Thu, 14 Mar 2019

Package WeMix updated to version 2.2.1 with previous version 2.2.0 dated 2019-03-13

Title: Weighted Mixed-Effects Models, using Multilevel Pseudo Maximum Likelihood Estimation
Description: Run mixed-effects models that include weights at every level. The WeMix package fits a Weighted Mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. The model is fit using adaptive quadrature.
Author: Paul Bailey, Claire Kelley, Trang Nguyen, Huade Huo.
Maintainer: Claire Kelley <ckelley@air.org>

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Package rwavelet updated to version 0.4.0 with previous version 0.1.0 dated 2018-09-12

Title: Wavelet Analysis
Description: Perform wavelet analysis (orthogonal, translation invariant, tensorial, 1-2-3d transforms, thresholding, block thresholding, linear,...) with applications to data compression or denoising/regression. The core of the code is a port of 'MATLAB' Wavelab toolbox written by D. Donoho, A. Maleki and M. Shahram (<https://statweb.stanford.edu/~wavelab/>).
Author: F. Navarro and C. Chesneau
Maintainer: Navarro Fabien <fabien.navarro@ensai.fr>

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Package Rborist updated to version 0.1-15 with previous version 0.1-14 dated 2019-03-12

Title: Extensible, Parallelizable Implementation of the Random Forest Algorithm
Description: Scalable implementation of classification and regression forests, as described by Breiman (2001), <DOI:10.1023/A:1010933404324>.
Author: Mark Seligman
Maintainer: Mark Seligman <mseligman@suiji.org>

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Package baytrends updated to version 1.1.0 with previous version 1.0.7 dated 2018-07-19

Title: Long Term Water Quality Trend Analysis
Description: Enable users to evaluate long-term trends using a Generalized Additive Modeling (GAM) approach. The model development includes selecting a GAM structure to describe nonlinear seasonally-varying changes over time, incorporation of hydrologic variability via either a river flow or salinity, the use of an intervention to deal with method or laboratory changes suspected to impact data values, and representation of left- and interval-censored data. The approach has been applied to water quality data in the Chesapeake Bay, a major estuary on the east coast of the United States to provide insights to a range of management- and research-focused questions.
Author: Rebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo
Maintainer: Erik Leppo <Erik.Leppo@tetratech.com>

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 baytrends-1.1.0/baytrends/R/zzz.R                                                               |    5 
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 baytrends-1.1.0/baytrends/man/c.Rd                                                              |    2 
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 baytrends-1.1.0/baytrends/man/is.na.Rd                                                          |    2 
 baytrends-1.1.0/baytrends/man/isLike.Rd                                                         |    3 
 baytrends-1.1.0/baytrends/man/length.Rd                                                         |    2 
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 baytrends-1.1.0/baytrends/man/na2miss.Rd                                                        |    1 
 baytrends-1.1.0/baytrends/man/namePretty.Rd                                                     |    4 
 baytrends-1.1.0/baytrends/man/pcodeNWISqw.Rd                                                    |    4 
 baytrends-1.1.0/baytrends/man/printData.Rd                                                      |    2 
 baytrends-1.1.0/baytrends/man/quantile.Rd                                                       |    2 
 baytrends-1.1.0/baytrends/man/refLine.Rd                                                        |    8 
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 baytrends-1.1.0/baytrends/man/rmse.Rd                                                           |    6 
 baytrends-1.1.0/baytrends/man/selectData.Rd                                                     |    4 
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 baytrends-1.1.0/baytrends/man/str.Rd                                                            |    2 
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Package RecordLinkage updated to version 0.4-11 with previous version 0.4-10.2 dated 2019-03-04

Title: Record Linkage in R
Description: Provides functions for linking and de-duplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain.
Author: Andreas Borg <andreas.borg.public@posteo.de>, Murat Sariyar <murat.sariyar@charite.de>
Maintainer: Andreas Borg <andreas.borg.public@posteo.de>

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Package longitudinalcascade updated to version 0.1.2.1 with previous version 0.1.1.1 dated 2019-01-09

Title: Longitudinal Cascade
Description: Creates a series of set of graphics and statistics related to the longitudinal cascade, all included in a single object. The longitudinal cascade inputs longitudinal data to identify gaps in the HIV and related cascades by observing differences using time to event and survival methods. The stage definitions are set by the user, with default standard options. Outputs include graphics, datasets, and formal statistical tests.
Author: Noah Haber [aut, cre]
Maintainer: Noah Haber <noahhaber@gmail.com>

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Package ukbtools updated to version 0.11.1 with previous version 0.11.0 dated 2018-05-23

Title: Manipulate and Explore UK Biobank Data
Description: A set of tools to create a UK Biobank <http://www.ukbiobank.ac.uk/> dataset from a UKB fileset (.tab, .r, .html), visualize primary demographic data for a sample subset, query ICD diagnoses, retrieve genetic metadata, read and write standard file formats for genetic analyses.
Author: Ken Hanscombe [aut, cre]
Maintainer: Ken Hanscombe <ken.hanscombe@gmail.com>

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Package streamMOA updated to version 1.2-0 with previous version 1.1-4 dated 2018-04-07

Title: Interface for MOA Stream Clustering Algorithms
Description: Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework (Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604).
Author: Michael Hahsler [aut, cre, cph], John Forrest [aut, cph], Matthew Bolanos [ctb], Matthias Carnein [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package incidence updated to version 1.7.0 with previous version 1.5.4 dated 2019-01-15

Title: Compute, Handle, Plot and Model Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence' is used to store computed incidence and can be easily manipulated, subsetted, and plotted. In addition, log-linear models can be fitted to 'incidence' objects using 'fit'. This package is part of the RECON (<http://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
Author: Thibaut Jombart [aut], Zhian N. Kamvar [aut, cre] (<https://orcid.org/0000-0003-1458-7108>), Rich FitzJohn [aut], Jun Cai [ctb] (<https://orcid.org/0000-0001-9495-1226>), Sangeeta Bhatia [ctb], Jakob Schumacher [ctb], Juliet R.C. Pulliam [ctb] (<https://orcid.org/0000-0003-3314-8223>)
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>

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Package cimir updated to version 0.2-0 with previous version 0.1-0 dated 2019-01-04

Title: Interface to the CIMIS Web API
Description: Connect to the California Irrigation Management Information System (CIMIS) Web API. See the CIMIS main page <https://cimis.water.ca.gov/> and web API documentation <https://et.water.ca.gov> for more information.
Author: Michael Koohafkan [aut, cre]
Maintainer: Michael Koohafkan <michael.koohafkan@gmail.com>

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Package stdReg updated to version 3.2.0 with previous version 3.1.0 dated 2019-03-12

Title: Regression Standardization
Description: Contains functionality for regression standardization. Four general classes of models are allowed; generalized linear models, Conditional generalized estimating equation models, Cox proportional hazards models and shared frailty gamma-Weibull models. Sjolander, A. (2016) <doi:10.1007/s10654-016-0157-3>.
Author: Arvid Sjolander and Elisabeth Dahlqwist
Maintainer: Arvid Sjolander <arvid.sjolander@ki.se>

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Package Runuran updated to version 0.27 with previous version 0.26 dated 2019-03-12

Title: R Interface to the 'UNU.RAN' Random Variate Generators
Description: Interface to the 'UNU.RAN' library for Universal Non-Uniform RANdom variate generators. Thus it allows to build non-uniform random number generators from quite arbitrary distributions. In particular, it provides an algorithm for fast numerical inversion for distribution with given density function. In addition, the package contains densities, distribution functions and quantiles from a couple of distributions.
Author: Josef Leydold [aut, cre], Wolfgang H"ormann [aut]
Maintainer: Josef Leydold <josef.leydold@wu.ac.at>

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Package Ropj updated to version 0.2-2 with previous version 0.2-1 dated 2019-03-03

Title: Import Origin(R) Project Files
Description: Read the data from Origin(R) project files ('*.opj') <https://www.originlab.com/doc/User-Guide/Origin-File-Types>. No write support is planned. More object types may be available to be imported later.
Author: Miquel Garriga [aut, cph], Stefan Gerlach [aut, cph], Ion Vasilief [aut, cph], Alex Kargovsky [aut, cph], Knut Franke [ctb, cph], Alexander Semke [ctb, cph], Tilman Benkert [ctb, cph], Kasper Peeters [ctb, cph], Russell Standish [ctb, cph], Ivan Krylov [cre, cph]
Maintainer: Ivan Krylov <krylov.r00t@gmail.com>

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Package MultiRobust updated to version 1.0.2 with previous version 1.0.1 dated 2019-03-13

Title: Multiply Robust Methods for Missing Data Problems
Description: Multiply robust estimation for population mean (Han and Wang 2013) <doi:10.1093/biomet/ass087>, regression analysis (Han 2014) <doi:10.1080/01621459.2014.880058> (Han 2016) <doi:10.1111/sjos.12177> and quantile regression (Han et al. 2019) <doi:10.1111/rssb.12309>.
Author: Shixiao Zhang and Peisong Han
Maintainer: Shixiao Zhang <praetere@gmail.com>

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Package mclust updated to version 5.4.3 with previous version 5.4.2 dated 2018-11-17

Title: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Description: Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
Author: Chris Fraley [aut], Adrian E. Raftery [aut] (<https://orcid.org/0000-0002-6589-301X>), Luca Scrucca [aut, cre] (<https://orcid.org/0000-0003-3826-0484>), Thomas Brendan Murphy [ctb] (<https://orcid.org/0000-0002-5668-7046>), Michael Fop [ctb] (<https://orcid.org/0000-0003-3936-2757>)
Maintainer: Luca Scrucca <luca.scrucca@unipg.it>

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Package bibliometrix updated to version 2.1.2 with previous version 2.1.1 dated 2019-02-07

Title: An R-Tool for Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It provides various routines for importing bibliographic data from SCOPUS (<http://scopus.com>), Clarivate Analytics Web of Science (<http://www.webofknowledge.com/>), Cochrane Library (<http://www.cochranelibrary.com/>) and PubMed (<https://www.ncbi.nlm.nih.gov/pubmed/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut], Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package AMIAS updated to version 1.1.0 with previous version 1.0.2 dated 2018-04-19

Title: Alternating Minimization Induced Active Set Algorithms
Description: An implementation of alternating minimization induced active set (AMIAS) method for solving the generalized L0 problem. The AMIAS method is based on the necessary optimality conditions derived from an augmented Lagrangian framework. The proposed method takes full advantage of the primal and dual variables with complementary supports, and decouples the high-dimensional problem into two sub-systems on the active and inactive sets, respectively. A sequential AMIAS algorithm with warm start initialization is developed for efficient determination of the cardinality parameter, along with the output of solution paths.
Author: Canhong Wen, Xueqin Wang, Shijie Quan, Zelin Hong, Aijun Zhang
Maintainer: Canhong Wen <wench@ustc.edu.cn>

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Package simmer updated to version 4.2.2 with previous version 4.2.0 dated 2019-01-09

Title: Discrete-Event Simulation for R
Description: A process-oriented and trajectory-based Discrete-Event Simulation (DES) package for R. It is designed as a generic yet powerful framework. The architecture encloses a robust and fast simulation core written in 'C++' with automatic monitoring capabilities. It provides a rich and flexible R API that revolves around the concept of trajectory, a common path in the simulation model for entities of the same type. Documentation about 'simmer' is provided by several vignettes included in this package, via the paper by Ucar, Smeets & Azcorra (2018, <arXiv:1705.09746>), and the paper by Ucar, Hernández, Serrano & Azcorra (2018, <doi:10.1109/MCOM.2018.1700960>); see 'citation("simmer")' for details.
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>), Bart Smeets [aut, cph]
Maintainer: Iñaki Ucar <iucar@fedoraproject.org>

Diff between simmer versions 4.2.0 dated 2019-01-09 and 4.2.2 dated 2019-03-14

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Package Rlabkey updated to version 2.2.5 with previous version 2.2.4 dated 2018-11-05

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <http://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 2.2.4 dated 2018-11-05 and 2.2.5 dated 2019-03-14

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Package rgdal updated to version 1.4-3 with previous version 1.4-2 dated 2019-03-11

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4 and <= 2.5.0) and access to projection/transformation operations from the 'PROJ.4' library. The 'GDAL' and 'PROJ.4' libraries are external to the package, and, when installing the package from source, must be correctly installed first. From 'rgdal' 1.4.1, provision is made for 'PROJ6' accommodation, with 'PROJ6' functionality to follow; from 1.4.1 'rgdal' will build and function when 'PROJ' >= 6. Both 'GDAL' raster and 'OGR' vector map data can be imported into R, and 'GDAL' raster data and 'OGR' vector data exported. Use is made of classes defined in the 'sp' package. Windows and Mac Intel OS X binaries (including 'GDAL', 'PROJ.4' and 'Expat') are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb], Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgdal versions 1.4-2 dated 2019-03-11 and 1.4-3 dated 2019-03-14

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Package PBSmodelling updated to version 2.68.8 with previous version 2.68.6 dated 2017-12-27

Title: GUI Tools Made Easy: Interact with Models and Explore Data
Description: Provides software to facilitate the design, testing, and operation of computer models. It focuses particularly on tools that make it easy to construct and edit a customized graphical user interface ('GUI'). Although our simplified 'GUI' language depends heavily on the R interface to the 'Tcl/Tk' package, a user does not need to know 'Tcl/Tk'. Examples illustrate models built with other R packages, including 'PBSmapping', 'PBSddesolve', and 'BRugs'. A complete user's guide 'PBSmodelling-UG.pdf' shows how to use this package effectively.
Author: Jon T. Schnute [aut], Alex Couture-Beil [aut], Rowan Haigh [aut, cre], Nicholas Boers [ctb], Anisa Egeli [ctb], A. R. Kronlund [ctb], Steve Martell [ctb], Norm Olsen [ctb]
Maintainer: Rowan Haigh <rowan.haigh@dfo-mpo.gc.ca>

Diff between PBSmodelling versions 2.68.6 dated 2017-12-27 and 2.68.8 dated 2019-03-14

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Package ggpol updated to version 0.0.5 with previous version 0.0.4 dated 2018-09-20

Title: Visualizing Social Science Data with 'ggplot2'
Description: A 'ggplot2' extension for implementing parliament charts and several other useful visualizations.
Author: Frederik Tiedemann [aut, cre]
Maintainer: Frederik Tiedemann <fj.tiedemann@googlemail.com>

Diff between ggpol versions 0.0.4 dated 2018-09-20 and 0.0.5 dated 2019-03-14

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Package diversitree updated to version 0.9-11 with previous version 0.9-10 dated 2017-04-05

Title: Comparative 'Phylogenetic' Analyses of Diversification
Description: Contains a number of comparative 'phylogenetic' methods, mostly focusing on analysing diversification and character evolution. Contains implementations of 'BiSSE' (Binary State 'Speciation' and Extinction) and its unresolved tree extensions, 'MuSSE' (Multiple State 'Speciation' and Extinction), 'QuaSSE', 'GeoSSE', and 'BiSSE-ness' Other included methods include Markov models of discrete and continuous trait evolution and constant rate 'speciation' and extinction.
Author: Richard G. FitzJohn <fitzjohn@zoology.ubc.ca>, with 'GeoSSE' and 'ClaSSE' by Emma E. Goldberg <eeg@uic.edu>, and 'BiSSE-ness' by Karen Magnuson-Ford.
Maintainer: Richard G. FitzJohn <rich.fitzjohn@gmail.com>

Diff between diversitree versions 0.9-10 dated 2017-04-05 and 0.9-11 dated 2019-03-14

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Package bnclassify updated to version 0.4.2 with previous version 0.4.1 dated 2018-07-25

Title: Learning Discrete Bayesian Network Classifiers from Data
Description: State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, with functions for prediction, model evaluation and inspection.
Author: Mihaljevic Bojan [aut, cre], Bielza Concha [aut], Larranaga Pedro [aut], Wickham Hadley [ctb] (some code extracted from memoise package)
Maintainer: Mihaljevic Bojan <bmihaljevic@fi.upm.es>

Diff between bnclassify versions 0.4.1 dated 2018-07-25 and 0.4.2 dated 2019-03-14

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Package EventStudy updated to version 0.36 with previous version 0.35 dated 2019-03-02

Title: Event Study Analysis
Description: Perform Event Studies from through our <http://EventStudyTools.com> Application Programming Interface, parse the results, visualize it, and / or use the results in further analysis.
Author: Dr. Simon Mueller
Maintainer: Dr. Simon Mueller <simon.mueller@muon-stat.com>

Diff between EventStudy versions 0.35 dated 2019-03-02 and 0.36 dated 2019-03-14

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New package EHRtemporalVariability with initial version 1.0
Package: EHRtemporalVariability
Type: Package
Title: Delineating Reference Changes in Electronic Health Records over Time
Version: 1.0
Date: 2019-03-01
Encoding: UTF-8
Description: The 'EHRtemporalVariability' package contains functions to delineate reference changes over time in Electronic Health Records through the projection and visualization of dissimilarities among data temporal batches. This is done through the estimation of data statistical distributions over time and their projection in non-parametric statistical manifolds uncovering the patterns of the data latent temporal variability. Results can be explored through visual analytics formats such as Data Temporal heatmaps and Information Geometric Temporal (IGT) plots. An additional 'EHRtemporalVariability' Shiny app can be used to load and explore the package results and even to allow the use of these functions to those users non-experienced in R coding.
Depends: R (>= 3.3.0), dplyr
License: Apache License 2.0 | file LICENSE
LazyData: true
Imports: plotly, shiny, zoo, xts, lubridate, RColorBrewer, viridis, scales, devtools, methods
Suggests: knitr, rmarkdown, BiocStyle
VignetteBuilder: knitr
NeedsCompilation: no
Authors@R: c( person("Carlos", "Sáez", email = "carsaesi@upv.es", role = c("aut", "cre")), person("Alba", "Gutiérrez-Sacristán", email = "Alba_Gutierrez@hms.harvard.edu", role = c("aut")), person("Paul", "Avillach", email = "Paul_Avillach@hms.harvard.edu", role = c("aut")), person("Juan M", "García-Gómez", email = "juanmig@upv.es", role = c("aut")), person("Biomedical Data Science Lab, Universitat Politècnica de València (Spain)", role = c("cph")), person("Department of Biomedical Informatics, Harvard Medical School", role = c("cph")) )
Maintainer: Carlos Sáez <carsaesi@upv.es>
RoxygenNote: 6.1.1
URL: http://github.com/hms-dbmi/EHRtemporalVariability
Packaged: 2019-03-14 09:31:15 UTC; Carlos
Author: Carlos Sáez [aut, cre], Alba Gutiérrez-Sacristán [aut], Paul Avillach [aut], Juan M García-Gómez [aut], Biomedical Data Science Lab, Universitat Politècnica de València (Spain) [cph], Department of Biomedical Informatics, Harvard Medical School [cph]
Repository: CRAN
Date/Publication: 2019-03-14 12:03:34 UTC

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Package thor updated to version 1.1.0 with previous version 1.0.1 dated 2018-07-18

Title: Interface to 'LMDB'
Description: Key-value store, implemented as a wrapper around 'LMDB'; the "lightning memory-mapped database" <https://symas.com/lmdb/>. 'LMDB' is a transactional key value store that uses a memory map for efficient access. This package wraps the entire 'LMDB' interface (except duplicated keys), and provides objects for transactions and cursors.
Author: Rich FitzJohn [aut, cre], Howard Chu [cph], Symas Corporation [cph], Martin Hedenfalk [cph], The OpenLDAP Foundation [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

Diff between thor versions 1.0.1 dated 2018-07-18 and 1.1.0 dated 2019-03-14

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Package parglm updated to version 0.1.2 with previous version 0.1.1 dated 2019-01-19

Title: Parallel GLM
Description: Provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS.
Author: Benjamin Christoffersen [cre, aut], Anthony Williams [cph], Boost developers [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

Diff between parglm versions 0.1.1 dated 2019-01-19 and 0.1.2 dated 2019-03-14

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Package pammtools updated to version 0.1.9 with previous version 0.1.8 dated 2019-01-02

Title: Piece-Wise Exponential Additive Mixed Modeling Tools
Description: The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and Scheipl (2018) <doi: 10.1177/1471082X17748083>) is a powerful model class for survival analysis, based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender et. al. (2018) <doi:10.1093/biostatistics/kxy003>. pammtools provides tidy workflow for survival analysis with PAMMs, including data transformation and other pre- and post-processing functions as well as visualization.
Author: Andreas Bender [aut, cre] (<https://orcid.org/0000-0001-5628-8611>), Fabian Scheipl [aut]
Maintainer: Andreas Bender <andreas.bender@stat.uni-muenchen.de>

Diff between pammtools versions 0.1.8 dated 2019-01-02 and 0.1.9 dated 2019-03-14

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Package TSdist updated to version 3.5 with previous version 3.4 dated 2017-04-28

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.eus>

Diff between TSdist versions 3.4 dated 2017-04-28 and 3.5 dated 2019-03-14

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Package mgm updated to version 1.2-6 with previous version 1.2-5 dated 2019-01-07

Title: Estimating Time-Varying k-Order Mixed Graphical Models
Description: Estimation of k-Order time-varying Mixed Graphical Models and mixed VAR(p) models via elastic-net regularized neighborhood regression. For details see linked paper.
Author: Jonas Haslbeck
Maintainer: Jonas Haslbeck <jonashaslbeck@gmail.com>

Diff between mgm versions 1.2-5 dated 2019-01-07 and 1.2-6 dated 2019-03-14

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More information about mgm at CRAN
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Package rmarkdown updated to version 1.12 with previous version 1.11 dated 2018-12-08

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Richard Iannone [aut] (<https://orcid.org/0000-0003-3925-190X>), Jeff Allen [ctb], Barret Schloerke [ctb], Roy Storey [ctb], Rob Hyndman [ctb], Ruben Arslan [ctb], Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Christophe Dervieux [ctb], Malcolm Barrett [ctb], RStudio, Inc. [cph], jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/rmd/h/jquery-AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/rmd/h/jqueryui-AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), Greg Franko [ctb, cph] (tocify library), John MacFarlane [ctb, cph] (Pandoc templates), Google, Inc. [ctb, cph] (ioslides library), Dave Raggett [ctb] (slidy library), W3C [cph] (slidy library), Dave Gandy [ctb, cph] (Font-Awesome), Ben Sperry [ctb] (Ionicons), Drifty [cph] (Ionicons), Aidan Lister [ctb, cph] (jQuery StickyTabs)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between rmarkdown versions 1.11 dated 2018-12-08 and 1.12 dated 2019-03-14

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Package polyclip updated to version 1.10-0 with previous version 1.9-1 dated 2018-07-27

Title: Polygon Clipping
Description: R port of Angus Johnson's open source library Clipper. Performs polygon clipping operations (intersection, union, set minus, set difference) for polygonal regions of arbitrary complexity, including holes. Computes offset polygons (spatial buffer zones, morphological dilations, Minkowski dilations) for polygonal regions and polygonal lines. Computes Minkowski Sum of general polygons. There is a function for removing self-intersections from polygon data.
Author: Angus Johnson [aut] (C++ original, http://www.angusj.com/delphi/clipper.php), Adrian Baddeley [aut, trl, cre], Kurt Hornik [ctb], Brian D. Ripley [ctb], Elliott Sales de Andrade [ctb], Paul Murrell [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between polyclip versions 1.9-1 dated 2018-07-27 and 1.10-0 dated 2019-03-14

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Package elliptic updated to version 1.4-0 with previous version 1.3-9 dated 2018-08-03

Title: Weierstrass and Jacobi Elliptic Functions
Description: A suite of elliptic and related functions including Weierstrass and Jacobi forms. Also includes various tools for manipulating and visualizing complex functions.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between elliptic versions 1.3-9 dated 2018-08-03 and 1.4-0 dated 2019-03-14

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Package trackeR updated to version 1.4 with previous version 1.3.0 dated 2019-03-05

Title: Infrastructure for Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices
Description: Provides infrastructure for handling running, cycling and swimming data from GPS-enabled tracking devices within R. The package provides methods to extract, clean and organise workout and competition data into session-based and unit-aware data objects of class 'trackeRdata' (S3 class). The information can then be visualised, summarised, and analysed through flexible and extensible methods. Frick and Kosmidis (2017) <doi: 10.18637/jss.v082.i07>, which is updated and maintained as one of the vignettes, provides detailed descriptions of the package and its methods, and real-data demonstrations of the package functionality.
Author: Ioannis Kosmidis [aut, cre] (<https://orcid.org/0000-0003-1556-0302>), Hannah Frick [aut] (<https://orcid.org/0000-0002-6049-5258>), Robin Hornak [aut]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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More information about trackeR at CRAN
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Package fsdaR updated to version 0.4-6 with previous version 0.4-4 dated 2018-12-05

Title: Robust Data Analysis Through Monitoring and Dynamic Visualization
Description: Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis (FSDA)' which is a comprehensive and computationally efficient software package for robust statistics in regression, multivariate and categorical data analysis. The current R version implements tools for regression: (forward search, S- and MM-estimation, least trimmed squares (LTS) and least median of squares (LMS)). The distinctive feature of our regression package relies in the possibility of monitoring the statistics of interest as function of breakdown point, efficiency or subset size, depending on the estimator. This is accompanied by a rich set of graphical features, such as dynamic brushing, linking, particularly useful for exploratory data analysis.
Author: Valentin Todorov [aut, cre], Emmanuele Sordini [aut], Aldo Corbellini [ctb], Francesca Torti [ctb], Marco Riani [ctb], Domenico Perrotta [ctb], Andrea Cerioli [ctb]
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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More information about fsdaR at CRAN
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