Fri, 12 Feb 2016

Package yhatr updated to version 0.13.10 with previous version 0.13.9 dated 2016-02-11

Title: R Binder for the Yhat API
Description: Deploy, maintain, and invoke models via the Yhat REST API.
Author: Greg Lamp <greg@yhathq.com>, Brandon Hopkins <dev@yhathq.com>
Maintainer: Greg Lamp <greg@yhathq.com>

Diff between yhatr versions 0.13.9 dated 2016-02-11 and 0.13.10 dated 2016-02-12

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New package tadaatoolbox with initial version 0.8.0
Package: tadaatoolbox
Type: Package
Date: 2016-02-12
Title: Helpers for Data Analysis and Presentation Focused on Undergrad Psychology
Version: 0.8.0
Authors@R: c(person('Lukas', 'Burk', email = 'lukas@quantenbrot.de', role = c('aut', 'cre')), person('Tobias', 'Anton', email = 'unsichtbarer@quantenbrot.de', role = c('aut')))
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 'pixiedist' for the creation of 'RMarkdown' reports.
License: MIT + file LICENSE
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 3.1.0)
Suggests: testthat
Imports: stats, broom, dplyr, pwr, pixiedust, car, ggplot2, lazyeval, sjmisc, haven, ryouready, vcd
RoxygenNote: 5.0.1
URL: https://github.com/tadaadata/tadaatoolbox
BugReports: https://github.com/tadaadata/tadaatoolbox/issues
NeedsCompilation: no
Packaged: 2016-02-12 23:50:25 UTC; Lukas
Author: Lukas Burk [aut, cre], Tobias Anton [aut]
Maintainer: Lukas Burk <lukas@quantenbrot.de>
Repository: CRAN
Date/Publication: 2016-02-13 01:01:49

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Package quantreg updated to version 5.21 with previous version 5.19 dated 2015-08-31

Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>

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Package purrr updated to version 0.2.1 with previous version 0.2.0 dated 2016-01-04

Title: Functional Programming Tools
Description: Make your pure functions purr with the 'purrr' package. This package completes R's functional programming tools with missing features present in other programming languages.
Author: Hadley Wickham [aut, cre], Lionel Henry [ctb], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package provenance updated to version 1.3 with previous version 1.2 dated 2016-01-21

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. Also included are tools to plot compositional data on ternary diagrams, to calculate the sample size required for specified levels of statistical precision, and to assess the effects of hydraulic sorting on detrital compositions. Includes an intuitive query-based user interface for users who are not proficient in R.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

Diff between provenance versions 1.2 dated 2016-01-21 and 1.3 dated 2016-02-12

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Package munsell updated to version 0.4.3 with previous version 0.4.2 dated 2013-07-11

Title: Utilities for Using Munsell Colours
Description: Provides easy access to, and manipulation of, the Munsell colours. Provides a mapping between Munsell's original notation (e.g. "5R 5/10") and hexadecimal strings suitable for use directly in R graphics. Also provides utilities to explore slices through the Munsell colour tree, to transform Munsell colours and display colour palettes.
Author: Charlotte Wickham <cwickham@gmail.com>
Maintainer: Charlotte Wickham <cwickham@gmail.com>

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Package multimark updated to version 1.3.2 with previous version 1.3.1 dated 2015-10-21

Title: Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks
Description: Capture-mark-recapture analysis with multiple non-invasive marks. The models implemented in 'multimark' combine encounter history data arising from two different non-invasive ``marks'', such as images of left-sided and right-sided pelage patterns of bilaterally asymmetrical species, to estimate abundance and related demographic parameters while accounting for imperfect detection. Bayesian models are specified using simple formulae and fitted using Markov chain Monte Carlo. Addressing deficiencies in currently available software, 'multimark' also provides a user-friendly interface for performing Bayesian multimodel inference using capture-recapture data consisting of a single conventional mark or multiple non-invasive marks.
Author: Brett T. McClintock [aut, cre], Acho Arnold [ctb, cph] (C original matrix library, https://github.com/najela/matrix.h), Barry Brown [ctb] (Fortran original ranlib library), James Lovato [ctb] (Fortran original ranlib library), John Burkardt [ctb] (C original ranlib library, http://people.sc.fsu.edu/~jburkardt/c_src/ranlib), Cleve Moler [ctb] (C original linpack library, http://www.kkant.net/geist/ranlib/)
Maintainer: Brett T. McClintock <brett.mcclintock@noaa.gov>

Diff between multimark versions 1.3.1 dated 2015-10-21 and 1.3.2 dated 2016-02-12

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Package MSG updated to version 0.3 with previous version 0.2.2 dated 2012-08-19

Title: Data and Functions for the Book Modern Statistical Graphics
Description: A companion to the Chinese book ``Modern Statistical Graphics''.
Author: Yihui Xie
Maintainer: Yihui Xie <xie@yihui.name>

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Package monogeneaGM updated to version 1.1 with previous version 1.0 dated 2015-07-16

Title: Geometric Morphometric Analysis of Monogenean Anchors
Description: Geometric morphometric and evolutionary biology analyses of anchor shape from four-anchored monogeneans.
Author: Tsung Fei Khang
Maintainer: Tsung Fei Khang <tfkhang@um.edu.my>

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Package ggswissmaps updated to version 0.0.8 with previous version 0.0.6 dated 2015-12-21

Title: Offers Various Swiss Maps as ggplot2 Objects
Description: Offers various swiss maps as ggplot2 objects and gives the possibility to add layers of data on the maps. Data are publicly available from the swiss federal statistical office.
Author: Sandro Petrillo Burri [aut, cre], Eric Stephani [aut], Lisa Bottinelli [ctb]
Maintainer: Sandro Petrillo Burri <gibo.gaf@gmail.com>

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Package EnsemblePCReg updated to version 1.0.0 with previous version 0.6 dated 2014-11-27

Title: Extensible Package for Principal-Component-Regression-Based Integration of Base Learners
Description: Extends the base classes and methods of EnsembleBase package for Principal-Components-Regression-based (PCR) integration of base learners. Default implementation uses cross-validation error to choose the optimal number of PC components for the final predictor. The package takes advantage of the file method provided in EnsembleBase package for writing estimation objects to disk in order to circumvent RAM bottleneck. Special save and load methods are provided to allow estimation objects to be saved to permanent files on disk, and to be loaded again into temporary files in a later R session. Users and developers can extend the package by extending the generic methods and classes provided in EnsembleBase package as well as this package.
Author: Mansour T.A. Sharabiani, Alireza S. Mahani
Maintainer: Alireza S. Mahani <alireza.mahani@sentrana.com>

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Package data.tree updated to version 0.3.0 with previous version 0.2.4 dated 2015-10-24

Title: General Purpose Hierarchical Data Structure
Description: Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.
Author: Christoph Glur
Maintainer: Christoph Glur <christoph.glur@ipub.com>

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Permanent link

New package BonEV with initial version 1.0
Package: BonEV
Type: Package
Title: An Improved Multiple Testing Procedure for Controlling False Discovery Rates
Version: 1.0
Date: 2016-02-10
Author: Dongmei Li
Maintainer: Dongmei Li <dongmei_li@urmc.rochester.edu>
Depends: R (>= 3.2.0), qvalue
Description: An improved multiple testing procedure for controlling false discovery rates which is developed based on the Bonferroni procedure with integrated estimates from the Benjamini-Hochberg procedure and the Storey's q-value procedure. It controls false discovery rates through controlling the expected number of false discoveries.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-02-12 15:57:59 UTC; dli3
Repository: CRAN
Date/Publication: 2016-02-13 00:59:51

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Package archivist updated to version 2.0 with previous version 1.8 dated 2015-11-27

Title: Tools for Storing, Restoring and Searching for R Objects
Description: Data exploration and modelling is a process in which a lot of data artifacts are produced. Artifacts like: subsets, data aggregates, plots, statistical models, different versions of data sets and different versions of results. The more projects we work with the more artifacts are produced and the harder it is to manage these artifacts. Archivist helps to store and manage artifacts created in R. Archivist allows you to store selected artifacts as a binary files together with their metadata and relations. Archivist allows to share artifacts with others, either through shared folder or github. Archivist allows to look for already created artifacts by using it's class, name, date of the creation or other properties. Makes it easy to restore such artifacts. Archivist allows to check if new artifact is the exact copy that was produced some time ago. That might be useful either for testing or caching.
Author: Przemyslaw Biecek [aut, cre], Marcin Kosinski [aut], Witold Chodor [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between archivist versions 1.8 dated 2015-11-27 and 2.0 dated 2016-02-12

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New package wrswoR.benchmark with initial version 0.1-1
Encoding: UTF-8
Package: wrswoR.benchmark
Type: Package
Title: Benchmark and Correctness Data for Weighted Random Sampling Without Replacement
Version: 0.1-1
Authors@R: person("Kirill", "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org")
Description: Includes performance measurements and results of repeated experiment runs (for correctness checks) for code in the 'wrswoR' package.
License: GPL-3
URL: http://krlmlr.github.io/wrswoR.benchmark
URLNote: https://github.com/krlmlr/wrswoR.benchmark
BugReports: https://github.com/krlmlr/wrswoR.benchmark/issues
Depends: R (>= 3.0.2)
Imports: lazyeval, curl
Suggests: knitr, rmarkdown, ggplot2, dplyr, tidyr
LazyData: true
RoxygenNote: 5.0.1
Collate: 'aaa-rextdata.R' 'timings.R' 'break_even.R' 'p_values_7.R' 'p_values_agg.R'
NeedsCompilation: no
Packaged: 2016-02-12 13:03:38 UTC; muelleki
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2016-02-12 14:41:11

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New package WaverR with initial version 1.0
Package: WaverR
Type: Package
Title: Data Estimation using Weighted Averages of Multiple Regressions
Version: 1.0
Date: 2015-09-22
Author: Olivia Cheronet, John A. Finarelli
Maintainer: Olivia Cheronet <cheronetolivia@gmail.com>
Description: For multivariate datasets, this function enables the estimation of missing data using the Weighted AVERage of all possible Regressions using the data available.
License: GPL-2
Depends: MASS (>= 7.3-33), kimisc (>= 0.2-1)
NeedsCompilation: no
Packaged: 2016-02-12 10:14:25 UTC; cheronetolivia
Repository: CRAN
Date/Publication: 2016-02-12 14:41:07

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Package TSdist updated to version 3.2 with previous version 3.1 dated 2015-07-14

Title: Distance Measures for Time Series Data
Description: A set of commonly used distance measures and some additional functions which, although initially not designed for this purpose, can be used to measure the dissimilarity between time series. These measures can be used to perform clustering, classification or other data mining tasks which require the definition of a distance measure between time series.
Author: Usue Mori, Alexander Mendiburu, J.A. Lozano
Maintainer: Usue Mori <usue.mori@ehu.es>

Diff between TSdist versions 3.1 dated 2015-07-14 and 3.2 dated 2016-02-12

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Package Directional updated to version 1.7.5 with previous version 1.7 dated 2016-01-27

Title: Directional Statistics
Description: A collection of R functions for directional data analysis.
Author: Michail Tsagris, Giorgos Athineou
Maintainer: Michail Tsagris <mtsagris@yahoo.gr>

Diff between Directional versions 1.7 dated 2016-01-27 and 1.7.5 dated 2016-02-12

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Package cartography updated to version 1.2 with previous version 1.1 dated 2015-11-18

Title: Thematic Cartography
Description: Create and integrate maps in your R workflow. This package allows various cartographic representations such as proportional symbols, chroropleth, typology, flows, discontinuities. In addition it also proposes some additional useful features as cartographic palettes, layout (scale, north arrow, title...), labels, legends, access to cartographic API to ease the graphic presentation of maps.
Author: Timothée Giraud [cre, aut], Nicolas Lambert [aut]
Maintainer: Timothée Giraud <timothee.giraud@ums-riate.fr>

Diff between cartography versions 1.1 dated 2015-11-18 and 1.2 dated 2016-02-12

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Package simsalapar updated to version 1.0-9 with previous version 1.0-8 dated 2016-01-02

Title: Tools for Simulation Studies in Parallel
Description: Tools for setting up ("design"), conducting, and evaluating large-scale simulation studies with graphics and tables, including parallel computations.
Author: Marius Hofert and Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Marius Hofert <marius.hofert@uwaterloo.ca>

Diff between simsalapar versions 1.0-8 dated 2016-01-02 and 1.0-9 dated 2016-02-12

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Package sdcTable updated to version 0.20.3 with previous version 0.20.1 dated 2015-12-11

Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in tabular data such as primary and secondary cell suppression are covered in this package.
Author: Bernhard Meindl
Maintainer: Bernhard Meindl <bernhard.meindl@statistik.gv.at>

Diff between sdcTable versions 0.20.1 dated 2015-12-11 and 0.20.3 dated 2016-02-12

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New package ECctmc with initial version 0.1.0
Package: ECctmc
Type: Package
Title: Simulation from Endpoint-Conditioned Continuous Time Markov Chains
Version: 0.1.0
Date: 2016-02-01
Authors@R: person("Jon", "Fintzi", email = "fintzij@uw.edu", role = c("aut", "cre"))
URL: https://github.com/fintzij/ECctmc
BugReports: https://github.com/fintzij/ECctmc/issues
Description: Draw sample paths for endpoint-conditioned continuous time Markov chains via modified rejection sampling or uniformization.
License: GPL-3
LazyData: TRUE
Imports: Rcpp (>= 0.12.3)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-02-12 08:59:13 UTC; Jonathan
Author: Jon Fintzi [aut, cre]
Maintainer: Jon Fintzi <fintzij@uw.edu>
Repository: CRAN
Date/Publication: 2016-02-12 10:59:12

More information about ECctmc at CRAN
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Package DepthProc updated to version 1.0.7 with previous version 1.0.3 dated 2014-11-11

Title: Statistical Depth Functions for Multivariate Analysis
Description: Data depth concept offers a variety of powerful and user friendly tools for robust exploration and inference for multivariate data. The offered techniques may be successfully used in cases of lack of our knowledge on parametric models generating data due to their nonparametric nature. The package consist of among others implementations of several data depth techniques involving multivariate quantile-quantile plots, multivariate scatter estimators, multivariate Wilcoxon tests and robust regressions.
Author: Daniel Kosiorowski, Mateusz Bocian, Anna Wegrzynkiewicz and Zygmunt Zawadzki from Cracow University of Economics.
Maintainer: Zygmunt Zawadzki <zawadzkizygmunt@gmail.com>

Diff between DepthProc versions 1.0.3 dated 2014-11-11 and 1.0.7 dated 2016-02-12

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More information about DepthProc at CRAN
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Package ACSNMineR updated to version 0.16.01.29 with previous version 0.15.11 dated 2015-11-24

Title: Gene Enrichment Analysis from ACSN Maps or GMT Files
Description: Compute and represent gene set enrichment or depletion from your data based on pre-saved maps from the Atlas of Cancer Signalling Networks (ACSN) or user imported maps. User imported maps must be complying with the GMT format as defined by the Broad Institute, that is to say that the file should be tab-separated, that the first column should contain the module name, the second column can contain comments that will be overwritten with the number of genes in the module, and subsequent columns must contain the list of genes (HUGO symbols; tab-separated) inside the module. The gene set enrichment can be run with hypergeometric test or Fisher exact test, and can use multiple corrections. Visualization of data can be done either by barplots or heatmaps.
Author: Paul Deveau [aut, cre], Eric Bonnet [aut]
Maintainer: Paul Deveau <paul.deveau@curie.fr>

Diff between ACSNMineR versions 0.15.11 dated 2015-11-24 and 0.16.01.29 dated 2016-02-12

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Package weights updated to version 0.85 with previous version 0.80 dated 2014-03-04

Title: Weighting and Weighted Statistics
Description: Provides a variety of functions for producing simple weighted statistics, such as weighted Pearson's correlations, partial correlations, Chi-Squared statistics, histograms, and t-tests. Also now includes some software for quickly recoding survey data and plotting point estimates from interaction terms in regressions (and multiply imputed regressions). Future versions of the package will be more closely integrated with "anesrake" and additional weighting tools and will provide the option to find weighting benchmarks and weight data using a variety of methodologies. NOTE: Weighted partial correlation calculations temporarily pulled to address a bug.
Author: Josh Pasek, with some assistance from Alex Tahk and some code modified from R-core; Additional contributions by Gene Culter and Marcus Schwemmle.
Maintainer: Josh Pasek <josh@joshpasek.com>

Diff between weights versions 0.80 dated 2014-03-04 and 0.85 dated 2016-02-12

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Package TeachingDemos updated to version 2.10 with previous version 2.9 dated 2013-08-29

Title: Demonstrations for Teaching and Learning
Description: Demonstration functions that can be used in a classroom to demonstrate statistical concepts, or on your own to better understand the concepts or the programming.
Author: Greg Snow
Maintainer: Greg Snow <538280@gmail.com>

Diff between TeachingDemos versions 2.9 dated 2013-08-29 and 2.10 dated 2016-02-12

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New package noncompliance with initial version 0.1.1
Package: noncompliance
Type: Package
Title: Causal Inference in the Presence of Treatment Noncompliance Under the Binary Instrumental Variable Model
Version: 0.1.1
Date: 2016-02-11
Authors@R: c( person("Wen Wei", "Loh", email = "wloh@uw.edu", role = c("aut", "cre")), person("Thomas", "Richardson", role = "aut"))
Description: A finite-population significance test of the 'sharp' causal null hypothesis that treatment exposure X has no effect on final outcome Y, within the principal stratum of Compliers. A generalized likelihood ratio test statistic is used, and the resulting p-value is exact. Currently, it is assumed that there are only Compliers and Never Takers in the population.
Imports: data.table (>= 1.9.4), Rcpp (>= 0.12.1)
License: GPL (>= 3)
LazyData: TRUE
LinkingTo: Rcpp
RoxygenNote: 5.0.1
Suggests: testthat
URL: https://www.stat.washington.edu/~wloh/
NeedsCompilation: yes
Packaged: 2016-02-12 01:10:49 UTC; wloh
Author: Wen Wei Loh [aut, cre], Thomas Richardson [aut]
Maintainer: Wen Wei Loh <wloh@uw.edu>
Repository: CRAN
Date/Publication: 2016-02-12 07:41:04

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Package loo updated to version 0.1.5 with previous version 0.1.4 dated 2015-12-10

Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Description: Efficient approximate leave-one-out cross-validation (LOO) using Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors, and for the comparison of predictive errors between models. We also compute the widely applicable information criterion (WAIC).
Author: Aki Vehtari [aut], Andrew Gelman [aut], Jonah Gabry [cre, aut], Juho Piironen [ctb], Ben Goodrich [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

Diff between loo versions 0.1.4 dated 2015-12-10 and 0.1.5 dated 2016-02-12

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Package lme4 updated to version 1.1-11 with previous version 1.1-10 dated 2015-10-06

Title: Linear Mixed-Effects Models using 'Eigen' and S4
Description: Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Douglas Bates [aut], Martin Maechler [aut], Ben Bolker [aut, cre], Steven Walker [aut], Rune Haubo Bojesen Christensen [ctb], Henrik Singmann [ctb], Bin Dai [ctb], Gabor Grothendieck [ctb], Peter Green [ctb]
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>

Diff between lme4 versions 1.1-10 dated 2015-10-06 and 1.1-11 dated 2016-02-12

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Package FCMapper updated to version 1.1 with previous version 1.0 dated 2015-02-05

Title: Fuzzy Cognitive Mapping
Description: Provides several functions to create and manipulate fuzzy cognitive maps. It is based on 'FCMapper' for Excel, distributed at <http:// www.fcmappers.net/joomla/>, developed by Michael Bachhofer and Martin Wildenberg. Maps are inputted as adjacency matrices. Attributes of the maps and the equilibrium values of the concepts (including with user-defined constrained values) can be calculated. The maps can be graphed with a function that calls 'igraph'. Multiple maps with shared concepts can be aggregated.
Author: Shaun Turney and Michael Bachhofer
Maintainer: Shaun Turney <shaun.turney@mail.mcgill.ca>

Diff between FCMapper versions 1.0 dated 2015-02-05 and 1.1 dated 2016-02-12

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