Wed, 10 Apr 2019

Package capitalR updated to version 1.1.0 with previous version 1.0.0 dated 2019-02-27

Title: Capital Budgeting Analysis, Annuity Loan Calculations and Amortization Schedules
Description: Provides Capital Budgeting Analysis functionality and the essential Annuity loan functions. Also computes Loan Amortization Schedules including schedules with irregular payments.
Author: John T. Buynak
Maintainer: John T. Buynak <jbuynak94@gmail.com>

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Package oppr updated to version 0.0.3 with previous version 0.0.2 dated 2019-03-20

Title: Optimal Project Prioritization
Description: A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from <https://www.gurobi.com>) because it can identify optimal solutions very quickly. Finally, methods are provided for comparing different prioritizations and evaluating their benefits.
Author: Jeffrey O Hanson [aut, cre], Richard Schuster [aut], Matthew Strimas-Mackey [aut], Joeseph Bennett [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

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Package MOTE updated to version 1.0.2 with previous version 1.0.1 dated 2019-03-06

Title: Effect Size and Confidence Interval Calculator
Description: Measure of the Effect ('MOTE') is an effect size calculator, including a wide variety of effect sizes in the mean differences family (all versions of d) and the variance overlap family (eta, omega, epsilon, r). 'MOTE' provides non-central confidence intervals for each effect size, relevant test statistics, and output for reporting in APA Style (American Psychological Association, 2010, <ISBN:1433805618>) with 'LaTeX'. In research, an over-reliance on p-values may conceal the fact that a study is under-powered (Halsey, Curran-Everett, Vowler, & Drummond, 2015 <doi:10.1038/nmeth.3288>). A test may be statistically significant, yet practically inconsequential (Fritz, Scherndl, & Kühberger, 2012 <doi:10.1177/0959354312436870>). Although the American Psychological Association has long advocated for the inclusion of effect sizes (Wilkinson & American Psychological Association Task Force on Statistical Inference, 1999 <doi:10.1037/0003-066X.54.8.594>), the vast majority of peer-reviewed, published academic studies stop short of reporting effect sizes and confidence intervals (Cumming, 2013, <doi:10.1177/0956797613504966>). 'MOTE' simplifies the use and interpretation of effect sizes and confidence intervals. For more information, visit <https://www.aggieerin.com/shiny-server>.
Author: Erin M. Buchanan [aut, cre] (<https://orcid.org/0000-0002-9689-4189>), Amber M Gillenwaters [aut] (<https://orcid.org/0000-0002-7580-3591>), John E. Scofield [aut] (<https://orcid.org/0000-0001-6345-1181>), K. D. Valentine [aut] (<https://orcid.org/0000-0001-6349-5395>)
Maintainer: Erin M. Buchanan <buchananlab@gmail.com>

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Package microsynth updated to version 2.0.13 with previous version 1.0.9 dated 2018-05-16

Title: Synthetic Control Methods with Micro- And Meso-Level Data
Description: A generalization of the 'Synth' package that is designed for data at a more granular level (e.g., micro-level). Provides functions to construct weights (including propensity score-type weights) and run analyses for synthetic control methods with micro- and meso-level data; see Robbins, Saunders, and Kilmer (2017) <doi:10.1080/01621459.2016.1213634>.
Author: Michael Robbins [aut, cre], Steven Davenport [aut]
Maintainer: Michael Robbins <mrobbins@rand.org>

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New package CDECRetrieve with initial version 0.1.4
Package: CDECRetrieve
Type: Package
Title: Retrieve Historical and Near Realtime Data from CDEC
Version: 0.1.4
Authors@R: person("Emanuel", "Rodriguez", email = "erodriguez@flowwest.com", role = c("aut", "cre"))
Description: CDEC maintains a set of web services at <http://cdec.water.ca.gov/queryTools.html>. In order to better interact and analyze the data this R packages allows users to quickly and easily retrieve data.
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.1.2)
Imports: dplyr (>= 0.7.0), tidyr (>= 0.7), magrittr (>= 1.5), purrr (>= 0.2), readr (>= 1.1.1), roxygen2, rvest (>= 0.3), xml2, stringr (>= 1.2.0), tibble, lubridate (>= 1.6.0), httr (>= 1.3.1), lazyeval, glue
Suggests: testthat, leaflet, knitr, rmarkdown, ggplot2
License: MIT + file LICENSE
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-10 20:20:31 UTC; emanuel
Author: Emanuel Rodriguez [aut, cre]
Maintainer: Emanuel Rodriguez <erodriguez@flowwest.com>
Repository: CRAN
Date/Publication: 2019-04-10 21:47:42 UTC

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Package nasapower updated to version 1.1.0 with previous version 1.0.7 dated 2019-02-17

Title: NASA POWER API Client
Description: Client for 'NASA' 'POWER' global meteorology, surface solar energy and climatology data 'API'. 'POWER' (Prediction Of Worldwide Energy Resource) data are freely available global meteorology and surface solar energy climatology data for download with a resolution of 1/2 by 1/2 arc degree longitude and latitude and are funded through the 'NASA' Earth Science Directorate Applied Science Program. For more on the data themselves, a web-based data viewer and web access, please see <https://power.larc.nasa.gov/>.
Author: Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Scott Chamberlain [rev] (<https://orcid.org/0000-0003-1444-9135>), Hazel Kavili [rev], Alison Boyer [rev]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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Package rdnb updated to version 0.1-3 with previous version 0.1-2 dated 2018-09-15

Title: R Interface to the 'Deutsche Nationalbibliothek (German National Library) API'
Description: A wrapper for the 'Deutsche Nationalbibliothek (German National Library) API', available at <http://www.dnb.de>. The German National Library is the German central archival library, collecting, archiving, bibliographically classifying all German and German-language publications, foreign publications about Germany, translations of German works, and the works of German-speaking emigrants published abroad between 1933 and 1945. A personal access token is required for usage.
Author: Christian Graul [aut, cre]
Maintainer: Christian Graul <christian.graul@gmail.com>

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Package plotly updated to version 4.9.0 with previous version 4.8.0 dated 2018-07-20

Title: Create Interactive Web Graphics via 'plotly.js'
Description: Create interactive web graphics from 'ggplot2' graphs and/or a custom interface to the (MIT-licensed) JavaScript library 'plotly.js' inspired by the grammar of graphics.
Author: Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>), Chris Parmer [aut], Toby Hocking [aut], Scott Chamberlain [aut], Karthik Ram [aut], Marianne Corvellec [aut] (<https://orcid.org/0000-0002-1994-3581>), Pedro Despouy [aut], Plotly Technologies Inc. [cph]
Maintainer: Carson Sievert <cpsievert1@gmail.com>

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Package chromoMap updated to version 0.2 with previous version 0.1 dated 2018-05-15

Title: Interactive Visualization and Mapping of Chromosomes
Description: Provides interactive, configurable and elegant graphics visualization of the chromosomes or chromosome regions of any living organism allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data associated with chromosome elements (like gene expression) in the form of heat colors which can be highly advantageous in the scientific interpretations and research work. Because of the large size of the chromosomes, it is impractical to visualize each element on the same plot. However, the plot provides a magnified view for each of chromosome locus to render additional information and visualization specific for that location. You can map thousands of genes and can view all mappings easily. Users can investigate the detailed information about the mappings (like gene names or total genes mapped on a location) or can view the magnified single or double stranded view of the chromosome at a location showing each mapped element in sequential order. The package provide multiple features like visualizing multiple sets, chromosome heat-maps, group annotations, adding hyperlinks, and labelling. The plots can be saved as HTML documents that can be customized and shared easily. In addition, you can include them in R Markdown or in R 'Shiny' applications.
Author: Lakshay Anand [aut, cre]
Maintainer: Lakshay Anand <lakshayanand15@gmail.com>

Diff between chromoMap versions 0.1 dated 2018-05-15 and 0.2 dated 2019-04-10

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New package SVN with initial version 1.0
Package: SVN
Type: Package
Title: Statistically Validated Networks
Version: 1.0
Date: 2019-04-10
Author: Damien Challet
Maintainer: Damien Challet <damien.challet@gmail.com>
Description: Determines networks of significant synchronization between the discrete states of nodes; see Tumminello et al <doi:10.1371/journal.pone.0017994>.
License: GPL (>= 2.0)
Depends: data.table, igraph, memoise
Imports:
RoxygenNote: 6.1.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-04-10 07:30:44 UTC; damien
Repository: CRAN
Date/Publication: 2019-04-10 18:25:30 UTC

More information about SVN at CRAN
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Package LPCM updated to version 0.46-2 with previous version 0.46-1 dated 2019-02-17

Title: Local Principal Curve Methods
Description: Fitting multivariate data patterns with local principal curves, including tools for data compression (projection) and measuring goodness-of-fit; with some additional functions for mean shift clustering.
Author: Jochen Einbeck and Ludger Evers
Maintainer: Jochen Einbeck <jochen.einbeck@durham.ac.uk>

Diff between LPCM versions 0.46-1 dated 2019-02-17 and 0.46-2 dated 2019-04-10

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Package micar updated to version 1.1.1 with previous version 1.1.0 dated 2019-02-22

Title: 'Mica' Data Web Portal Client
Description: 'Mica' is a server application used to create data web portals for large-scale epidemiological studies or multiple-study consortia. 'Mica' helps studies to provide scientifically robust data visibility and web presence without significant information technology effort. 'Mica' provides a structured description of consortia, studies, annotated and searchable data dictionaries, and data access request management. This 'Mica' client allows to perform data extraction for reporting purposes.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>), OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between micar versions 1.1.0 dated 2019-02-22 and 1.1.1 dated 2019-04-10

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New package dtpcrm with initial version 0.1.0
Package: dtpcrm
Type: Package
Title: Dose Transition Pathways for Continual Reassessment Method
Version: 0.1.0
Authors@R: c(person("Christina", "Yap", email = "yapchristina17@gmail.com", role = c("aut", "cre")), person("Daniel", "Slade", email = "D.Slade@bham.ac.uk", role = c("aut")), person("Kristian", "Brock", email = "k.brock@bham.ac.uk", role = c("aut")), person("Yi", "Pan", email = "ypan1988@gmail.com", role = c("aut")))
Maintainer: Christina Yap <yapchristina17@gmail.com>
Description: Provides the dose transition pathways (DTP) to project in advance the doses recommended by a model-based design for subsequent patients (stay, escalate, deescalate or stop early) using all the accumulated toxicity information; See Yap et al (2017) <doi: 10.1158/1078-0432.CCR-17-0582>. DTP can be used as a design and an operational tool and can be displayed as a table or flow diagram. The 'dtpcrm' package also provides the modified continual reassessment method (CRM) and time-to-event CRM (TITE-CRM) with added practical considerations to allow stopping early when there is sufficient evidence that the lowest dose is too toxic and/or there is a sufficient number of patients dosed at the maximum tolerated dose.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: diagram, dfcrm
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-09 14:53:44 UTC; yipan
Author: Christina Yap [aut, cre], Daniel Slade [aut], Kristian Brock [aut], Yi Pan [aut]
Repository: CRAN
Date/Publication: 2019-04-10 17:56:04 UTC

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New package cinterpolate with initial version 1.0.0
Package: cinterpolate
Title: Interpolation From C
Version: 1.0.0
Description: Simple interpolation methods designed to be used from C code. Supports constant, linear and spline interpolation. An R wrapper is included but this package is primarily designed to be used from C code using 'LinkingTo'. The spline calculations are classical cubic interpolation, e.g., Forsythe, Malcolm and Moler (1977) <ISBN: 9780131653320>.
License: MIT + file LICENSE
Encoding: UTF-8
Authors@R: person("Rich", "FitzJohn", role = c("aut", "cre"), email = "rich.fitzjohn@gmail.com")
URL: https://github.com/mrc-ide/cinterpolate
BugReports: https://github.com/mrc-ide/cinterpolate/issues
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: yes
Packaged: 2019-04-09 18:08:48 UTC; rfitzjoh
Author: Rich FitzJohn [aut, cre]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-10 17:05:44 UTC

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Package remotes updated to version 2.0.4 with previous version 2.0.3 dated 2019-04-09

Title: R Package Installation from Remote Repositories, Including 'GitHub'
Description: Download and install R packages stored in 'GitHub', 'BitBucket', or plain 'subversion' or 'git' repositories. This package provides the 'install_*' functions in 'devtools'. Indeed most of the code was copied over from 'devtools'.
Author: Jim Hester [aut, cre], Gábor Csárdi [aut], Hadley Wickham [aut], Winston Chang [aut], RStudio [cph], Martin Morgan [aut], Dan Tenenbaum [aut], Mango Solutions [cph]
Maintainer: Jim Hester <james.hester@rstudio.com>

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Package evaluator updated to version 0.4.0 with previous version 0.3.2 dated 2019-02-05

Title: Quantified Risk Assessment Toolkit
Description: An open source risk analysis toolkit based on the OpenFAIR ontology <https://www2.opengroup.org/ogsys/catalog/C13K> and risk assessment standard <https://www2.opengroup.org/ogsys/catalog/C13G>. Empowers an organization to perform a quantifiable, repeatable, and data-driven risk review.
Author: David Severski [aut, cre] (<https://orcid.org/0000-0001-7867-0459>)
Maintainer: David Severski <davidski@deadheaven.com>

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Package ChannelAttribution updated to version 1.16 with previous version 1.15 dated 2019-03-28

Title: Markov Model for the Online Multi-Channel Attribution Problem
Description: Advertisers use a variety of online marketing channels to reach consumers and they want to know the degree each channel contributes to their marketing success. This is called the online multi-channel attribution problem. This package contains a probabilistic algorithm for the attribution problem. The model uses a k-order Markov representation to identify structural correlations in the customer journey data. The package also contains three heuristic algorithms (first-touch, last-touch and linear-touch approach) for the same problem. The algorithms are implemented in C++.
Author: Davide Altomare, David Loris
Maintainer: Davide Altomare <davide.altomare@gmail.com>

Diff between ChannelAttribution versions 1.15 dated 2019-03-28 and 1.16 dated 2019-04-10

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New package bzinb with initial version 1.0.0
Package: bzinb
Type: Package
Title: Bivariate Zero-Inflated Negative Binomial Model Estimator
Version: 1.0.0
Author: Hunyong Cho, Chuwen Liu, Jinyoung Park, Di Wu
Maintainer: Hunyong Cho <hunycho@live.unc.edu>
Description: Provides a maximum likelihood estimation of Bivariate Zero-Inflated Negative Binomial (BZINB) model or the nested model parameters. Also estimates the underlying correlation of the a pair of count data. See Cho, H., Preisser, J., Liu, C., and Wu, D. (In preparation) for details.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp, BH
NeedsCompilation: yes
Packaged: 2019-04-10 05:03:29 UTC; hycho
Repository: CRAN
Date/Publication: 2019-04-10 16:56:01 UTC

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Package stemmatology updated to version 0.3.2 with previous version 0.3.1 dated 2018-05-27

Title: Stemmatological Analysis of Textual Traditions
Description: Explore and analyse the genealogy of textual or musical traditions, from their variants, with various stemmatological methods, mainly the disagreement-based algorithms suggested by Camps and Cafiero (2015) <doi:10.1484/M.LECTIO-EB.5.102565>.
Author: Jean-Baptiste Camps ; Florian Cafiero
Maintainer: Jean-Baptiste Camps <jbcamps@hotmail.com>

Diff between stemmatology versions 0.3.1 dated 2018-05-27 and 0.3.2 dated 2019-04-10

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Package khroma updated to version 1.1.1 with previous version 1.1.0 dated 2019-02-24

Title: Colour Schemes for Archaeological Data Visualization
Description: Colour schemes for archaeological data visualization. This package provides Paul Tol's colour schemes and several thematic palettes (geologic timescale, FAO soils, etc.) with scales for 'ggplot2'.
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>)
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package bWGR updated to version 1.6.2 with previous version 1.6.1 dated 2019-03-11

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, with optional kernel term and sampling techniques as described by Xavier (2017) <doi:10.1186/s12859-017-1582-3>.
Author: Alencar Xavier, William Muir, Shizhong Xu, Katy Rainey.
Maintainer: Alencar Xavier <alenxav@gmail.com>

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Package insurancerating updated to version 0.4.1 with previous version 0.4.0 dated 2019-02-06

Title: Analytic Insurance Rating Techniques
Description: Methods for insurance rating. It provides a data driven strategy for the construction of insurance tariff classes. This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>. The package also adds functionality showing additional lines for the reference categories in the levels of the coefficients in the output of a generalized linear regression analysis. In addition it implements a procedure determining the level of a factor with the largest exposure, and thereafter changing the base level of the factor to this level.
Author: Martin Haringa
Maintainer: Martin Haringa <mtharinga@gmail.com>

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Package backports updated to version 1.1.4 with previous version 1.1.3 dated 2018-12-14

Title: Reimplementations of Functions Introduced Since R-3.0.0
Description: Functions introduced or changed since R v3.0.0 are re-implemented in this package. The backports are conditionally exported in order to let R resolve the function name to either the implemented backport, or the respective base version, if available. Package developers can make use of new functions or arguments by selectively importing specific backports to support older installations.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), R Core Team [aut]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between backports versions 1.1.3 dated 2018-12-14 and 1.1.4 dated 2019-04-10

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Package deductive updated to version 0.1.3 with previous version 0.1.2 dated 2017-06-02

Title: Data Correction and Imputation Using Deductive Methods
Description: Attempt to repair inconsistencies and missing values in data records by using information from valid values and validation rules restricting the data.
Author: Mark van der Loo [cre, aut], Edwin de Jonge [aut]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

Diff between deductive versions 0.1.2 dated 2017-06-02 and 0.1.3 dated 2019-04-10

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Package Thermimage updated to version 3.1.4 with previous version 3.1.2 dated 2018-11-05

Title: Thermal Image Analysis
Description: A collection of functions and routines for inputting thermal image video files, plotting and converting binary raw data into estimates of temperature. First published 2015-03-26. Written primarily for research purposes in biological applications of thermal images. v1 included the base calculations for converting thermal image binary values to temperatures. v2 included additional equations for providing heat transfer calculations and an import function for thermal image files (v2.2.3 fixed error importing thermal image to windows OS). v3. Added numerous functions for converting thermal image, videos, rewriting and exporting. v3.1. Added new functions to convert files.
Author: Glenn J. Tattersall
Maintainer: Glenn J. Tattersall <gtatters@brocku.ca>

Diff between Thermimage versions 3.1.2 dated 2018-11-05 and 3.1.4 dated 2019-04-10

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Package ggquickeda updated to version 0.1.3 with previous version 0.1.2 dated 2019-02-24

Title: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables
Description: Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and 'table1' tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.
Author: Samer Mouksassi [aut, cre] (<https://orcid.org/0000-0002-7152-6654>), Dean Attali [aut], Benjamin Rich [aut] (provided summary stats tables tab code), Michael Sachs [aut] (provided ggkm code)
Maintainer: Samer Mouksassi <samermouksassi@gmail.com>

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Package trackeR updated to version 1.5.1 with previous version 1.5.0 dated 2019-04-05

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>

Diff between trackeR versions 1.5.0 dated 2019-04-05 and 1.5.1 dated 2019-04-10

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Package brunnermunzel updated to version 1.3.3 with previous version 1.3.2 dated 2019-03-28

Title: (Permuted) Brunner-Munzel Test
Description: Provides the functions for Brunner-Munzel test and permuted Brunner-Munzel test, which enable to use formula, matrix, and table as argument. These functions are based on Brunner and Munzel (2000) <doi:10.1002/(SICI)1521-4036(200001)42:1%3C17::AID-BIMJ17%3E3.0.CO;2-U> and Neubert and Brunner (2007) <doi:10.1016/j.csda.2006.05.024>, and are written with FORTRAN.
Author: Toshiaki Ara [aut, cre]
Maintainer: Toshiaki Ara <toshiaki.ara@gmail.com>

Diff between brunnermunzel versions 1.3.2 dated 2019-03-28 and 1.3.3 dated 2019-04-10

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Package blockForest updated to version 0.2.0 with previous version 0.1.7 dated 2018-12-30

Title: Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data
Description: A random forest variant 'block forest' ('BlockForest') tailored to the prediction of binary, survival and continuous outcomes using block-structured covariate data, for example, clinical covariates plus measurements of a certain omics data type or multi-omics data, that is, data for which measurements of different types of omics data and/or clinical data for each patient exist. Examples of different omics data types include gene expression measurements, mutation data and copy number variation measurements. Block forest are presented in Hornung & Wright (2018). The package includes four other random forest variants for multi-omics data: 'RandomBlock', 'BlockVarSel', 'VarProb', and 'SplitWeights'. These were also considered in Hornung & Wright (2018), but performed worse than block forest in their comparison study based on 20 real multi-omics data sets. Therefore, we recommend to use block forest ('BlockForest') in applications. The other random forest variants can, however, be consulted for academic purposes, for example, in the context of further methodological developments. Reference: Hornung, R. & Wright, M. N. (2018) Block Forests: random forests for blocks of clinical and omics covariate data. Technical Report, Department of Statistics, University of Munich.
Author: Roman Hornung, Marvin N. Wright
Maintainer: Marvin N. Wright <cran@wrig.de>

Diff between blockForest versions 0.1.7 dated 2018-12-30 and 0.2.0 dated 2019-04-10

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Package MetaUtility updated to version 1.2.0 with previous version 1.1.0 dated 2019-03-24

Title: Utility Functions for Conducting and Reporting Meta-Analysis
Description: Contains functions to estimate the proportion of effects stronger than a threshold of scientific importance (per Mathur & VanderWeele, 2018 [<https://onlinelibrary.wiley.com/doi/full/10.1002/sim.8057>]), to make various effect size conversions, to compute and format inference in a meta-analysis, and to scrape results from existing meta-analyses for re-analysis.
Author: Maya B. Mathur, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <mmathur@stanford.edu>

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New package TR8 with initial version 0.9.20
Package: TR8
Type: Package
Title: A Tool for Downloading Functional Traits Data for Plant Species
Version: 0.9.20
Date: 2019-04-09
Author: Gionata Bocci <boccigionata@gmail.com>
Maintainer: Gionata Bocci <boccigionata@gmail.com>
Description: Plant ecologists often need to collect "traits" data about plant species which are often scattered among various databases: TR8 contains a set of tools which take care of automatically retrieving some of those functional traits data for plant species from publicly available databases (Biolflor, The Ecological Flora of the British Isles, LEDA traitbase, Ellenberg values for Italian Flora, Mycorrhizal intensity databases, Catminat, BROT, PLANTS, Jepson Flora Project). The TR8 name, inspired by "car plates" jokes, was chosen since it both reminds of the main object of the package and is extremely short to type.
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
URL: https://github.com/GioBo/TR8
BugReports: https://github.com/GioBo/TR8/issues
Depends: R (>= 2.10), methods
Imports: RCurl, XML, plyr, reshape, rappdirs, gWidgets, gWidgetstcltk, readxl, taxize
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2019-04-09 22:13:20 UTC; gionata
Repository: CRAN
Date/Publication: 2019-04-10 08:25:25 UTC

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Package HDPenReg updated to version 0.94.6 with previous version 0.93.2 dated 2018-01-19

Title: High-Dimensional Penalized Regression
Description: Algorithms for lasso and fused-lasso problems: implementation of the lars algorithm for lasso and fusion penalization and EM-based algorithms for (logistic) lasso and fused-lasso penalization.
Author: Quentin Grimonprez [aut, cre], Serge Iovleff [aut]
Maintainer: Quentin Grimonprez <quentin.grimonprez@inria.fr>

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Package tpr updated to version 0.3-1.2 with previous version 0.3-1.1 dated 2019-04-09

Title: Temporal Process Regression
Description: Regression models for temporal process responses with time-varying coefficient.
Author: Jun Yan <jyan@stat.uconn.edu>
Maintainer: Jun Yan <jyan@stat.uconn.edu>

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Package MRFcov updated to version 1.0.37 with previous version 1.0.36 dated 2018-11-26

Title: Markov Random Fields with Additional Covariates
Description: Approximate node interaction parameters of Markov Random Fields graphical networks. Models can incorporate additional covariates, allowing users to estimate how interactions between nodes in the graph are predicted to change across covariate gradients. The general methods implemented in this package are described in Clark et al. (2018) <doi:10.1002/ecy.2221>.
Author: Nicholas J Clark [aut, cre], Konstans Wells [aut], Oscar Lindberg [aut]
Maintainer: Nicholas J Clark <nicholas.j.clark1214@gmail.com>

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Package spray updated to version 1.0-6 with previous version 1.0-5 dated 2019-03-28

Title: Sparse Arrays and Multivariate Polynomials
Description: Sparse arrays interpreted as multivariate polynomials.
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 spray versions 1.0-5 dated 2019-03-28 and 1.0-6 dated 2019-04-10

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Package mfe updated to version 0.1.2 with previous version 0.1.1 dated 2018-06-29

Title: Meta-Feature Extractor
Description: Extracts meta-features from datasets to support the design of recommendation systems based on Meta-Learning. The meta-features, also called characterization measures, are able to characterize the complexity of datasets and to provide estimates of algorithm performance. The package contains not only the standard characterization measures, but also more recent characterization measures. By making available a large set of meta-feature extraction functions, tasks like comprehensive data characterization, deep data exploration and large number of Meta-Learning based data analysis can be performed. These concepts are described in the paper: Fabio Pinto, Carlos Soares, and Joao Mendes-Moreira. Towards automatic generation of metafeatures. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pages 215 - 226, 2016, <doi:10.1007/978-3-319-31753-3_18>.
Author: Adriano Rivolli [aut, cre], Luis P. F. Garcia [aut], Andre C. P. L. F. de Carvalho [ths]
Maintainer: Adriano Rivolli <rivolli@utfpr.edu.br>

Diff between mfe versions 0.1.1 dated 2018-06-29 and 0.1.2 dated 2019-04-10

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