Fri, 05 Jun 2015

New package TOC with initial version 0.0-2
Package: TOC
Type: Package
Title: Total Operating Characteristic Curve and ROC Curve
Version: 0.0-2
Date: 2015-06-05
Author: Robert G. Pontius , Alí Santacruz, Amin Tayyebi, Benoit Parmentier, Kangping Si
Maintainer: Alí Santacruz
Depends: R (>= 2.14.0), raster, bit, rgdal, methods
Description: Construction of the Total Operating Characteristic (TOC) Curve and the Receiver (aka Relative) Operating Characteristic (ROC) Curve for spatial and non-spatial data. The TOC method is a modification of the ROC method which measures the ability of an index variable to diagnose either presence or absence of a characteristic. The diagnosis depends on whether the value of an index variable is above a threshold. Each threshold generates a two-by-two contingency table, which contains four entries: hits (H), misses (M), false alarms (FA), and correct rejections (CR). While ROC shows for each threshold only two ratios, H/(H + M) and FA/(FA + CR), TOC reveals the size of every entry in the contingency table for each threshold (Pontius Jr., R.G., Si, K. 2014. The total operating characteristic to measure diagnostic ability for multiple thresholds. Int. J. Geogr. Inf. Sci. 28 (3), 570-583).
License: GPL (>= 2)
Encoding: latin1
Packaged: 2015-06-05 19:25:51 UTC; Alí
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-06-06 01:47:31

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Package switchr updated to version 0.9.4 with previous version 0.9.3 dated 2015-06-03

Title: Installing, Managing, and Switching Between Distinct Sets of Installed Packages
Description: Provides an abstraction for managing, installing, and switching between sets of installed R packages. This allows users to maintain multiple package libraries simultaneously, e.g. to maintain strict, package-version-specific reproducibility of many analyses, or work within a devel/release paradigm. Introduces a generalized package installation process which supports multiple repository and non-repository sources and tracks package provenance.
Author: Gabriel Becker[aut, cre]
Maintainer: Gabriel Becker <becker.gabriel@gene.com>

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Package rversions updated to version 1.0.1 with previous version 1.0.0 dated 2015-04-22

Title: Query 'R' Versions, Including 'r-release' and 'r-oldrel'
Description: Query the main 'R' 'SVN' repository to find the versions 'r-release' and 'r-oldrel' refer to, and also all previous 'R' versions and their release dates.
Author: Gabor Csardi [aut, cre], Jeroen Ooms [ctb]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package MIIVsem updated to version 0.2 with previous version 0.1 dated 2015-04-10

Title: Two Stage Least Squares with Model Implied Instrumental Search
Description: Functions for estimating structural equation models using a model-implied instrumental variable (MIIV) search and two stage least squares (2SLS) estimator (MIIV-2SLS).
Author: Zachary Fisher and Ken Bollen.
Maintainer: Zachary Fisher <fish.zachary@gmail.com>

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Package ggvis updated to version 0.4.2 with previous version 0.4.1 dated 2015-03-12

Title: Interactive Grammar of Graphics
Description: An implementation of an interactive grammar of graphics, taking the best parts of 'ggplot2', combining them with the reactive framework from 'shiny' and web graphics from 'vega'.
Author: Winston Chang [aut, cre], Hadley Wickham [aut], RStudio [cph], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/www/lib/jquery/AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/www/lib/jquery-ui/AUTHORS.txt), Mike Bostock [ctb, cph] (D3 library), D3 contributors [ctb] (D3 library; authors listed at https://github.com/mbostock/d3/graphs/contributors), Trifacta Inc. [cph] (Vega library), Vega contributors [ctb] (Vega library; authors listed at https://github.com/trifacta/vega/graphs/contributors), Sebasti<c3><a1>n D<c3><a9>cima [ctb, cph] (javascript-detect-element-resize library)
Maintainer: Winston Chang <winston@rstudio.com>

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Package fbroc updated to version 0.2.0 with previous version 0.1.0 dated 2015-05-05

Title: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves
Description: Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) as well as the true and false positive rate. You can also plot the results and calculate confidence intervals. Currently the calculation of 100000 bootstrap replicates for 500 observations takes about one second.
Author: Erik Peter [aut, cre]
Maintainer: Erik Peter <jerikpeter@googlemail.com>

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Package TAM updated to version 1.7-1 with previous version 1.6-0 dated 2015-04-03

Title: Test Analysis Modules
Description: Includes marginal and joint maximum likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent Class Models). Latent regression models and plausible value imputation are also supported.
Author: Thomas Kiefer [aut], Alexander Robitzsch [aut, cre], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <a.robitzsch@bifie.at>

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New package SOPIE with initial version 1.4
Package: SOPIE
Type: Package
Title: Non-Parametric Estimation of the Off-Pulse Interval of a Pulsar
Version: 1.4
Date: 2015-06-01
Author: Willem Daniel Schutte
Maintainer: Willem Daniel Schutte <wd.schutte@nwu.ac.za>
Depends: R (>= 3.2.0) , circular
Description: Provides functions to non-parametrically estimate the off-pulse interval of a source function originating from a pulsar. The technique is based on a sequential application of P-values obtained from goodness-of-fit tests for the uniform distribution, such as the Kolmogorov-Smirnov, Cramer-von Mises, Anderson-Darling and Rayleigh goodness-of-fit tests.
License: GPL-3
NeedsCompilation: no
Packaged: 2015-06-05 16:01:00 UTC; NWUUser
Repository: CRAN
Date/Publication: 2015-06-05 22:26:07

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New package seismic with initial version 1.0
Package: seismic
Type: Package
Title: Predict Information Cascade by Self-Exciting Point Process
Version: 1.0
Date: 2015-06-01
Author: Hera He, Murat Erdogdu, Qingyuan Zhao
Maintainer: Qingyuan Zhao <qingyzhao@gmail.com>
Description: An implementation of self-exciting point process model for information cascades, which occurs when many people engage in the same acts after observing the actions of others (e.g. post resharings on Facebook or Twitter). It provides functions to estimate the infectiousness of an information cascade and predict its popularity given the observed history. See http://snap.stanford.edu/seismic/ for more information and datasets.
URL: http://snap.stanford.edu/seismic/
License: GPL-3
Packaged: 2015-06-05 16:53:09 UTC; qyzhao
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-06-05 22:23:38

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Package RcppArmadillo updated to version 0.5.200.1.0 with previous version 0.5.100.1.0 dated 2015-05-01

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. 'Armadillo' is licensed under the MPL 2.0, while 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Romain Francois, Dirk Eddelbuettel and Doug Bates
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.5.100.1.0 dated 2015-05-01 and 0.5.200.1.0 dated 2015-06-05

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Package spatstat updated to version 1.42-1 with previous version 1.42-0 dated 2015-06-01

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive toolbox for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, and point patterns on a linear network. Contains about 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Diggle-Cressie-Loosmore-Ford, Dao-Genton) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov) are also supported. Parametric models can be fitted to point pattern data using the functions ppm, kppm, slrm similar to glm. Types of models include Poisson, Gibbs, Cox and cluster point processes. Models may involve dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise, AIC). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley <Adrian.Baddeley@uwa.edu.au>, Rolf Turner <r.turner@auckland.ac.nz> and Ege Rubak <rubak@math.aau.dk>, with substantial contributions of code by Kasper Klitgaard Berthelsen; Abdollah Jalilian; Marie-Colette van Lieshout; Tuomas Rajala; Dominic Schuhmacher; and Rasmus Waagepetersen. Additional contributions by Q.W. Ang; S. Azaele; M. Baddeley; C. Beale; M. Bell; R. Bernhardt; T. Bendtsen; A. Bevan; B. Biggerstaff; A. Bilgrau; L. Bischof; R. Bivand; J.M. Blanco Moreno; F. Bonneu; J. Burgos; S. Byers; Y.M. Chang; J.B. Chen; I. Chernayavsky; Y.C. Chin; B. Christensen; J.-F. Coeurjolly; R. Corria Ainslie; M. de la Cruz; P. Dalgaard; S. Das; P.J. Diggle; P. Donnelly; I. Dryden; S. Eglen; A. El-Gabbas; O. Flores; E.D. Ford; P. Forbes; S. Frank; J. Franklin; N. Funwi-Gabga; O. Garcia; A. Gault; M. Genton; S. Ghalandarayeshi; J. Gilbey; J. Goldstick; P. Grabarnik; C. Graf; U. Hahn; A. Hardegen; M.B. Hansen; M. Hazelton; J. Heikkinen; M. Hering; M. Herrmann; K. Hornik; P. Hunziker; J. Hywood; R. Ihaka; A. Jammalamadaka; R. John-Chandran; D. Johnson; M. Khanmohammadi; P. Kovesi; M. Kuhn; J. Laake; F. Lavancier; T. Lawrence; R.A. Lamb; J. Lee; G.P. Leser; H.T. Li; G. Limitsios; A. Lister; B. Madin; J. Marcus; K. Marchikanti; R. Mark; J. Mateu; P. McCullagh; U. Mehlig; S. Meyer; X.C. Mi; L. De Middeleer; R.K. Milne; E. Miranda; J. Moller; E. Mudrak; G.M. Nair; N. Nava; L.S. Nielsen; F. Nunes; J.R. Nyengaard; J. Oehlschlaegel; T. Onkelinx; S. O'Riordan; E. Parilov; J. Picka; N. Picard; M. Porter; S. Protsiv; A. Raftery; S. Rakshit; P. Ramon; X. Raynaud, M. Reiter; I. Renner; T.O. Richardson; B.D. Ripley; E. Rosenbaum; B. Rowlingson; J. Rudokas; J. Rudge; C. Ryan; F. Safavimanesh; A. Sarkka; C. Schank; K. Schladitz; S. Schutte; B.T. Scott; O. Semboli; G.C. Shen; V. Shcherbakov; I.-M. Sintorn; Y. Song; M. Spiess; M. Stevenson; K. Stucki; M. Sumner; P. Surovy; B. Taylor; T. Thorarinsdottir; B. Turlach; T. Tvedebrink; K. Ummer; M. Uppala; A. van Burgel; T. Verbeke; M. Vihtakari; A. Villers; F. Vinatier; S. Voss; H. Wang; H. Wendrock; J. Wild; C. Witthoft; S. Wong; M. Woringer; M.E. Zamboni and A. Zeileis.
Maintainer: Adrian Baddeley <Adrian.Baddeley@uwa.edu.au>

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Package mnlogit updated to version 1.2.2 with previous version 1.2.1 dated 2015-05-13

Title: Multinomial Logit Model
Description: Time and memory efficient estimation of multinomial logit models using maximum likelihood method. Numerical optimization performed by Newton-Raphson method using an optimized, parallel C++ library to achieve fast computation of Hessian matrices. Motivated by large scale multiclass classification problems in econometrics and machine learning.
Author: Asad Hasan, Wang Zhiyu, Alireza S. Mahani
Maintainer: Asad Hasan <asad.hasan@sentrana.com>

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Package sirt updated to version 1.7-0 with previous version 1.6-0 dated 2015-05-20

Title: Supplementary Item Response Theory Models
Description: Supplementary item response theory models to complement existing functions in R, including multidimensional compensatory and noncompensatory IRT models, MCMC for hierarchical IRT models and testlet models, NOHARM, faceted and hierarchical rater models, ordinal IRT model (ISOP), discrete grade of membership model, latent regression models, DETECT statistic, local structural equation modeling (LSEM).
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <a.robitzsch@bifie.at>

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Package pcnetmeta updated to version 2.2.1 with previous version 2.2 dated 2015-05-13

Title: Patient-Centered Network Meta-Analysis
Description: Provides functions to perform arm-based network meta-analysis for datasets with binary, continuous, and count outcomes.
Author: Lifeng Lin, Jing Zhang, and Haitao Chu
Maintainer: Lifeng Lin <linl@umn.edu>

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Package gstat updated to version 1.0-23 with previous version 1.0-22 dated 2015-03-14

Title: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description: Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions.
Author: Edzer Pebesma [aut, cre], Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package ffbase updated to version 0.12.1 with previous version 0.12.0 dated 2015-05-25

Title: Basic Statistical Functions for Package 'ff'
Description: Extends the out of memory vectors of 'ff' with statistical functions and other utilities to ease their usage.
Author: Edwin de Jonge, Jan Wijffels, Jan van der Laan
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

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Package CDM updated to version 4.3-0 with previous version 4.2-12 dated 2015-02-23

Title: Cognitive Diagnosis Modeling
Description: Functions for cognitive diagnosis modeling and multidimensional item response modeling for dichotomous and polytomous data. This package enables the estimation of the DINA and DINO model, the multiple group (polytomous) GDINA model, the multiple choice DINA model, the general diagnostic model (GDM), the multidimensional linear compensatory item response model and the structured latent class model (SLCA).
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Ann Cathrice George [aut], Ali Uenlue [aut]
Maintainer: Alexander Robitzsch <a.robitzsch@bifie.at>

Diff between CDM versions 4.2-12 dated 2015-02-23 and 4.3-0 dated 2015-06-05

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 CDM-4.3-0/CDM/DESCRIPTION             |   10 +++---
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 CDM-4.3-0/CDM/NAMESPACE               |    2 -
 CDM-4.3-0/CDM/R/IRT.jackknife.gdina.R |    2 +
 CDM-4.3-0/CDM/R/gdina.R               |   25 ++++++++++------
 CDM-4.3-0/CDM/R/summary.gdina.R       |    9 ++++--
 CDM-4.3-0/CDM/inst/NEWS               |   12 +++++++-
 CDM-4.3-0/CDM/man/CDM-package.Rd      |   51 ++++++++++++++++------------------
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 CDM-4.3-0/CDM/man/entropy.lca.Rd      |    6 ++--
 CDM-4.3-0/CDM/man/mcdina.Rd           |    4 +-
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Package sn updated to version 1.2-2 with previous version 1.2-1 dated 2015-04-29

Title: The Skew-Normal and Skew-t Distributions
Description: Define and manipulate probability distributions of the skew-normal family and some related ones, notably the skew-t family, and provide related statistical methods for data fitting and diagnostics, in the univariate and the multivariate case.
Author: Adelchi Azzalini <adelchi.azzalini@unipd.it>
Maintainer: Adelchi Azzalini <adelchi.azzalini@unipd.it>

Diff between sn versions 1.2-1 dated 2015-04-29 and 1.2-2 dated 2015-06-05

 DESCRIPTION            |    8 ++++----
 MD5                    |   16 ++++++++--------
 NEWS                   |   15 ++++++++++-----
 R/sn-funct.R           |   43 ++++++++++++++++++++++++++++---------------
 man/Qpenalty.Rd        |    4 ++--
 man/barolo.Rd          |   10 ++++------
 man/extractSECdistr.Rd |    2 +-
 man/selm.Rd            |   18 ++++++++++--------
 man/selm.fit.Rd        |   15 ++++++++++-----
 9 files changed, 77 insertions(+), 54 deletions(-)

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Package sp updated to version 1.1-1 with previous version 1.1-0 dated 2015-04-24

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Josh O'Brien [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sp versions 1.1-0 dated 2015-04-24 and 1.1-1 dated 2015-06-05

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 MD5                                |   54 ++++++++++++------------
 NAMESPACE                          |    8 +++
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 R/bubble.R                         |    5 +-
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 R/spdists.R                        |   58 ++++++++++++++++++++------
 R/spplot.R                         |   67 +++++++++++++++---------------
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 28 files changed, 445 insertions(+), 134 deletions(-)

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New package cpm with initial version 2.0
Package: cpm
Title: Sequential and Batch Change Detection Using Parametric and Nonparametric Methods
Version: 2.0
Date: 2015-06-01
Depends: R (>= 2.15.0), methods
Author: Gordon J. Ross
Maintainer: Gordon J. Ross <gordon@gordonjross.co.uk>
Description: Sequential and batch change detection for univariate data streams, using the change point model framework. Functions are provided to allow the parametric monitoring of sequences of Gaussian, Bernoulli and Exponential random variables, along with functions implementing more general nonparametric methods for monitoring sequences which have an unspecified or unknown distribution.
License: GPL-3
NeedsCompilation: yes
Packaged: 2015-06-04 19:32:18 UTC; gordonross
X-CRAN-Comment: Archived on 2014-05-31 as memory access errors were not corrected.
Repository: CRAN
Date/Publication: 2015-06-05 13:09:25

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Package VineCopula updated to version 1.5 with previous version 1.4 dated 2015-01-28

Title: Statistical Inference of Vine Copulas
Description: Tools for bivariate exploratory data analysis, bivariate copula selection and (vine) tree construction are provided. Vine copula models can be estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods are included. Data is assumed to lie in the unit hypercube (so-called copula data). For C- and D-vines links to the package 'CDVine' are provided.
Author: Ulf Schepsmeier, Jakob Stoeber, Eike Christian Brechmann, Benedikt Graeler, Thomas Nagler, Tobias Erhardt
Maintainer: Tobias Erhardt <tobias.erhardt@tum.de>

Diff between VineCopula versions 1.4 dated 2015-01-28 and 1.5 dated 2015-06-05

 DESCRIPTION                            |   14 
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 NAMESPACE                              |   11 
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 src/logderiv.c                         |   22 
 src/pit.c                              |   29 
 src/rvinederiv.c                       |   73 -
 tests/Examples/VineCopula-Ex.Rout.save |  966 ++++++++++++++---
 tests/additonalExampleRuns.Rout.save   |    4 
 106 files changed, 11910 insertions(+), 9033 deletions(-)

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Package robustlmm updated to version 1.7-2 with previous version 1.6 dated 2014-07-11

Title: Robust Linear Mixed Effects Models
Description: Robust mixed effects modeling by robustification of scoring equations using the Design Adaptive Scale approach.
Author: Manuel Koller
Maintainer: Manuel Koller <koller.manuel@gmail.com>

Diff between robustlmm versions 1.6 dated 2014-07-11 and 1.7-2 dated 2015-06-05

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 robustlmm-1.7-2/robustlmm/NAMESPACE                                                    |    7 
 robustlmm-1.7-2/robustlmm/R/AllClass.R                                                 |    4 
 robustlmm-1.7-2/robustlmm/R/DAS-scale.R                                                |   59 --
 robustlmm-1.7-2/robustlmm/R/accessors.R                                                |   16 
 robustlmm-1.7-2/robustlmm/R/fit.effects.R                                              |    2 
 robustlmm-1.7-2/robustlmm/R/fromLme4.R                                                 |   10 
 robustlmm-1.7-2/robustlmm/R/helpers.R                                                  |    4 
 robustlmm-1.7-2/robustlmm/R/mutators.R                                                 |   11 
 robustlmm-1.7-2/robustlmm/R/rlmer.R                                                    |    2 
 robustlmm-1.7-2/robustlmm/inst/doc/rlmer.R                                             |  237 --------
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 robustlmm-1.7-2/robustlmm/tests/tau.R                                                  |    9 
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New package Rcell with initial version 1.3-2
Package: Rcell
Type: Package
Version: 1.3-2
Date: 2015-06-04
Title: Microscopy Based Cytometry Data Analysis Package
Author: Alan Bush <abush@fbmc.fcen.uba.ar>
Maintainer: Alan Bush <abush@fbmc.fcen.uba.ar>
Depends: R (>= 2.15.0), proto, plyr (>= 1.8), reshape, ggplot2 (>= 0.9.3), grid
Imports: stats, digest
Suggests: Hmisc, EBImage (>= 4.0.0), RcellData (>= 1.3.0)
Description: Analyze microscopy based cytometry datasets created with 'Cell-ID'. It includes functions for manipulating and plotting the data. It can also create automatic image montages of cells in a user defined layout.
License: GPL-2
Encoding: latin1
URL: http://www.embnet.qb.fcen.uba.ar, http://sourceforge.net/projects/cell-id
LazyData: no
NeedsCompilation: no
Packaged: 2015-06-04 22:22:34 UTC; Usuario
Repository: CRAN
Date/Publication: 2015-06-05 11:26:24

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Package provenance updated to version 0.2 with previous version 0.1 dated 2015-05-26

Title: Statistical Toolbox for Sedimentary Provenance Analysis
Description: Bundles a number of established statistical methods to facilitate the visual interpretation of large datasets in sedimentary geology. Includes functionality for adaptive kernel density estimation, multidimensional scaling, generalised procrustes analysis and individual differences scaling using a variety of dissimilarity measures. Univariate provenance proxies, such as single-grain ages or (isotopic) compositions are compared with the Kolmogorov-Smirnov dissimilarity and Sircombe-Hazelton L2-norm. Categorical provenance proxies, such as mineralogical, petrographic or chemical compositions are compared with the Aitchison and Bray-Curtis distances.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

Diff between provenance versions 0.1 dated 2015-05-26 and 0.2 dated 2015-06-05

 DESCRIPTION    |    6 ++---
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Package lmSupport updated to version 2.9.2 with previous version 2.9.1 dated 2014-09-26

Title: Support for Linear Models
Description: Accompanies Markus Brauer, Bas Rokers, and John Curtin's two-course graduate series in General, Generalized, and Multi-level Linear Models (PSY 610/710).
Author: John Curtin <jjcurtin@wisc.edu>
Maintainer: John Curtin <jjcurtin@wisc.edu>

Diff between lmSupport versions 2.9.1 dated 2014-09-26 and 2.9.2 dated 2015-06-05

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Package enviPat updated to version 2.0 with previous version 1.9 dated 2014-07-14

Title: Isotope Pattern, Profile and Centroid Calculation for Mass Spectrometry
Description: Fast and very memory-efficient calculation of isotope patterns, subsequent convolution to theoretical envelopes (profiles) plus valley detection and centroidization or intensoid calculation. Batch processing, resolution interpolation, wrapper, adduct calculations and molecular formula parsing.
Author: Martin Loos, Christian Gerber
Maintainer: Martin Loos <martin.loos@alumni.ethz.ch>

Diff between enviPat versions 1.9 dated 2014-07-14 and 2.0 dated 2015-06-05

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 enviPat-2.0/enviPat/src/parse.c              |  372 ++
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 enviPat-2.0/enviPat/src/preferences.h        |  126 
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Package crayon updated to version 1.3.0 with previous version 1.2.1 dated 2015-05-17

Title: Colored Terminal Output
Description: Colored terminal output on terminals that support ANSI color and highlight codes. ANSI color support is automatically detected. Colors and highlighting can be combined and nested. New styles can also be created easily. This package was inspired by the chalk JavaScript project.
Author: Gabor Csardi [aut, cre]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between crayon versions 1.2.1 dated 2015-05-17 and 1.3.0 dated 2015-06-05

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More information about crayon at CRAN
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