, 2011.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Daniel Adler [ctb], Douglas Bates [ctb], Gabriel Baud-Bovy [ctb], Steve Ellison [ctb], David Firth [ctb], Michael Friendly [ctb], Gregor Gorjanc [ctb], Spencer Graves [ctb], Richard Heiberger [ctb], Rafael Laboissiere [ctb], Georges Monette [ctb], Duncan Murdoch [ctb], Henric Nilsson [ctb], Derek Ogle [ctb], Brian Ripley [ctb], William Venables [ctb], David Winsemius [ctb], Achim Zeileis [ctb], R-Core [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package tsna updated to version 0.2.0 with previous version 0.1.3 dated 2015-10-01

Title: Tools for Temporal Social Network Analysis
Description: Temporal SNA tools for continuous- and discrete-time longitudinal networks having vertex, edge, and attribute dynamics stored in the 'networkDynamic' format. This work was supported by grant R01HD68395 from the National Institute of Health.
Author: Skye Bender-deMoll [aut, cre], Martina Morris [aut], James Moody [ctb]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

Diff between tsna versions 0.1.3 dated 2015-10-01 and 0.2.0 dated 2016-03-25

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New package nima with initial version 0.3.0
Package: nima
Title: Nima Hejazi's Miscellaneous R Code
Version: 0.3.0
Authors@R: person("Nima", "Hejazi", email = "nhejazi@berkeley.edu", role = c("aut", "cre"))
Description: Miscellaneous R functions developed over the course of statistical research. These include utilities that supplement the existing idiosyncrasies of R; extend plotting functionality and aesthetics; provide alternative presentations of matrix decompositions; extend types of random variables supported for simulation; extend access to command line tools and system information, making work on remote systems easier.
Depends: R (>= 3.2.3)
Imports: plyr, utils, stats, survival, gridExtra, assertthat, ggplot2, grid
Suggests: devtools, roxygen2, testthat
License: MIT + file LICENSE
URL: https://github.com/nhejazi/nima
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-22 23:47:33 UTC; nimahejazi
Author: Nima Hejazi [aut, cre]
Maintainer: Nima Hejazi <nhejazi@berkeley.edu>
Repository: CRAN
Date/Publication: 2016-03-25 09:14:05

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Package ergm updated to version 3.6.0 with previous version 3.5.1 dated 2015-10-24

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGM). "ergm" is a part of the "statnet" suite of packages for network analysis.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre], Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>

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 ergm-3.6.0/ergm/MD5                               |  109 +++++-----
 ergm-3.6.0/ergm/NAMESPACE                         |   33 +--
 ergm-3.6.0/ergm/R/InitErgmTerm.R                  |   66 ++++--
 ergm-3.6.0/ergm/R/InitErgmTerm.dgw_sp.R           |only
 ergm-3.6.0/ergm/R/InitWtErgmTerm.R                |  179 +++++++++++++++-
 ergm-3.6.0/ergm/R/MHproposal.R                    |   28 +-
 ergm-3.6.0/ergm/R/approx.hotelling.diff.test.R    |   13 -
 ergm-3.6.0/ergm/R/build_term_index.R              |    4 
 ergm-3.6.0/ergm/R/coef.ergm.R                     |    5 
 ergm-3.6.0/ergm/R/control.ergm.R                  |    6 
 ergm-3.6.0/ergm/R/ergm.CD.fixed.R                 |   22 +-
 ergm-3.6.0/ergm/R/ergm.MCMLE.R                    |   14 -
 ergm-3.6.0/ergm/R/ergm.R                          |    3 
 ergm-3.6.0/ergm/R/ergm.bridge.R                   |    4 
 ergm-3.6.0/ergm/R/ergm.estimate.R                 |    6 
 ergm-3.6.0/ergm/R/ergm.getCDsample.R              |    2 
 ergm-3.6.0/ergm/R/ergm.getMCMCsample.R            |    4 
 ergm-3.6.0/ergm/R/ergm.getmodel.R                 |  100 +++------
 ergm-3.6.0/ergm/R/ergm.logitreg.R                 |    5 
 ergm-3.6.0/ergm/R/ergm.pen.glm.R                  |    8 
 ergm-3.6.0/ergm/R/ergm.robmon.R                   |    2 
 ergm-3.6.0/ergm/R/ergm.stepping.R                 |   97 ++++++---
 ergm-3.6.0/ergm/R/ergm.stocapprox.R               |    2 
 ergm-3.6.0/ergm/R/ergm.utility.R                  |   23 ++
 ergm-3.6.0/ergm/R/gof.ergm.R                      |   28 +-
 ergm-3.6.0/ergm/R/is.inCH.R                       |   68 +++---
 ergm-3.6.0/ergm/R/mcmc.diagnostics.ergm.R         |   10 
 ergm-3.6.0/ergm/R/parallel.utils.R                |    5 
 ergm-3.6.0/ergm/R/robust.inverse.R                |    1 
 ergm-3.6.0/ergm/R/simulate.ergm.R                 |   28 ++
 ergm-3.6.0/ergm/R/summary.ergm.R                  |    6 
 ergm-3.6.0/ergm/R/zzz.R                           |    5 
 ergm-3.6.0/ergm/build/vignette.rds                |binary
 ergm-3.6.0/ergm/inst/NEWS.Rd                      |  115 ++++++++--
 ergm-3.6.0/ergm/inst/doc/ergm.pdf                 |binary
 ergm-3.6.0/ergm/man/control.ergm.Rd               |   24 +-
 ergm-3.6.0/ergm/man/ergm-terms.Rd                 |  234 ++++++++--------------
 ergm-3.6.0/ergm/man/ergm_deprecated.Rd            |    2 
 ergm-3.6.0/ergm/man/gof.ergm.Rd                   |    5 
 ergm-3.6.0/ergm/man/is.inCH.Rd                    |   12 -
 ergm-3.6.0/ergm/man/samplk.Rd                     |   27 +-
 ergm-3.6.0/ergm/man/sampson.Rd                    |    6 
 ergm-3.6.0/ergm/man/summary.ergm.Rd               |    4 
 ergm-3.6.0/ergm/src/changestats.c                 |   22 ++
 ergm-3.6.0/ergm/src/changestats.dgw_sp.c          |only
 ergm-3.6.0/ergm/src/changestats.dgw_sp.h          |only
 ergm-3.6.0/ergm/src/wtchangestats.c               |   78 +++++++
 ergm-3.6.0/ergm/tests/Rplots.pdf                  |only
 ergm-3.6.0/ergm/tests/gw_sp_tests.R               |only
 ergm-3.6.0/ergm/tests/requireNamespaceTest.R      |only
 ergm-3.6.0/ergm/tests/termTests.bipartite.R       |   27 ++
 ergm-3.6.0/ergm/tests/termTests.valued.R          |only
 ergm-3.6.0/ergm/vignettes/ergm-term-crossRef.html |only
 61 files changed, 965 insertions(+), 499 deletions(-)

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New package DataClean with initial version 1.0
Package: DataClean
Type: Package
Title: Data Cleaning
Version: 1.0
Date: 2016-03-20
Author: Xiaorui(Jeremy) Zhu
Maintainer: Xiaorui(Jeremy) Zhu <zhuxiaorui1989@gmail.com>
Depends: R (>= 3.1.0)
Imports: xlsx, XML
Description: Includes functions that researchers or practitioners may use to clean raw data, transferring html, xlsx, txt data file into other formats. And it also can be used to manipulate text variables, extract numeric variables from text variables and other variable cleaning processes. It is originated from a author's project which focuses on creative performance in online education environment. The resulting paper of that study will be published soon.
License: GPL-3
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-22 20:01:18 UTC; JeremyZhu
Repository: CRAN
Date/Publication: 2016-03-25 09:10:37

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Package BANOVA updated to version 0.4 with previous version 0.2 dated 2014-06-29

Title: Hierarchical Bayesian ANOVA Models
Description: It covers several Bayesian Analysis of Variance (BANOVA) models used in analysis of experimental designs in which both within- and between- subjects factors are manipulated. They can be applied to data that are common in the behavioral sciences and related fields. The package includes: Hierarchical Bayes ANOVA models with normal response, t response, Binomial(Bernoulli) response, Poisson response, ordered multinomial response and multinomial response variables. All models accommodate unobserved heterogeneity by including a normal distribution of the parameters across individuals. Outputs of the package include tables of sums of squares, effect sizes and p-values, and tables of means, which are easily interpretable for behavioral researchers. BANOVA uses JAGS as the computational platform.
Author: Chen Dong, Michel Wedel
Maintainer: Chen Dong <cdong@math.umd.edu>

Diff between BANOVA versions 0.2 dated 2014-06-29 and 0.4 dated 2016-03-25

 DESCRIPTION                             |   15 +-
 MD5                                     |  122 +++++++++----------
 NAMESPACE                               |   67 +++++-----
 R/BANOVA.Bern.R                         |    4 
 R/BANOVA.BernNormal.R                   |  123 ++++++++++---------
 R/BANOVA.Bin.R                          |    4 
 R/BANOVA.BinNormal.R                    |  133 +++++++++++----------
 R/BANOVA.MultiNormal.R                  |  157 +++++++++++++-----------
 R/BANOVA.Multinomial.R                  |    4 
 R/BANOVA.Normal.R                       |    4 
 R/BANOVA.NormalNormal.R                 |  114 +++++++++---------
 R/BANOVA.PNormal.R                      |  123 ++++++++++---------
 R/BANOVA.Poisson.R                      |    4 
 R/BANOVA.T.R                            |    4 
 R/BANOVA.TNormal.R                      |  114 +++++++++---------
 R/BANOVA.ordMultiNormal.R               |  153 +++++++++++++-----------
 R/BANOVA.ordMultinomial.R               |    4 
 R/JAGSgen.PNormal.R                     |  175 ++++++++++++++++-----------
 R/JAGSgen.TNormal.R                     |  173 ++++++++++++++++-----------
 R/JAGSgen.bernNormal.R                  |  164 +++++++++++++++----------
 R/JAGSgen.binNormal.R                   |  165 +++++++++++++++-----------
 R/JAGSgen.multiNormal.R                 |  171 ++++++++++++++++-----------
 R/JAGSgen.normalNormal.R                |  169 +++++++++++++++-----------
 R/JAGSgen.ordmultiNormal.R              |  202 ++++++++++++++++++--------------
 R/conv.geweke.heidel.R                  |   55 ++++----
 R/print.conv.diag.R                     |   23 ++-
 R/print.summary.BANOVA.Bern.R           |   33 ++---
 R/print.summary.BANOVA.Bin.R            |   33 ++---
 R/print.summary.BANOVA.Multinomial.R    |   33 ++---
 R/print.summary.BANOVA.Normal.R         |   33 ++---
 R/print.summary.BANOVA.Poisson.R        |   33 ++---
 R/print.summary.BANOVA.T.R              |   33 ++---
 R/print.summary.BANOVA.ordMultinomial.R |   33 ++---
 R/ssquares.R                            |   68 +++++-----
 R/summary.BANOVA.Bern.R                 |   16 +-
 R/summary.BANOVA.Bin.R                  |   16 +-
 R/summary.BANOVA.Multinomial.R          |   16 +-
 R/summary.BANOVA.Normal.R               |   16 +-
 R/summary.BANOVA.Poisson.R              |   16 +-
 R/summary.BANOVA.T.R                    |   16 +-
 R/summary.BANOVA.ordMultinomial.R       |   16 +-
 R/table.ANCOVA.R                        |   66 +++++-----
 man/BANOVA-package.Rd                   |   12 +
 man/BANOVA.Bern.Rd                      |  164 +++++++++++++------------
 man/BANOVA.Bin.Rd                       |  175 ++++++++++++++-------------
 man/BANOVA.Multinomial.Rd               |  194 +++++++++++++++---------------
 man/BANOVA.Normal.Rd                    |  169 ++++++++++++++------------
 man/BANOVA.Poisson.Rd                   |  174 ++++++++++++++-------------
 man/BANOVA.T.Rd                         |  157 +++++++++++++-----------
 man/BANOVA.ordMultinomial.Rd            |  176 ++++++++++++++-------------
 man/BAnova.Rd                           |   96 +++++++--------
 man/bernlogtime.Rd                      |   86 ++++++-------
 man/bpndata.Rd                          |  104 ++++++++--------
 man/choicedata.Rd                       |    2 
 man/colorad.Rd                          |   84 ++++++-------
 man/colorad2.Rd                         |   90 +++++++-------
 man/conv.diag.Rd                        |  108 ++++++++---------
 man/goalstudy.Rd                        |  102 ++++++++--------
 man/ipadstudy.Rd                        |   98 +++++++--------
 man/table.means.Rd                      |   48 +++----
 man/table.pvalues.Rd                    |   86 ++++++-------
 man/trace.plot.Rd                       |   50 +++----
 62 files changed, 2746 insertions(+), 2352 deletions(-)

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