Sat, 09 Sep 2017

Package stm updated to version 1.3.0 with previous version 1.2.2 dated 2017-03-28

Title: Estimation of the Structural Topic Model
Description: The Structural Topic Model (STM) allows researchers to estimate topic models with document-level covariates. The package also includes tools for model selection, visualization, and estimation of topic-covariate regressions.
Author: Margaret Roberts [aut, cre], Brandon Stewart [aut, cre], Dustin Tingley [aut, cre], Kenneth Benoit [ctb]
Maintainer: Brandon Stewart <bms4@princeton.edu>

Diff between stm versions 1.2.2 dated 2017-03-28 and 1.3.0 dated 2017-09-09

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Package jointDiag updated to version 0.3 with previous version 0.2 dated 2009-12-17

Title: Joint Approximate Diagonalization of a Set of Square Matrices
Description: Different algorithms to perform approximate joint diagonalization of a finite set of square matrices. Depending on the algorithm, orthogonal or non-orthogonal diagonalizer is found. These algorithms are particularly useful in the context of blind source separation.
Author: Cedric Gouy-Pailler <cedric.gouypailler@gmail.com>
Maintainer: Cedric Gouy-Pailler <cedric.gouypailler@gmail.com>

Diff between jointDiag versions 0.2 dated 2009-12-17 and 0.3 dated 2017-09-09

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Package brms updated to version 1.10.0 with previous version 1.9.0 dated 2017-08-15

Title: Bayesian Regression Models using Stan
Description: Fit Bayesian generalized (non-)linear multilevel models using Stan for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others -- linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include non-linear and smooth terms, auto-correlation structures, censored data, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. Model fit can easily be assessed and compared with posterior predictive checks and leave-one-out cross-validation.
Author: Paul-Christian Bürkner [aut, cre]
Maintainer: Paul-Christian Bürkner <paul.buerkner@gmail.com>

Diff between brms versions 1.9.0 dated 2017-08-15 and 1.10.0 dated 2017-09-09

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Package arulesViz updated to version 1.3-0 with previous version 1.2-1 dated 2017-03-13

Title: Visualizing Association Rules and Frequent Itemsets
Description: Extends package arules with various visualization techniques for association rules and itemsets. The package also includes several interactive visualizations for rule exploration.
Author: Michael Hahsler [aut, cre, cph], Sudheer Chelluboina [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between arulesViz versions 1.2-1 dated 2017-03-13 and 1.3-0 dated 2017-09-09

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Package RTaxometrics updated to version 2.3 with previous version 2.2 dated 2017-06-30

Title: Taxometric Analysis
Description: We provide functions to perform taxometric analyses. This package contains 44 functions, but only 5 should be called directly by users. CheckData() should be run prior to any taxometric analysis to ensure that the data are appropriate for taxometric analysis. RunTaxometrics() performs taxometric analyses for a sample of data. RunCCFIProfile() performs a series of taxometric analyses to generate a CCFI profile. CreateData() generates a sample of categorical or dimensional data. ClassifyCases() assigns cases to groups using the base-rate classification method.
Author: John Ruscio <ruscio@tcnj.edu> and Shirley Wang <wangs7@tcnj.edu>
Maintainer: John Ruscio <ruscio@tcnj.edu>

Diff between RTaxometrics versions 2.2 dated 2017-06-30 and 2.3 dated 2017-09-09

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Package CARS updated to version 0.2 with previous version 0.1 dated 2017-08-01

Title: Covariate Assisted Ranking and Screening for Large-Scale Two-Sample Inference
Description: It implements the CARS procedure, which is a two-sample multiple testing procedure that utilizes an additional auxiliary variable to capture the sparsity information, hence improving power. The CARS procedure is shown to be asymptotically valid and optimal for FDR control. For more information, please see the website <http://www-bcf.usc.edu/~wenguans/Papers/CARS.html> and the accompanying paper.
Author: Weinan Wang [cre, aut]
Maintainer: Weinan Wang <weinanw@usc.edu>

Diff between CARS versions 0.1 dated 2017-08-01 and 0.2 dated 2017-09-09

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Package cwhmisc updated to version 6.5 with previous version 6.0 dated 2015-08-03

Title: Miscellaneous Functions for Math, Plotting, Printing, Statistics, Strings, and Tools
Description: Miscellaneous useful or interesting functions.
Author: Christian W. Hoffmann
Maintainer: Christian W. Hoffmann <christian@echoffmann.ch>

Diff between cwhmisc versions 6.0 dated 2015-08-03 and 6.5 dated 2017-09-09

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Package asymmetry updated to version 1.2.3 with previous version 1.2.2 dated 2017-07-08

Title: Visualizing Asymmetric Data
Description: Multidimensional scaling models and methods for the visualization for asymmetric data. A matrix is asymmetric if the number of rows equals the number of columns, and these rows and columns refer to the same set of objects. An example is a student migration table, where the rows correspond to the countries of origin of the students and the columns to the destination countries. This package provides the slide-vector model, a scaling model with unique dimensions and the asymscal model for asymmetric multidimensional scaling. Furthermore, a heat map for skew-symmetric data, and the decomposition of asymmetry are provided for the analysis of asymmetric tables.
Author: Berrie Zielman
Maintainer: Berrie Zielman <berrie.zielman@gmail.com>

Diff between asymmetry versions 1.2.2 dated 2017-07-08 and 1.2.3 dated 2017-09-09

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Package Rnightlights updated to version 0.1.2 with previous version 0.1.1 dated 2017-08-16

Title: Satellite Nightlight Data Extraction
Description: The Rnightlights package extracts raster and zonal statistics from satellite nightlight rasters downloaded from the United States National Oceanic and Atmospheric Administration (<http://www.noaa.gov>) free data repositories. Both the DMSP-OLS annual and SNPP-VIIRS monthly nightlight raster data are supported. Satellite nightlight raster tiles are downloaded and cropped to the country boundaries using shapefiles from the GADM database of Global Administrative Areas (<http://gadm.org>). Zonal statistics are then calculated at the lowest administrative boundary for the selected country and cached locally for future retrieval. Finally, a simple data explorer/browser is included that allows one to visualize the cached data e.g. graphing, mapping and clustering regional data.
Author: Christopher Njuguna [aut, cre, cph], Henrik Bengtsson [ctb] (data setup, https://cran.r-project.org/package=R.cache), Black Guru [ctb] (gdal zonal, http://www.guru-gis.net/efficient-zonal-statistics-using-r-and-gdal/), Jeff Chen [ctb] (masq function, https://commercedataservice.github.io/tutorial_viirs_part1/), Star Ying [ctb] (masq function, https://commercedataservice.github.io/tutorial_viirs_part1/), Chris Elvidge [ctb] (information + masq function)
Maintainer: Christopher Njuguna <chris.njuguna@gmail.com>

Diff between Rnightlights versions 0.1.1 dated 2017-08-16 and 0.1.2 dated 2017-09-09

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Package sparsebnUtils updated to version 0.0.5 with previous version 0.0.4 dated 2017-03-12

Title: Utilities for Learning Sparse Bayesian Networks
Description: A set of tools for representing and estimating sparse Bayesian networks from continuous and discrete data.
Author: Bryon Aragam [aut, cre], Jiaying Gu [aut]
Maintainer: Bryon Aragam <sparsebn@gmail.com>

Diff between sparsebnUtils versions 0.0.4 dated 2017-03-12 and 0.0.5 dated 2017-09-09

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More information about sparsebnUtils at CRAN
Permanent link

Package mgcv updated to version 1.8-20 with previous version 1.8-19 dated 2017-08-29

Title: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Description: Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar. Includes a gam() function, a wide variety of smoothers, JAGS support and distributions beyond the exponential family.
Author: Simon Wood <simon.wood@r-project.org>
Maintainer: Simon Wood <simon.wood@r-project.org>

Diff between mgcv versions 1.8-19 dated 2017-08-29 and 1.8-20 dated 2017-09-09

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More information about mgcv at CRAN
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New package metaforest with initial version 0.1.0
Package: metaforest
Type: Package
Title: Exploring Heterogeneity in Meta-Analysis using Random Forests
Version: 0.1.0
Author: Caspar J. van Lissa
Maintainer: Caspar J. van Lissa <c.j.vanlissa@gmail.com>
Description: A requirement of classic meta-analysis is that the studies being aggregated are conceptually similar, and ideally, close replications. However, in many fields, there is substantial heterogeneity between studies on the same topic. Similar research questions are studied in different laboratories, using different methods, instruments, and samples. Classic meta-analysis lacks the power to assess more than a handful of univariate moderators, or to investigate interactions between moderators, and non-linear effects. MetaForest, by contrast, has substantial power to explore heterogeneity in meta-analysis. It can identify important moderators from a larger set of potential candidates, even with as little as 20 studies (Van Lissa, in preparation). This is an appealing quality, because many meta-analyses have small sample sizes. Moreover, MetaForest yields a measure of variable importance which can be used to identify important moderators, and offers partial prediction plots to explore the shape of the marginal relationship between moderators and effect size.
Depends: R (>= 3.4.1), edarf, ggplot2, metafor, ranger, reshape2
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-09 15:33:10 UTC; Caspar
Repository: CRAN
Date/Publication: 2017-09-09 16:58:40 UTC

More information about metaforest at CRAN
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Package RcppRedis updated to version 0.1.8 with previous version 0.1.7 dated 2016-04-27

Title: 'Rcpp' Bindings for 'Redis' using the 'hiredis' Library
Description: Connection to the 'Redis' key/value store using the C-language client library 'hiredis'. 'MsgPack' encoding is optional if the 'RcppMsgPack' package is detected. You can install via from the 'ghrr' drat repository listed below.
Author: Dirk Eddelbuettel <edd@debian.org>
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppRedis versions 0.1.7 dated 2016-04-27 and 0.1.8 dated 2017-09-09

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More information about RcppRedis at CRAN
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New package keyring with initial version 1.0.0
Package: keyring
Title: Access the System Credential Store from R
Version: 1.0.0
Authors@R: c(person(given = "Gábor", family = "Csárdi", role = c("aut", "cre"), email = "csardi.gabor@gmail.com"), person("RStudio", role = "cph"))
Description: Platform independent 'API' to access the operating system's credential store. Currently supports: 'Keychain' on 'macOS', Credential Store on 'Windows', the Secret Service 'API' on 'Linux', and a simple, platform independent store implemented with environment variables. Additional storage back-ends can be added easily.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/r-lib/keyring#readme
BugReports: https://github.com/r-lib/keyring/issues
RoxygenNote: 6.0.1
Imports: assertthat, getPass, openssl, R6, utils
Suggests: covr, mockery, testthat, withr
Encoding: UTF-8
SystemRequirements: libsecret on Linux (libsecret-1-dev on Debian/Ubuntu, libsecret-devel on Fedora/CentOS)
Collate: 'api.R' 'assertions.R' 'backend-class.R' 'backend-env.R' 'backend-macos.R' 'backend-secret-service.R' 'backend-wincred.R' 'default_backend.R' 'package.R' 'pass.R' 'utils.R'
NeedsCompilation: yes
Packaged: 2017-09-09 10:03:47 UTC; gaborcsardi
Author: Gábor Csárdi [aut, cre], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-09 15:18:36 UTC

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Package GeoMongo updated to version 1.0.1 with previous version 1.0.0 dated 2017-08-07

Title: Geospatial Queries Using 'PyMongo'
Description: Utilizes methods of the 'PyMongo' 'Python' library to initialize, insert and query 'GeoJson' data (see <https://api.mongodb.com/python/current/#> for more information on 'PyMongo'). Furthermore, it allows the user to validate 'GeoJson' objects and to use the console for 'MongoDB' (bulk) commands. The 'reticulate' package provides the 'R' interface to 'Python' modules, classes and functions.
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between GeoMongo versions 1.0.0 dated 2017-08-07 and 1.0.1 dated 2017-09-09

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More information about GeoMongo at CRAN
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Package psych updated to version 1.7.8 with previous version 1.7.5 dated 2017-05-03

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research. For more information, see the <http://personality-project.org/r> web page.
Author: William Revelle <revelle@northwestern.edu>
Maintainer: William Revelle <revelle@northwestern.edu>

Diff between psych versions 1.7.5 dated 2017-05-03 and 1.7.8 dated 2017-09-09

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More information about psych at CRAN
Permanent link

Package lessR updated to version 3.6.6 with previous version 3.6.5 dated 2017-08-06

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. A confirmatory factor analysis of multiple indicator measurement models is available, as are pedagogical routines for data simulation such as for the Central Limit Theorem. Compatible with 'RStudio' and 'knitr' including generation of R markdown instructions for interpretative output.
Author: David W. Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 3.6.5 dated 2017-08-06 and 3.6.6 dated 2017-09-09

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Package gridExtra updated to version 2.3 with previous version 2.2.1 dated 2016-02-29

Title: Miscellaneous Functions for "Grid" Graphics
Description: Provides a number of user-level functions to work with "grid" graphics, notably to arrange multiple grid-based plots on a page, and draw tables.
Author: Baptiste Auguie [aut, cre], Anton Antonov [ctb]
Maintainer: Baptiste Auguie <baptiste.auguie@gmail.com>

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Package future updated to version 1.6.1 with previous version 1.6.0 dated 2017-08-13

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, on in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implements additional backends for processing futures via compute cluster schedulers etc. Because of its unified API, there is no need to modify code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package fecR updated to version 0.0.2 with previous version 0.0.1 dated 2016-11-03

Title: Fishing Effort Calculator in R
Description: Calculates fishing effort following the DG MARE Ad-Hoc Workshops on Transversal Variables in Zagreb (2015) and Nicosia (2016).
Author: Finlay Scott [aut, cre], Nuno Prista [aut], Thomas Reilly [aut]
Maintainer: Finlay Scott <finlay.scott@ec.europa.eu>

Diff between fecR versions 0.0.1 dated 2016-11-03 and 0.0.2 dated 2017-09-09

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Package dplyr updated to version 0.7.3 with previous version 0.7.2 dated 2017-07-20

Title: A Grammar of Data Manipulation
Description: A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Author: Hadley Wickham [aut, cre], Romain Francois [aut], Lionel Henry [aut], Kirill Müller [aut], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package sysfonts updated to version 0.7.1 with previous version 0.7 dated 2017-09-08

Title: Loading Fonts into R
Description: Loading system fonts and Google Fonts <https://fonts.google.com/> into R, in order to support other packages such as 'R2SWF' and 'showtext'.
Author: Yixuan Qiu and authors/contributors of the included fonts. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

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Package gemlog updated to version 0.22 with previous version 0.20 dated 2016-11-10

Title: File Conversion for 'Gem Infrasound Logger'
Description: Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is convenient for reading with traditional seismic analysis software). The Gem infrasound logger is an in-development low-cost, lightweight, low-power instrument for recording infrasound in field campaigns; email the maintainer for more information.
Author: Jake Anderson
Maintainer: Jake Anderson <ajakef@gmail.com>

Diff between gemlog versions 0.20 dated 2016-11-10 and 0.22 dated 2017-09-09

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