Mon, 11 May 2020

Package vctrs updated to version 0.3.0 with previous version 0.2.4 dated 2020-03-10

Title: Vector Helpers
Description: Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analysing function interfaces.
Author: Hadley Wickham [aut, cre], Lionel Henry [aut], Davis Vaughan [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between vctrs versions 0.2.4 dated 2020-03-10 and 0.3.0 dated 2020-05-11

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Package vader updated to version 0.1.0 with previous version 0.0.2 dated 2020-05-08

Title: Valence Aware Dictionary and sEntiment Reasoner (VADER)
Description: A lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains. Hutto & Gilbert (2014) <https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8109/8122>.
Author: Katherine Roehrick [aut, cre]
Maintainer: Katherine Roehrick <kr.gitcode@gmail.com>

Diff between vader versions 0.0.2 dated 2020-05-08 and 0.1.0 dated 2020-05-11

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Permanent link

Package tidyselect updated to version 1.1.0 with previous version 1.0.0 dated 2020-01-27

Title: Select from a Set of Strings
Description: A backend for the selecting functions of the 'tidyverse'. It makes it easy to implement select-like functions in your own packages in a way that is consistent with other 'tidyverse' interfaces for selection.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between tidyselect versions 1.0.0 dated 2020-01-27 and 1.1.0 dated 2020-05-11

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Package scales updated to version 1.1.1 with previous version 1.1.0 dated 2019-11-18

Title: Scale Functions for Visualization
Description: Graphical scales map data to aesthetics, and provide methods for automatically determining breaks and labels for axes and legends.
Author: Hadley Wickham [aut, cre], Dana Seidel [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between scales versions 1.1.0 dated 2019-11-18 and 1.1.1 dated 2020-05-11

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Package rgeolocate updated to version 1.3.0 with previous version 1.2.0 dated 2020-04-22

Title: IP Address Geolocation
Description: Connectors to online and offline sources for taking IP addresses and geolocating them to country, city, timezone and other geographic ranges. For individual connectors, see the package index.
Author: Os Keyes [aut, cre], Drew Schmidt [aut], David Robinson [ctb], Chris Davis [ctb], Bob Rudis [ctb], Maxmind, Inc. [cph], Pascal Gloor [cph], IP2Location.com [cph]
Maintainer: Os Keyes <ironholds@gmail.com>

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Package ProjectTemplate updated to version 0.9.2 with previous version 0.9.1 dated 2020-04-15

Title: Automates the Creation of New Statistical Analysis Projects
Description: Provides functions to automatically build a directory structure for a new R project. Using this structure, 'ProjectTemplate' automates data loading, preprocessing, library importing and unit testing.
Author: Aleksandar Blagotic [ctb], Diego Valle-Jones [ctb], Jeffrey Breen [ctb], Joakim Lundborg [ctb], John Myles White [aut, cph], Josh Bode [ctb], Kenton White [ctb, cre], Kirill Mueller [ctb], Matteo Redaelli [ctb], Noah Lorang [ctb], Patrick Schalk [ctb], Dominik Schneider [ctb]
Maintainer: Kenton White <jkentonwhite@gmail.com>

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Package uaparserjs updated to version 0.3.5 with previous version 0.3.1 dated 2020-04-01

Title: Parse 'User-Agent' Strings
Description: Despite there being a section in RFC 7231 <https://tools.ietf.org/html/rfc7231#section-5.5.3> defining a suggested structure for 'User-Agent' headers this data is notoriously difficult to parse consistently. Tools are provided that will take in user agent strings and return structured R objects. This is a 'V8'-backed package based on the 'ua-parser' project <https://github.com/ua-parser>.
Author: Bob Rudis [aut, cre], Lindsey Simon [aut] (uap-core), Tobie Langel [aut] (uap-core), Colman Humphrey [ctb]
Maintainer: Bob Rudis <bob@rud.is>

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Package phreeqc updated to version 3.6.3 with previous version 3.6.0 dated 2019-11-30

Title: R Interface to Geochemical Modeling Software
Description: A geochemical modeling program developed by the US Geological Survey that is designed to perform a wide variety of aqueous geochemical calculations, including speciation, batch-reaction, one-dimensional reactive-transport, and inverse geochemical calculations.
Author: S.R. Charlton, D.L. Parkhurst, and C.A.J. Appelo, with contributions from D. Gillespie for Chipmunk BASIC and S.D. Cohen, A.C. Hindmarsh, R. Serban, D. Shumaker, and A.G. Taylor for CVODE/SUNDIALS
Maintainer: S.R. Charlton <charlton@usgs.gov>

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Package tensorflow updated to version 2.2.0 with previous version 2.0.0 dated 2019-10-02

Title: R Interface to 'TensorFlow'
Description: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Author: Daniel Falbel [ctb, cph, cre], JJ Allaire [aut, cph], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Nick Golding [ctb, cph], Tomasz Kalinowski [ctb, cph], Google Inc. [ctb, cph] (Examples and Tutorials)
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package CoordinateCleaner updated to version 2.0-15 with previous version 2.0-11 dated 2019-04-24

Title: Automated Cleaning of Occurrence Records from Biological Collections
Description: Automated flagging of common spatial and temporal errors in biological and paleontological collection data, for the use in conservation, ecology and paleontology. Includes automated tests to easily flag (and exclude) records assigned to country or province centroid, the open ocean, the headquarters of the Global Biodiversity Information Facility, urban areas or the location of biodiversity institutions (museums, zoos, botanical gardens, universities). Furthermore identifies per species outlier coordinates, zero coordinates, identical latitude/longitude and invalid coordinates. Also implements an algorithm to identify data sets with a significant proportion of rounded coordinates. Especially suited for large data sets. The reference for the methodology is: Zizka et al. (2019) doi:10.1111/2041-210X.13152.
Author: Alexander Zizka [aut, cre], Daniele Silvestro [ctb], Tobias Andermann [ctb], Josue Azevedo [ctb], Camila Duarte Ritter [ctb], Daniel Edler [ctb], Harith Farooq [ctb], Andrei Herdean [ctb], Maria Ariza [ctb], Ruud Scharn [ctb], Sten Svanteson [ctb], Niklas Wengstrom [ctb], Vera Zizka [ctb], Alexandre Antonelli [ctb], Irene Steves [rev] (Irene reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/210>), Francisco Rodriguez-Sanchez [rev] (Francisco reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/210>)
Maintainer: Alexander Zizka <alexander.zizka@idiv.de>

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Permanent link

Package alakazam updated to version 1.0.1 with previous version 1.0.0 dated 2020-05-08

Title: Immunoglobulin Clonal Lineage and Diversity Analysis
Description: Provides methods for high-throughput adaptive immune receptor repertoire sequencing (AIRR-Seq; Rep-Seq) analysis. In particular, immunoglobulin (Ig) sequence lineage reconstruction, lineage topology analysis, diversity profiling, amino acid property analysis and gene usage. Citations: Gupta and Vander Heiden, et al (2017) <doi:10.1093/bioinformatics/btv359>, Stern, Yaari and Vander Heiden, et al (2014) <doi:10.1126/scitranslmed.3008879>.
Author: Namita Gupta [aut], Susanna Marquez [aut], Nima Nouri [aut], Ruoyi Jiang [aut], Julian Zhou [aut], Kenneth Hoehn [aut], Daniel Gadala-Maria [ctb], Jason Vander Heiden [cre, aut], Steven Kleinstein [aut, cph]
Maintainer: Jason Vander Heiden <jason.vanderheiden@gmail.com>

Diff between alakazam versions 1.0.0 dated 2020-05-08 and 1.0.1 dated 2020-05-11

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Package ptstem updated to version 0.0.6 with previous version 0.0.4 dated 2019-01-02

Title: Stemming Algorithms for the Portuguese Language
Description: Wraps a collection of stemming algorithms for the Portuguese Language.
Author: Daniel Falbel [aut, cre]
Maintainer: Daniel Falbel <dfalbel@gmail.com>

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Package pbv updated to version 0.4-22 with previous version 0.3-19 dated 2019-11-04

Title: Probabilities for Bivariate Normal Distribution
Description: Computes probabilities of the bivariate normal distribution in a vectorized R function (Drezner & Wesolowsky, 1990, <doi:10.1080/00949659008811236>).
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package ForeCA updated to version 0.2.6 with previous version 0.2.4 dated 2016-03-30

Title: Forecastable Component Analysis
Description: Implementation of Forecastable Component Analysis ('ForeCA'), including main algorithms and auxiliary function (summary, plotting, etc.) to apply 'ForeCA' to multivariate time series data. 'ForeCA' is a novel dimension reduction (DR) technique for temporally dependent signals. Contrary to other popular DR methods, such as 'PCA' or 'ICA', 'ForeCA' takes time dependency explicitly into account and searches for the most ''forecastable'' signal. The measure of forecastability is based on the Shannon entropy of the spectral density of the transformed signal.
Author: Georg M. Goerg [aut, cre]
Maintainer: Georg M. Goerg <im@gmge.org>

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Package BFpack updated to version 0.2.1 with previous version 0.1.1 dated 2020-02-19

Title: Flexible Bayes Factor Testing of Scientific Expectations
Description: Implementation of various default Bayes factors for testing statistical hypotheses. The package is intended for applied quantitative researchers in the social and behavioral sciences, medical research, and related fields. The Bayes factor tests can be executed for statistical models such as univariate and multivariate normal linear models, generalized linear models, special cases of linear mixed models, survival models, relational event models. Parameters that can be tested are location parameters (e.g., regression coefficients), variances (e.g., group variances), and measures of association (e.g,. bivariate correlations). The statistical underpinnings are described in Mulder, Hoijtink, and Xin (2019) <arXiv:1904.00679>, Mulder and Gelissen (2019) <arXiv:1807.05819>, Mulder (2016) <DOI:10.1016/j.jmp.2014.09.004>, Mulder and Fox (2019) <DOI:10.1214/18-BA1115>, Mulder and Fox (2013) <DOI:10.1007/s11222-011-9295-3>, Boeing-Messing, van Assen, Hofman, Hoijtink, and Mulder <DOI:10.1037/met0000116>, Hoijtink, Mulder, van Lissa, and Gu, (2018) <DOI:10.31234/osf.io/v3shc>, Gu, Mulder, and Hoijtink, (2018) <DOI:10.1111/bmsp.12110>, Hoijtink, Gu, and Mulder, (2018) <DOI:10.1111/bmsp.12145>, and Hoijtink, Gu, Mulder, and Rosseel, (2018) <DOI:10.1037/met0000187>.
Author: Joris Mulder [aut, cre], Caspar van Lissa [aut, ctb], Xin Gu [aut], Anton Olsson-Collentine [aut, ctb], Florian Boeing-Messing [aut, ctb], Donald R. Williams [aut, ctb], Jean-Paul Fox [aut, ctb], Janosch Menke [ctb], Barry Brown [ctb], James Lovato [ctb], Kathy Russell [ctb], Lapack 3.8 [ctb], Jack Dongarra [ctb], Jim Bunch [ctb], Cleve Moler [ctb], Gilbert Stewart [ctb], John Burkandt [ctb], Ashwith Rego [ctb], Alexander Godunov [ctb], Alan Miller [ctb], Jean-Pierre Moreau [ctb], The R Core Team [cph]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

Diff between BFpack versions 0.1.1 dated 2020-02-19 and 0.2.1 dated 2020-05-11

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More information about BFpack at CRAN
Permanent link

Package stuart updated to version 0.9.0 with previous version 0.8.0 dated 2019-08-05

Title: Subtests Using Algorithmic Rummaging Techniques
Description: Construct subtests from a pool of items by using ant-colony-optimization, genetic algorithms, brute force, or random sampling. Schultze (2017) <doi:10.17169/refubium-622>.
Author: Martin Schultze [aut, cre], Johanna Schüller [ctb]
Maintainer: Martin Schultze <schultze@psych.uni-frankfurt.de>

Diff between stuart versions 0.8.0 dated 2019-08-05 and 0.9.0 dated 2020-05-11

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More information about stuart at CRAN
Permanent link

New package stringfish with initial version 0.1
Package: stringfish
Title: Alt String Implementation
Version: 0.1
Authors@R: c( person("Travers", "Ching", email = "traversc@gmail.com", role = c("aut", "cre", "cph")), person("Phillip", "Hazel", role = c("ctb", "cph"), comment = "Bundled PCRE2 code"), person("Zoltan", "Herczeg", role = c("ctb", "cph"), comment = "Bundled PCRE2 code"), person("University of Cambridge", role = c("cph"), comment = "Bundled PCRE2 code"), person("Tilera Corporation", role = "cph", comment = "Stack-less Just-In-Time compiler bundled with PCRE2"))
Maintainer: Travers Ching <traversc@gmail.com>
Description: Provides an extendable and performant 'alt-string' implementation backed by 'C++' vectors and strings.
License: GPL-3
Biarch: true
Encoding: UTF-8
Depends: R (>= 3.5.0)
SystemRequirements: C++11
LinkingTo: Rcpp (>= 0.12.18.3)
Imports: Rcpp
Suggests: qs, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.0
Copyright: This package includes bundled code from the 'PCRE2' library created by Philip Hazel.
URL: https://github.com/traversc/stringfish
BugReports: https://github.com/traversc/stringfish/issues
NeedsCompilation: yes
Packaged: 2020-05-08 20:02:15 UTC; tching
Author: Travers Ching [aut, cre, cph], Phillip Hazel [ctb, cph] (Bundled PCRE2 code), Zoltan Herczeg [ctb, cph] (Bundled PCRE2 code), University of Cambridge [cph] (Bundled PCRE2 code), Tilera Corporation [cph] (Stack-less Just-In-Time compiler bundled with PCRE2)
Repository: CRAN
Date/Publication: 2020-05-11 16:30:02 UTC

More information about stringfish at CRAN
Permanent link

Package shazam updated to version 1.0.0 with previous version 0.2.3 dated 2020-02-06

Title: Immunoglobulin Somatic Hypermutation Analysis
Description: Provides a computational framework for analyzing mutations in immunoglobulin (Ig) sequences. Includes methods for Bayesian estimation of antigen-driven selection pressure, mutational load quantification, building of somatic hypermutation (SHM) models, and model-dependent distance calculations. Also includes empirically derived models of SHM for both mice and humans. Citations: Gupta and Vander Heiden, et al (2015) <doi:10.1093/bioinformatics/btv359>, Yaari, et al (2012) <doi:10.1093/nar/gks457>, Yaari, et al (2013) <doi:10.3389/fimmu.2013.00358>, Cui, et al (2016) <doi:10.4049/jimmunol.1502263>.
Author: Mohamed Uduman [aut], Namita Gupta [aut], Susanna Marquez [aut], Julian Zhou [aut], Nima Nouri [aut], Ang Cui [ctb], Jason Vander Heiden [aut, cre], Gur Yaari [aut], Steven Kleinstein [aut, cph]
Maintainer: Jason Vander Heiden <jason.vanderheiden@gmail.com>

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Package rsvg updated to version 2.0 with previous version 1.3 dated 2018-05-10

Title: Render SVG Images into PDF, PNG, PostScript, or Bitmap Arrays
Description: Renders vector-based svg images into high-quality custom-size bitmap arrays using 'librsvg2'. The resulting bitmap can be written to e.g. png, jpeg or webp format. In addition, the package can convert images directly to various formats such as pdf or postscript.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package phyclust updated to version 0.1-29 with previous version 0.1-28 dated 2019-12-08

Title: Phylogenetic Clustering (Phyloclustering)
Description: Phylogenetic clustering (phyloclustering) is an evolutionary Continuous Time Markov Chain model-based approach to identify population structure from molecular data without assuming linkage equilibrium. The package phyclust (Chen 2011) provides a convenient implementation of phyloclustering for DNA and SNP data, capable of clustering individuals into subpopulations and identifying molecular sequences representative of those subpopulations. It is designed in C for performance, interfaced with R for visualization, and incorporates other popular open source programs including ms (Hudson 2002) <doi:10.1093/bioinformatics/18.2.337>, seq-gen (Rambaut and Grassly 1997) <doi:10.1093/bioinformatics/13.3.235>, Hap-Clustering (Tzeng 2005) <doi:10.1002/gepi.20063> and PAML baseml (Yang 1997, 2007) <doi:10.1093/bioinformatics/13.5.555>, <doi:10.1093/molbev/msm088>, for simulating data, additional analyses, and searching the best tree. See the phyclust website for more information, documentations and examples.
Author: Wei-Chen Chen [aut, cre], Karin Dorman [aut], Yan-Han Chen [ctb]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package mkin updated to version 0.9.50.1 with previous version 0.9.49.11 dated 2020-04-20

Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using automatically generated C functions. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph] (<https://orcid.org/0000-0003-4371-6538>), Katrin Lindenberger [ctb], René Lehmann [ctb], Eurofins Regulatory AG [cph]
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

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Package metagam updated to version 0.1.1 with previous version 0.1.0 dated 2020-02-20

Title: Meta-Analysis of Generalized Additive Models
Description: Meta-analysis of generalized additive models and generalized additive mixed models. A typical use case is when data cannot be shared across locations, and an overall meta-analytic fit is sought. 'metagam' provides functionality for removing individual participant data from models computed using the 'mgcv' and 'gamm4' packages such that the model objects can be shared without exposing individual data. Furthermore, methods for meta-analysing these fits are provided. The implemented methods are described in Sorensen et al. (2020), <arXiv:2002.02627>, extending previous works by Schwartz and Zanobetti (2000) and Crippa et al. (2018) <doi:10.6000/1929-6029.2018.07.02.1>.
Author: Oystein Sorensen [aut, cre] (<https://orcid.org/0000-0003-0724-3542>), Andreas M. Brandmaier [aut] (<https://orcid.org/0000-0001-8765-6982>), Athanasia Mo Mowinckel [aut] (<https://orcid.org/0000-0002-5756-0223>)
Maintainer: Oystein Sorensen <oystein.sorensen@psykologi.uio.no>

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Package lidR updated to version 2.2.5 with previous version 2.2.4 dated 2020-04-23

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015 for lassnags), Bourdon Jean-François [ctb] (Implemented sensor_tracking)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between lidR versions 2.2.4 dated 2020-04-23 and 2.2.5 dated 2020-05-11

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Package imager updated to version 0.42.3 with previous version 0.42.1 dated 2020-02-17

Title: Image Processing Library Based on 'CImg'
Description: Fast image processing for images in up to 4 dimensions (two spatial dimensions, one time/depth dimension, one colour dimension). Provides most traditional image processing tools (filtering, morphology, transformations, etc.) as well as various functions for easily analysing image data using R. The package wraps 'CImg', <http://cimg.eu>, a simple, modern C++ library for image processing.
Author: Simon Barthelme [aut], David Tschumperle [ctb], Jan Wijffels [ctb], Haz Edine Assemlal [ctb], Shota Ochi [cre]
Maintainer: Shota Ochi <shotaochi1990@gmail.com>

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Package factorEx updated to version 1.0.1 with previous version 1.0.0 dated 2019-10-01

Title: Design and Analysis for Factorial Experiments
Description: Provides design-based and model-based estimators for the population average marginal component effects in general factorial experiments, including conjoint analysis. The package also implements a series of recommendations offered in de la Cuesta, Egami, and Imai (2019+), and Egami and Imai (2019) <doi:10.1080/01621459.2018.1476246>.
Author: Naoki Egami, Brandon de la Cuesta, Kosuke Imai
Maintainer: Naoki Egami <naoki.egami5@gmail.com>

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New package wk with initial version 0.2.1
Package: wk
Title: Lightweight Well-Known Geometry Parsing
Version: 0.2.1
Authors@R: c( person(given = "Dewey", family = "Dunnington", role = c("aut", "cre"), email = "dewey@fishandwhistle.net", comment = c(ORCID = "0000-0002-9415-4582")), person(given = "Edzer", family = "Pebesma", role = c("aut"), email = "edzer.pebesma@uni-muenster.de", comment = c(ORCID = "0000-0001-8049-7069")), person("Refractions Research Inc.", role = "cph"), person("Vivid Solutions Inc.", role = "cph") )
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>
Description: Provides a minimal R and C++ API for parsing well-known binary and well-known text representation of geometries to and from R-native formats. Well-known binary is compact and fast to parse; well-known text is human-readable and is useful for writing tests. These formats are only useful in R if the information they contain can be accessed in R, for which high-performance functions are provided here.
License: LGPL (>= 2.1)
Copyright: file COPYRIGHTS
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
LinkingTo: Rcpp
Imports: Rcpp
Suggests: testthat
URL: https://github.com/paleolimbot/wk
BugReports: https://github.com/paleolimbot/wk/issues
NeedsCompilation: yes
Packaged: 2020-05-08 16:29:50 UTC; dewey
Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>), Edzer Pebesma [aut] (<https://orcid.org/0000-0001-8049-7069>), Refractions Research Inc. [cph], Vivid Solutions Inc. [cph]
Repository: CRAN
Date/Publication: 2020-05-11 15:50:02 UTC

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New package rties with initial version 5.0.0
Package: rties
Title: Modeling Interpersonal Dynamics
Version: 5.0.0
Authors@R: c(person("Emily", "Butler", email = "emily.a.butler@gmail.com", role = c("aut", "cre")), person("Steven Boker", role="ctb"))
Maintainer: Emily Butler <emily.a.butler@gmail.com>
Description: The name of this package grew out of our research on temporal interpersonal emotion systems (TIES), hence 'rties'. It provides tools for using a set of models to investigate temporal processes in bivariate (e.g., dyadic) systems. The general approach is to model, one dyad at a time, the dynamics of a variable that is assessed repeatedly from both partners, extract the parameter estimates for each dyad, and then use those parameter estimates as input to a latent profile analysis to extract groups of dyads with qualitatively distinct dynamics. Finally, the profile memberships can be used to either predict, or be predicted by, another variable of interest. Currently, 2 models are supported: 1) inertia-coordination, and 2) a coupled-oscillator. Extended documentation is provided in vignettes. Theoretical background can be found in Butler (2011) <doi:10.1177/1088868311411164> and Butler & Barnard (2019) <doi:10.1097/PSY.0000000000000703>.
Depends: R (>= 2.10)
Imports: DataCombine, DescTools, deSolve, dplyr, ggplot2, gridExtra, interactions, lattice, lme4, MASS, mclust, nlme, nnet, plyr, zoo
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: devtools, knitr, rmarkdown, sjmisc, sjPlot
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-08 16:25:29 UTC; emily
Author: Emily Butler [aut, cre], Steven Boker [ctb]
Repository: CRAN
Date/Publication: 2020-05-11 16:00:02 UTC

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New package rgenius with initial version 0.1.0
Package: rgenius
Type: Package
Date: 2020-05-02
Title: Get 'Genius' API Lyrics
Version: 0.1.0
Author: Alberto Almuiña <albertogonzalezalmuinha@gmail.com>
Maintainer: Alberto Almuiña <albertogonzalezalmuinha@gmail.com>
Description: Download the lyrics of your favorite songs in text and table formats. Also search for related songs or song information. More information: <https://docs.genius.com/> .
URL: https://github.com/AlbertoAlmuinha/rgenius
BugReports: https://github.com/AlbertoAlmuinha/rgenius/issues
Imports: dplyr, purrr, stringr, httr, rvest, foreach, tibble, parallel, doParallel
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-05-08 12:40:14 UTC; albgonzal
Repository: CRAN
Date/Publication: 2020-05-11 15:10:02 UTC

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New package r3PG with initial version 0.1.0
Package: r3PG
Type: Package
Title: Simulating Forest Growth using the 3-PG Model
Description: Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-PG) model written in Fortran. The r3PG serves as a flexible and easy-to-use interface for the 3-PGpjs (monospecific, evenaged and evergreen forests) described in Landsberg & Waring (1997) <doi:10.1016/S0378-1127(97)00026-1> and the 3-PGmix (deciduous, uneven-aged or mixed-species forests) described in Forrester & Tang (2016) <doi:10.1016/j.ecolmodel.2015.07.010>.
Date: 2020-04-29
Version: 0.1.0
Authors@R: c( person("Volodymyr", "Trotsiuk", email = "vtrotsiuk@gmail.com", role = c("aut", 'cre'), comment=c(ORCID="0000-0002-8363-656X")), person("Florian", "Hartig", email = "florian.hartig@biologie.uni-regensburg.de", role = c("aut"), comment=c(ORCID="0000-0002-6255-9059")), person("David", "Forrester", email = "david.forrester@wsl.ch", role = c("aut")) )
License: GPL-3
Depends: R (>= 3.5.0)
Imports:
Suggests: knitr (>= 1.15.1), rmarkdown (>= 1.3), R.rsp (>= 0.40.0), testthat (>= 1.0.2), roxygen2, BayesianTools, sensitivity, dplyr, ggplot2
VignetteBuilder: R.rsp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2.9000
URL: https://github.com/trotsiuk/r3PG
BugReports: https://github.com/trotsiuk/r3PG/issues
NeedsCompilation: yes
Packaged: 2020-05-08 09:30:44 UTC; trotsiuk
Author: Volodymyr Trotsiuk [aut, cre] (<https://orcid.org/0000-0002-8363-656X>), Florian Hartig [aut] (<https://orcid.org/0000-0002-6255-9059>), David Forrester [aut]
Maintainer: Volodymyr Trotsiuk <vtrotsiuk@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-11 15:10:06 UTC

More information about r3PG at CRAN
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Package pivottabler updated to version 1.4.0 with previous version 1.3.1 dated 2020-04-01

Title: Create Pivot Tables
Description: Create regular pivot tables with just a few lines of R. More complex pivot tables can also be created, e.g. pivot tables with irregular layouts, multiple calculations and/or derived calculations based on multiple data frames. Pivot tables are constructed using R only and can be written to a range of output formats (plain text, 'HTML', 'Latex' and 'Excel'), including with styling/formatting.
Author: Christopher Bailiss [aut, cre]
Maintainer: Christopher Bailiss <cbailiss@gmail.com>

Diff between pivottabler versions 1.3.1 dated 2020-04-01 and 1.4.0 dated 2020-05-11

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More information about pivottabler at CRAN
Permanent link

Package genpathmox updated to version 0.4 with previous version 0.3 dated 2017-05-31

Title: Generalized Pathmox Approach Segmentation Tree Analysis
Description: Provides a very interesting solution for handling segmentation variables in complex statistical methodology. It contains en extended version of the "Pathmox" algorithm (Lamberti, Sanchez and Aluja,(2016)<doi:10.1002/asmb.2168>) in the context of Partial Least Squares Path Modeling including the F-block test (to detect the responsible latent endogenous equations of the difference), the F-coefficient (to detect the path coefficients responsible of the difference) and the "invariance" test (to realize a comparison between the sub-models' latent variables). Furthermore, the package contains a generalized version of the "Pathmox" algorithm to approach different methodologies: linear regression and least absolute regression models.
Author: Giuseppe Lamberti [aut, cre]
Maintainer: Giuseppe Lamberti <giuseppelamb@hotmail.com>

Diff between genpathmox versions 0.3 dated 2017-05-31 and 0.4 dated 2020-05-11

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New package ibb with initial version 0.0.1
Package: ibb
Title: R Wrapper for Istanbul Municipality Open Data Portal
Version: 0.0.1
Authors@R: person(given = "Berk", family = "Orbay", email= "berk.orbay@algopoly.com", role = c("aut", "cre"))
Description: Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: İstanbul Büyükşehir Belediyesi Açık Veri Portalı) at <https://data.ibb.gov.tr/en/>.
License: MIT + file LICENSE
URL: https://github.com/berkorbay/ibb
BugReports: https://github.com/berkorbay/ibb/issues
Encoding: UTF-8
LazyData: true
Imports: jsonlite, httr, xml2, dplyr
Depends: R (>= 3.4)
RoxygenNote: 6.1.1
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2020-05-10 20:43:46 UTC; berkorbay
Author: Berk Orbay [aut, cre]
Maintainer: Berk Orbay <berk.orbay@algopoly.com>
Repository: CRAN
Date/Publication: 2020-05-11 15:20:10 UTC

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Package EpiReport updated to version 0.1.1 with previous version 0.1.0 dated 2018-11-14

Title: Epidemiological Report
Description: Drafting an epidemiological report in 'Microsoft Word' format for a given disease, similar to the Annual Epidemiological Reports published by the European Centre for Disease Prevention and Control. Through standalone functions, it is specifically designed to generate each disease specific output presented in these reports and includes: - Table with the distribution of cases by Member State over the last five years; - Seasonality plot with the distribution of cases at the European Union / European Economic Area level, by month, over the past five years; - Trend plot with the trend and number of cases at the European Union / European Economic Area level, by month, over the past five years; - Age and gender bar graph with the distribution of cases at the European Union / European Economic Area level. Two types of datasets can be used: - The default dataset of salmonella 2012-2016 data; - Any dataset specified as described in the vignette.
Author: Lore Merdrignac [aut, ctr, cre] (Author of the package and original code), Tommi Karki [aut, fnd], Esther Kissling [aut, ctr], Joana Gomes Dias [aut, fnd] (Project manager)
Maintainer: Lore Merdrignac <l.merdrignac@epiconcept.fr>

Diff between EpiReport versions 0.1.0 dated 2018-11-14 and 0.1.1 dated 2020-05-11

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New package Compack with initial version 0.1.0
Package: Compack
Title: Regression with Compositional Covariates
Version: 0.1.0
Date: 2020-04-21
Authors@R: c( person(given = "Zhe", family = "Sun", email = "zhe.sun@uconn.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8699-8235") ), person(given = "Kun", family = "Chen", email = "kun.chen@uconn.edu", role = c("aut"), comment = c(ORCID = "0000-0003-3579-5467")) )
Description: Regression methodologies with compositional covariates, including (1) sparse log-contrast regression with compositional covariates proposed by Lin et al. (2014) <doi:10.1093/biomet/asu031>, and (2) sparse log-contrast regression with functional compositional predictors proposed by Sun et al. (2020) <arXiv:1808.02403>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.4.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, MASS, plyr, splines, fda, orthogonalsplinebasis, methods
Suggests: knitr, rmarkdown
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2020-05-08 18:53:27 UTC; zjiji
Author: Zhe Sun [aut, cre] (<https://orcid.org/0000-0001-8699-8235>), Kun Chen [aut] (<https://orcid.org/0000-0003-3579-5467>)
Maintainer: Zhe Sun <zhe.sun@uconn.edu>
Repository: CRAN
Date/Publication: 2020-05-11 16:00:11 UTC

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New package chromseq with initial version 0.1.3
Package: chromseq
Type: Package
Title: Split Chromosome 'Fasta' File
Description: Chromosome files in the 'Fasta' format usually contain large sequences like human genome. Sometimes users have to split these chromosomes into different files according to their chromosome number. The 'chromseq' can help to handle this. So the selected chromosome sequence can be used for downstream analysis like motif finding. Howard Y. Chang(2019) <doi:10.1038/s41587-019-0206-z>.
Version: 0.1.3
Authors@R: person(given = "Shaoqian", family = "Ma", email = "897341109@qq.com", role = c("aut", "cre"))
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
URL: https://github.com/MSQ-123/chromseq
BugReports: https://github.com/MSQ-123/chromseq/issues
Depends: R (>= 2.10)
Imports: utils, base
Packaged: 2020-05-08 13:06:01 UTC; lenovo
Author: Shaoqian Ma [aut, cre]
Maintainer: Shaoqian Ma <897341109@qq.com>
Repository: CRAN
Date/Publication: 2020-05-11 15:20:17 UTC

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Package uFTIR updated to version 0.1.2 with previous version 0.1.1 dated 2020-03-11

Title: Process and Analyze Agilent Cary 620 FTIR Microscope Images
Description: A set of tools to read, process, and summarize Agilent Cary 620 uFTIR Microscope hyperspectral images primarily intended for microplastic analysis.
Author: Fabio Corradini [aut, cre] (<https://orcid.org/0000-0001-9696-7643>)
Maintainer: Fabio Corradini <fabio.corradini@inia.cl>

Diff between uFTIR versions 0.1.1 dated 2020-03-11 and 0.1.2 dated 2020-05-11

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Package rslp updated to version 0.2.0 with previous version 0.1.0 dated 2016-08-31

Title: A Stemming Algorithm for the Portuguese Language
Description: Implements the "Stemming Algorithm for the Portuguese Language" <DOI:10.1109/SPIRE.2001.10024>.
Author: Daniel Falbel [aut, cre]
Maintainer: Daniel Falbel <dfalbel@gmail.com>

Diff between rslp versions 0.1.0 dated 2016-08-31 and 0.2.0 dated 2020-05-11

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New package norm2 with initial version 2.0.3
Package: norm2
Type: Package
Title: Analysis of Incomplete Multivariate Data under a Normal Model
Version: 2.0.3
Date: 2020-04-23
Author: Joseph L. Schafer <Joseph.L.Schafer@census.gov>
Maintainer: Joseph L. Schafer <Joseph.L.Schafer@census.gov>
Description: Functions for parameter estimation, Bayesian posterior simulation and multiple imputation from incomplete multivariate data under a normal model.
Depends: R (>= 3.1.0)
Imports: stats
License: GPL-3
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2020-04-23 13:51:37 UTC; schaf310
Repository: CRAN
Date/Publication: 2020-05-11 14:50:02 UTC

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New package FESta with initial version 1.0.0
Package: FESta
Type: Package
Title: Fishing Effort Standardisation
Version: 1.0.0
Authors@R: c( person("Eldho", "Varghese", email = "eldhoiasri@gmail.com" , role = c("aut", "cre")), person("Sathianandan", "T V", email = "tvsedpl@gmail.com" , role = "aut"), person("Jayasankar", "J", email = "jjsankar@gmail.com" , role = "aut"), person("Reshma", "Gills", email = "reshma1818@gmail.com" , role = "ctb") )
Maintainer: Eldho Varghese <eldhoiasri@gmail.com>
Imports: graphics, stats
Description: Original idea was presented in the reference paper. Varghese et al. (2020, 74(1):35-42) "Bayesian State-space Implementation of Schaefer Production Model for Assessment of Stock Status for Multi-gear Fishery". Marine fisheries governance and management practices are very essential to ensure the sustainability of the marine resources. A widely accepted resource management strategy towards this is to derive sustainable fish harvest levels based on the status of marine fish stock. Various fish stock assessment models that describe the biomass dynamics using time series data on fish catch and fishing effort are generally used for this purpose. In the scenario of complex multi-species marine fishery in which different species are caught by a number of fishing gears and each gear harvests a number of species make it difficult to obtain the fishing effort corresponding to each fish species. Since the capacity of the gears varies, the effort made to catch a resource cannot be considered as the sum of efforts expended by different fishing gears. This necessitates standardisation of fishing effort in unit base.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Author: Eldho Varghese [aut, cre], Sathianandan T V [aut], Jayasankar J [aut], Reshma Gills [ctb]
Repository: CRAN
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-08 07:53:35 UTC; RESHMA
Date/Publication: 2020-05-11 14:50:06 UTC

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Package ampir updated to version 1.0.0 with previous version 0.1.0 dated 2019-12-06

Title: Predict Antimicrobial Peptides
Description: A toolkit to predict antimicrobial peptides from protein sequences on a genome-wide scale. It incorporates two support vector machine models ("precursor" and "mature") trained on publicly available antimicrobial peptide data using calculated physico-chemical and compositional sequence properties described in Meher et al. (2017) <doi:10.1038/srep42362>. In order to support genome-wide analyses, these models are designed to accept any type of protein as input and calculation of compositional properties has been optimised for high-throughput use. For details see Fingerhut et al. 2020 <doi:10.1101/2020.05.07.082412>.
Author: Legana Fingerhut [aut, cre] (<https://orcid.org/0000-0002-2482-5336>), Ira Cooke [aut] (<https://orcid.org/0000-0001-6520-1397>), Jinlong Zhang [ctb] (R/read_faa.R), Nan Xiao [ctb] (R/calc_pseudo_comp.R)
Maintainer: Legana Fingerhut <legana.fingerhut@my.jcu.edu.au>

Diff between ampir versions 0.1.0 dated 2019-12-06 and 1.0.0 dated 2020-05-11

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Package RODBC updated to version 1.3-17 with previous version 1.3-16 dated 2019-09-03

Title: ODBC Database Access
Description: An ODBC database interface.
Author: Brian Ripley [aut, cre], Michael Lapsley [aut] (1999 to Oct 2002)
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

Diff between RODBC versions 1.3-16 dated 2019-09-03 and 1.3-17 dated 2020-05-11

 ChangeLog          |   37 +++++++++++++++++--------------------
 DESCRIPTION        |   12 ++++++------
 MD5                |   12 ++++++------
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 build/vignette.rds |binary
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 7 files changed, 33 insertions(+), 36 deletions(-)

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Permanent link

New package xml2relational with initial version 0.1.0
Package: xml2relational
Type: Package
Title: Converting XML Documents into Relational Data Models
Description: Import an XML document with nested object structures and convert it into a relational data model. The result is a set of R dataframes with foreign key relationships. The data model and the data can be exported as SQL code of different SQL flavors.
Version: 0.1.0
Authors@R: person("Joachim", "Zuckarelli", role = c("aut", "cre"), email = "joachim@zuckarelli.de", comment = c(ORCID="0000-0002-9280-3016"))
Maintainer: Joachim Zuckarelli <joachim@zuckarelli.de>
Depends: R (>= 3.5.0)
License: GPL-3
Imports: xml2, stringr, tidyr, fs, stats, utils, lubridate, rlang
Repository: CRAN
BugReports: https://github.com/jsugarelli/xml2relational/issues
URL: https://github.com/jsugarelli/xml2relational/
Encoding: UTF-8
ByteCompile: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-07 16:02:57 UTC; Joachim
Author: Joachim Zuckarelli [aut, cre] (<https://orcid.org/0000-0002-9280-3016>)
Date/Publication: 2020-05-11 12:40:03 UTC

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New package sistec with initial version 0.0.2
Package: sistec
Type: Package
Title: Tools to Analyze 'Sistec' Datasets
Version: 0.0.2
Authors@R: c( person("Samuel", "Macêdo", email = "samuelmacedo@recife.ifpe.edu.br", role = c("aut", "cre")), person("Carlos", "Patrício", email = "carlos.patricio@vitoria.ifpe.edu.br", role = "aut"), person("Cássio", "Santos", email = "cassiosantos@recife.ifpe.edu.br", role = "aut"), person("Clécio", "Santos", email = "cleciogsantos@vitoria.ifpe.edu.br", role = "aut") )
Maintainer: Samuel Macêdo <samuelmacedo@recife.ifpe.edu.br>
Description: The Brazilian system for diploma registration and validation on technical and superior courses are managing by 'Sistec' platform, see <https://sistec.mec.gov.br/>. This package provides tools for Brazilian institutions to update the student's registration and make data analysis about their situation, retention and drop out.
License: GPL (>= 2)
LazyData: true
URL: https://github.com/r-ifpe/sistec
BugReports: https://github.com/r-ifpe/sistec/issues
Depends: R (>= 3.6)
Imports: dplyr, openxlsx, rlang, shiny, stringr, tcltk, utils
RoxygenNote: 7.1.0
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-05-07 19:36:47 UTC; dmmad
Author: Samuel Macêdo [aut, cre], Carlos Patrício [aut], Cássio Santos [aut], Clécio Santos [aut]
Repository: CRAN
Date/Publication: 2020-05-11 12:50:03 UTC

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Package sapfluxnetr updated to version 0.1.0 with previous version 0.0.7 dated 2019-05-01

Title: Working with 'Sapfluxnet' Project Data
Description: Access, modify, aggregate and plot data from the 'Sapfluxnet' project (<http://sapfluxnet.creaf.cat>), the first global database of sap flow measurements.
Author: Victor Granda [aut, cre] (<https://orcid.org/0000-0002-0469-1991>), Rafael Poyatos [aut] (<https://orcid.org/0000-0003-0521-2523>), Victor Flo [aut] (<https://orcid.org/0000-0003-1908-4577>), Jacob Nelson [ctb] (<https://orcid.org/0000-0002-4663-2420>), Sapfluxnet Core Team [cph]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

Diff between sapfluxnetr versions 0.0.7 dated 2019-05-01 and 0.1.0 dated 2020-05-11

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 man/ARG_MAZ.Rd                            |    4 
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 tests/testthat/test-sfn_dplyr_methods.R   |    2 
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 66 files changed, 2042 insertions(+), 1864 deletions(-)

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New package roben with initial version 0.1.0
Package: roben
Type: Package
Title: Robust Bayesian Variable Selection for Gene-Environment Interactions
Version: 0.1.0
Author: Jie Ren, Fei Zhou, Xiaoxi Li, Cen Wu
Maintainer: Jie Ren <jieren@ksu.edu>
Description: Gene-environment (G×E) interactions have important implications to elucidate the etiology of complex diseases beyond the main genetic and environmental effects. Outliers and data contamination in disease phenotypes of G×E studies have been commonly encountered, leading to the development of a broad spectrum of robust penalization methods. Nevertheless, within the Bayesian framework, the issue has not been taken care of in existing studies. We develop a robust Bayesian variable selection method for G×E interaction studies. The proposed Bayesian method can effectively accommodate heavy-tailed errors and outliers in the response variable while conducting variable selection by accounting for structural sparsity. In particular, the spike-and-slab priors have been imposed on both individual and group levels to identify important main and interaction effects. An efficient Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in C++.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, glmnet, stats
RoxygenNote: 7.1.0
Suggests: testthat (>= 2.1.0), covr
URL: https://github.com/jrhub/roben
BugReports: https://github.com/jrhub/roben/issues
NeedsCompilation: yes
Packaged: 2020-05-07 17:21:49 UTC; JieRen
Repository: CRAN
Date/Publication: 2020-05-11 12:30:03 UTC

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New package ORION with initial version 1.0
Package: ORION
Type: Package
Title: Ordinal Relations
Version: 1.0
Date: 2020-04-28
Author: L Lausser, LM Schaefer, HA Kestler
Maintainer: HA Kestler <hans.kestler@uni-ulm.de>
Description: Functions to handle ordinal relations reflected within the feature space. Those function allow to search for ordinal relations in multi-class datasets. One can check whether proposed relations are reflected in a specific feature representation. Furthermore, it provides functions to filter, organize and further analyze those ordinal relations.
License: GPL-2
LazyLoad: yes
Packaged: 2020-05-07 17:36:23 UTC; julian_schwab
Imports: e1071,TunePareto, knitr, rmarkdown, doParallel, igraph, foreach, randomForest
NeedsCompilation: yes
VignetteBuilder: knitr
RoxygenNote: 7.1.0
Repository: CRAN
Date/Publication: 2020-05-11 12:50:17 UTC

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New package guiplot with initial version 0.1.0
Package: guiplot
Type: Package
Title: User-Friendly GUI Plotting Tools
Version: 0.1.0
Author: Fu Yongchao <3212418315@qq.com>
Maintainer: Fu Yongchao <3212418315@qq.com>
Description: Create a user-friendly plotting GUI for R. In addition, one purpose of creating the R package is to facilitate third-party software to call R for drawing, for example, 'Phoenix WinNonlin' software calls R to draw the drug concentration versus time curve.
URL: https://s0521.github.io/guiplot/about/
Imports: shiny(>= 1.0.0), ggplot2 (>= 3.0.0), svglite, DT, rlang (>= 0.3.1),stats, magrittr,R6
License: MIT + file LICENSE
Depends: R (>= 3.6.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-05-07 16:14:44 UTC; HASEE
Repository: CRAN
Date/Publication: 2020-05-11 12:30:07 UTC

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New package grizbayr with initial version 1.2.1
Package: grizbayr
Type: Package
Title: Bayesian Inference for A|B and Bandit Marketing Tests
Version: 1.2.1
Author: Ryan Angi
Maintainer: Ryan Angi <rangi@redventures.com>
Description: Uses simple Bayesian conjugate prior update rules to calculate the win probability of each option, value remaining in the test, and percent lift over the baseline for various marketing objectives. References: Fink, Daniel (1997) "A Compendium of Conjugate Priors" <doi:10.1.1.157/5540>. Stucchio, Chris (2015) "Bayesian A/B Testing at VWO" <http://cdn2.hubspot.net/hubfs/310840/VWO_SmartStats_technical_whitepaper.pdf>.
Depends: R (>= 2.10)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: purrr, dplyr, tidyr, magrittr, tibble, rlang
Suggests: spelling, knitr, testthat (>= 2.1.0), rmarkdown
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-07 16:10:46 UTC; rangi
Repository: CRAN
Date/Publication: 2020-05-11 12:30:10 UTC

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Package gllvm updated to version 1.2.2 with previous version 1.2.1 dated 2020-01-23

Title: Generalized Linear Latent Variable Models
Description: Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either Laplace approximation method or variational approximation method implemented via TMB (Kristensen et al., (2016), <doi:10.18637/jss.v070.i05>). For details see Niku et al. (2019a) <doi:10.1371/journal.pone.0216129> and Niku et al. (2019b) <doi:10.1111/2041-210X.13303>.
Author: Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Sara Taskinen, David I. Warton
Maintainer: Jenni Niku <jenni.m.e.niku@jyu.fi>

Diff between gllvm versions 1.2.1 dated 2020-01-23 and 1.2.2 dated 2020-05-11

 DESCRIPTION                 |   10 -
 MD5                         |   60 ++++-----
 NAMESPACE                   |    4 
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 R/getResidualCov.gllvm.R    |    3 
 R/gllvm.R                   |   44 ++++--
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 31 files changed, 1067 insertions(+), 614 deletions(-)

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New package rosr with initial version 0.0.10
Package: rosr
Version: 0.0.10
Date: 2020-05-11
Title: Create Reproducible Research Projects
Authors@R: c( person("Peng", "Zhao", role = c("aut", "cre"), email = "pzhao@pzhao.net") )
Maintainer: Peng Zhao <pzhao@pzhao.net>
Depends: R (>= 3.1.0)
Imports: rmarkdown, bookdown, blogdown, tinytex, mindr, bookdownplus, rstudioapi, htmlwidgets, shiny, devtools, clipr, knitr
Suggests:
Description: Creates reproducible academic projects with integrated academic elements, including datasets, references, codes, images, manuscripts, dissertations, slides and so on. These elements are well connected so that they can be easily synchronized and updated.
License: GPL-3 | file LICENSE
URL: https://github.com/pzhaonet/rosr
BugReports: https://github.com/pzhaonet/rosr/issues
SystemRequirements: pandoc (>= 2.0; https://pandoc.org)
RoxygenNote: 7.1.0
NeedsCompilation: no
LazyData: true
Packaged: 2020-05-11 02:36:07 UTC; dapen
Author: Peng Zhao [aut, cre]
Repository: CRAN
Date/Publication: 2020-05-11 11:10:02 UTC

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New package roptions with initial version 1.0.3
Package: roptions
Title: Option Strategies and Valuation
Version: 1.0.3
Authors@R: person(given = "Anurag", family = "Agrawal", role = c("aut", "cre"), email = "agrawalanurag1999@gmail.com", comment = c(ORCID = "0000-0003-2272-8273"))
Description: Collection of tools to develop options strategies, value option contracts using the Black-Scholes-Merten option pricing model and calculate the option Greeks. Hull, John C. "Options, Futures, and Other Derivatives" (1997, ISBN:0-13-601589-1). Fischer Black, Myron Scholes (1973) "The Pricing of Options and Corporate Liabilities" <doi:10.1086/260062>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: purrr, ggplot2, plotly, stats
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-05-07 11:07:40 UTC; Kanhaiiya Agrawal
Author: Anurag Agrawal [aut, cre] (<https://orcid.org/0000-0003-2272-8273>)
Maintainer: Anurag Agrawal <agrawalanurag1999@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-11 11:10:06 UTC

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Package RobMixReg updated to version 0.2.0 with previous version 0.1.0 dated 2020-03-25

Title: Robust Mixture Regression
Description: Finite mixture models are a popular technique for modelling unobserved heterogeneity or to approximate general distribution functions in a semi-parametric way. They are used in a lot of different areas such as astronomy, biology, economics, marketing or medicine. This package is the implementation of popular robust mixture regression methods based on different algorithms including: fleximix, finite mixture models and latent class regression; CTLERob, component-wise adaptive trimming likelihood estimation; mixbi, bi-square estimation; mixL, Laplacian distribution; mixt, t-distribution; TLE, trimmed likelihood estimation. The implemented algorithms includes: CTLERob stands for Component-wise adaptive Trimming Likelihood Estimation based mixture regression; mixbi stands for mixture regression based on bi-square estimation; mixLstands for mixture regression based on Laplacian distribution; TLE stands for Trimmed Likelihood Estimation based mixture regression. For more detail of the algorithms, please refer to below references. Reference: Chun Yu, Weixin Yao, Kun Chen (2017) <doi:10.1002/cjs.11310>. NeyKov N, Filzmoser P, Dimova R et al. (2007) <doi:10.1016/j.csda.2006.12.024>. Bai X, Yao W. Boyer JE (2012) <doi:10.1016/j.csda.2012.01.016>. Wennen Chang, Sha Cao, Chi Zhang (2019) <doi:10.1101/426593>.
Author: Sha Cao [aut, cph, ths], Wennan Chang [aut, cre], Chi Zhang [aut, ctb, ths]
Maintainer: Wennan Chang <wnchang@iu.edu>

Diff between RobMixReg versions 0.1.0 dated 2020-03-25 and 0.2.0 dated 2020-05-11

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 15 files changed, 73 insertions(+), 42 deletions(-)

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New package nixmass with initial version 1.0-1
Package: nixmass
Version: 1.0-1
Date: 2020-04-29
Title: Snow Water Equivalent Modeling with the 'Delta.snow' Model and Empirical Regression Models
Authors@R: c(person("Harald", "Schellander", role = c("aut", "cre"), email = "harald.schellander@zamg.ac.at"), person("Michael", "Winkler", role = c("ctb")))
Maintainer: Harald Schellander <harald.schellander@zamg.ac.at>
Depends: R (>= 3.5.0)
Imports: graphics,stats,zoo,lubridate,grDevices
LazyData: true
Description: Snow water equivalent is modeled with the process based 'delta.snow' model and empirical regression models using relationships between density and diverse at-site parameters. The methods are described in Winkler et al. (2020) <doi:10.5194/hess-2020-152>, Guyennon et al. (2019) <doi:10.1016/j.coldregions.2019.102859>, Pistocchi (2016) <doi:10.1016/j.ejrh.2016.03.004>, Jonas et al. (2009) <doi:10.1016/j.jhydrol.2009.09.021> and Sturm et al. (2010) <doi:10.1175/2010JHM1202.1>.
License: GPL-2 | GPL-3
NeedsCompilation: no
Packaged: 2020-05-07 12:51:36 UTC; hschellander
Author: Harald Schellander [aut, cre], Michael Winkler [ctb]
Repository: CRAN
Date/Publication: 2020-05-11 11:40:02 UTC

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Package heemod updated to version 0.13.0 with previous version 0.12.0 dated 2020-04-14

Title: Markov Models for Health Economic Evaluations
Description: An implementation of the modelling and reporting features described in reference textbook and guidelines (Briggs, Andrew, et al. Decision Modelling for Health Economic Evaluation. Oxford Univ. Press, 2011; Siebert, U. et al. State-Transition Modeling. Medical Decision Making 32, 690-700 (2012).): deterministic and probabilistic sensitivity analysis, heterogeneity analysis, time dependency on state-time and model-time (semi-Markov and non-homogeneous Markov models), etc.
Author: Kevin Zarca [aut, cre], Antoine Filipovic-Pierucci [aut], Matthew Wiener [ctb], Zdenek Kabat [ctb], Vojtech Filipec [ctb], Jordan Amdahl [ctb], Yonatan Carranza Alarcon [ctb], Vince Daniels [ctb]
Maintainer: Kevin Zarca <kevin.zarca@gmail.com>

Diff between heemod versions 0.12.0 dated 2020-04-14 and 0.13.0 dated 2020-05-11

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New package ggstudent with initial version 0.1.1-1
Package: ggstudent
Type: Package
Date: 2020-05-05
Title: Continuous Confidence Interval Plots using t-Distribution
Version: 0.1.1-1
Authors@R: person(given = "Jouni", family = "Helske", role = c("aut", "cre"), email = "jouni.helske@iki.fi", comment = c(ORCID = "0000-0001-7130-793X"))
License: GPL (>= 2)
Description: Provides an extension to 'ggplot2' (Wickham, 2016, <doi:10.1007/978-3-319-24277-4>) for creating two types of continuous confidence interval plots (Violin CI and Gradient CI plots), typically for the sample mean. These plots contain multiple user-defined confidence areas with varying colours, defined by the underlying t-distribution used to compute standard confidence intervals for the mean of the normal distribution when the variance is unknown. Two types of plots are available, a gradient plot with rectangular areas, and a violin plot where the shape (horizontal width) is defined by the probability density function of the t-distribution.
Encoding: UTF-8
Depends: R (>= 3.1.0)
Imports: dplyr, ggplot2, stats
Suggests: scales
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-05-07 13:05:21 UTC; jovetale
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>
Repository: CRAN
Date/Publication: 2020-05-11 11:50:02 UTC

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Package diffobj updated to version 0.3.0 with previous version 0.2.4 dated 2020-03-20

Title: Diffs for R Objects
Description: Generate a colorized diff of two R objects for an intuitive visualization of their differences.
Author: Brodie Gaslam [aut, cre], Michael B. Allen [ctb, cph] (Original C implementation of Myers Diff Algorithm)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

Diff between diffobj versions 0.2.4 dated 2020-03-20 and 0.3.0 dated 2020-05-11

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More information about diffobj at CRAN
Permanent link

New package DeCAFS with initial version 3.1.4
Package: DeCAFS
Type: Package
Title: Detecting Changes in Autocorrelated and Fluctuating Signals
Version: 3.1.4
Date: 2020-05-07
Authors@R: c(person("Gaetano", "Romano", email = "g.romano@lancaster.ac.uk", role = c("aut", "cre")), person("Guillem", "Rigaill", role = c("aut")), person("Vincent", "Runge", role = c("aut")), person("Paul", "Fearnhead", role = c("aut")))
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>
Description: Detect abrupt changes in time series with local fluctuations as a random walk process and autocorrelated noise as an AR(1) process. See Romano, G., Rigaill, G., Runge, V., Fearnhead, P. (2020) <arXiv:2005.01379>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.0), ggplot2
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2020-05-07 11:08:51 UTC; romano
Depends: R (>= 2.10)
LazyData: true
BugReports: https://github.com/gtromano/DeCAFS/issues
RoxygenNote: 7.1.0
Author: Gaetano Romano [aut, cre], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut]
Repository: CRAN
Date/Publication: 2020-05-11 12:00:02 UTC

More information about DeCAFS at CRAN
Permanent link

Package canprot updated to version 1.0.0 with previous version 0.1.2 dated 2019-02-26

Title: Compositional Analysis of Differentially Expressed Proteins in Cancer
Description: Compositional analysis of differentially expressed proteins in cancer and cell culture proteomics experiments. The data include lists of up- and down-regulated proteins in different cancer types (breast, colorectal, liver, lung, pancreatic, prostate) and laboratory conditions (hypoxia, hyperosmotic stress, high glucose, 3D cell culture, and proteins secreted in hypoxia), together with amino acid compositions computed for protein sequences obtained from UniProt. Functions are provided to calculate compositional metrics including protein length, carbon oxidation state, and stoichiometric hydration state. In addition, phylostrata (evolutionary ages) of protein-coding genes are compiled using data from Liebeskind et al. (2016) <doi:10.1093/gbe/evw113> or Trigos et al. (2017) <doi:10.1073/pnas.1617743114>. The vignettes contain plots of compositional differences, phylostrata for human proteins, and references for all datasets.
Author: Jeffrey Dick [aut, cre] (<https://orcid.org/0000-0002-0687-5890>), Ben Bolker [ctb] (<https://orcid.org/0000-0002-2127-0443>)
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

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More information about canprot at CRAN
Permanent link

New package blindrecalc with initial version 0.1.2
Package: blindrecalc
Type: Package
Title: Blinded Sample Size Recalculation
Version: 0.1.2
Authors@R: c(person(given = "Lukas", family = "Baumann", role = c("aut"), email = "baumann@imbi.uni-heidelberg.de"), person(given = "Maximilian", family = "Pilz", role = c("aut", "cre"), email = "pilz@imbi.uni-heidelberg.de"), person(given = "Institute of Medical Biometry and Informatics - University of Heidelberg", role = c("cph")))
Description: Computation of key characteristics and plots for blinded sample size recalculation. Continuous as well as binary endpoints are supported in superiority and non-inferiority trials. The implemented methods include the approaches by Lu, K. (2019) <doi:10.1002/pst.1737>, Kieser, M. and Friede, T. (2000) <doi:10.1002/(SICI)1097-0258(20000415)19:7%3C901::AID-SIM405%3E3.0.CO;2-L>, Friede, T. and Kieser, M. (2004) <doi:10.1002/pst.140>, Friede, T., Mitchell, C., Mueller-Veltern, G. (2007) <doi:10.1002/bimj.200610373>, and Friede, T. and Kieser, M. (2011) <doi:10.3414/ME09-01-0063>.
License: MIT + file LICENSE
URL: https://github.com/imbi-heidelberg/blindrecalc
Encoding: UTF-8
LazyData: true
Suggests: testthat, covr
Imports: methods, Rcpp
Collate: test_statistics.R methods.R Student.R blindrecalc.R ChiSquare.R ChiSquare_helper.R FarringtonManning.R FarringtonManning_helper.R RcppExports.R
RoxygenNote: 7.1.0
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2020-05-07 12:52:49 UTC; Max
Author: Lukas Baumann [aut], Maximilian Pilz [aut, cre], Institute of Medical Biometry and Informatics - University of Heidelberg [cph]
Maintainer: Maximilian Pilz <pilz@imbi.uni-heidelberg.de>
Repository: CRAN
Date/Publication: 2020-05-11 11:10:14 UTC

More information about blindrecalc at CRAN
Permanent link

Package bioRad updated to version 0.5.2 with previous version 0.5.1 dated 2020-04-01

Title: Biological Analysis and Visualization of Weather Radar Data
Description: Extract, visualize and summarize aerial movements of birds and insects from weather radar data. See <doi:10.1111/ecog.04028> for a software paper describing package and methodologies.
Author: Adriaan M. Dokter [aut, cre] (<https://orcid.org/0000-0001-6573-066X>), Peter Desmet [aut] (<https://orcid.org/0000-0002-8442-8025>), Stijn Van Hoey [aut] (<https://orcid.org/0000-0001-6413-3185>), Bart Kranstauber [ctb] (<https://orcid.org/0000-0001-8303-780X>), Cecilia Nilsson [ctb] (<https://orcid.org/0000-0001-8957-4411>), Jurriaan Spaaks [ctb], Lourens Veen [ctb], Liesbeth Verlinden [ctb] (<https://orcid.org/0000-0003-1744-9325>), Hidde Leijnse [ctb] (<https://orcid.org/0000-0001-7835-4480>)
Maintainer: Adriaan M. Dokter <amd427@cornell.edu>

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New package Andromeda with initial version 0.1.3
Package: Andromeda
Type: Package
Title: Asynchronous Disk-Based Representation of Massive Data
Version: 0.1.3
Date: 2020-05-07
Authors@R: c( person("Martijn", "Schuemie", , "schuemie@ohdsi.org", role = c("aut", "cre")), person("Marc A.", "Suchard", , "msuchard@ucla.edu", role = c("aut")), person("Observational Health Data Science and Informatics", role = c("cph")) )
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Description: Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
License: Apache License 2.0
VignetteBuilder: knitr
URL: https://github.com/OHDSI/Andromeda
BugReports: https://github.com/OHDSI/Andromeda/issues
Depends: dplyr
Imports: RSQLite, DBI, zip, methods, dbplyr, cli, pillar, Rcpp
Suggests: testthat, knitr, rmarkdown, rlang, tibble
LazyData: false
RoxygenNote: 7.1.0
Encoding: UTF-8
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2020-05-07 10:53:13 UTC; MSCHUEMI
Author: Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Repository: CRAN
Date/Publication: 2020-05-11 11:10:27 UTC

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Package SCORPIUS updated to version 1.0.7 with previous version 1.0.6 dated 2020-03-16

Title: Inferring Developmental Chronologies from Single-Cell RNA Sequencing Data
Description: An accurate and easy tool for performing linear trajectory inference on single cells using single-cell RNA sequencing data. In addition, SCORPIUS provides functions for discovering the most important genes with respect to the reconstructed trajectory, as well as nice visualisation tools. Cannoodt et al. (2016) <doi:10.1101/079509>.
Author: Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [ctb] (<https://orcid.org/0000-0002-7114-6248>, zouter)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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New package regmedint with initial version 0.1.0
Package: regmedint
Title: Regression-Based Causal Mediation Analysis with an Interaction Term
Version: 0.1.0
Authors@R: c( # http://r-pkgs.had.co.nz/description.html#author person('Kazuki', 'Yoshida', email = 'kazukiyoshida@mail.harvard.edu', role = c('cre','aut'), comment = c(ORCID = '0000-0002-2030-3549')), # person('Maya', 'Mathur', role = c('ctb'), comment = c(ORCID = '0000-0001-6698-2607')) )
Description: 'R' re-implementation of the regression-based causal mediation analysis with a treatment-mediator interaction term, as originally implemented in the 'SAS' macro by Valeri and VanderWeele (2013) <doi:10.1037/a0031034> and Valeri and VanderWeele (2015) <doi:10.1097/EDE.0000000000000253>. Linear and logistic models are supported for the mediator model. Linear, logistic, loglinear, Poisson, negative binomial, Cox, and accelerated failure time (exponential and Weibull) models are supported for the outcome model.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: Deriv, MASS, Matrix, assertthat, sandwich, survival
Suggests: boot, furrr, future, geepack, knitr, mice, mitools, modelr, purrr, rlang, stringr, testthat, tidyverse
RoxygenNote: 7.1.0
VignetteBuilder: knitr
URL: https://kaz-yos.github.io/regmedint/
BugReports: https://github.com/kaz-yos/regmedint/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-05-07 10:54:41 UTC; kazuki
Author: Kazuki Yoshida [cre, aut] (<https://orcid.org/0000-0002-2030-3549>), Maya Mathur [ctb] (<https://orcid.org/0000-0001-6698-2607>)
Maintainer: Kazuki Yoshida <kazukiyoshida@mail.harvard.edu>
Repository: CRAN
Date/Publication: 2020-05-11 11:00:02 UTC

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Package profile updated to version 1.0.2 with previous version 1.0.1 dated 2020-05-01

Title: Read, Manipulate, and Write Profiler Data
Description: Defines a data structure for profiler data, and methods to read and write from the 'Rprof' and 'pprof' file formats.
Author: Kirill Müller [aut, cre], R Consortium [fnd]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between profile versions 1.0.1 dated 2020-05-01 and 1.0.2 dated 2020-05-11

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Package concaveman updated to version 1.1.0 with previous version 1.0.0 dated 2017-07-25

Title: A Very Fast 2D Concave Hull Algorithm
Description: The concaveman function ports the 'concaveman' (<https://github.com/mapbox/concaveman>) library from 'mapbox'. It computes the concave polygon(s) for one or several set of points.
Author: Joël Gombin [cre, aut], Ramnath Vaidyanathan [aut], Vladimir Agafonkin [aut], Mapbox [cph]
Maintainer: Joël Gombin <joel.gombin@gmail.com>

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New package spant with initial version 1.5.0
Package: spant
Type: Package
Title: MR Spectroscopy Analysis Tools
Version: 1.5.0
Date: 2020-05-10
Authors@R: c( person("Martin", "Wilson", email = "martin@pipegrep.co.uk", role = c("cre", "aut")), person("Yong", "Wang", role = "ctb"), person("John", "Muschelli", role = "ctb"))
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. <https://martin3141.github.io/spant/>.
BugReports: https://github.com/martin3141/spant/issues
License: GPL-3
RoxygenNote: 7.1.0
NeedsCompilation: yes
LazyData: yes
Depends: R (>= 2.10)
Imports: abind, plyr, foreach, pracma, stringr, complexplus, signal, matrixcalc, minpack.lm, nnls, utils, graphics, grDevices, smoother, readr, magrittr, ptw, viridisLite, mmand, RNifti, RNiftyReg, fields, MASS, shiny, miniUI, oro.dicom, numDeriv, nloptr, irlba, tibble
Suggests: neurobase, oro.nifti, knitr, rmarkdown, testthat, doParallel
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
Packaged: 2020-05-10 07:43:26 UTC; martin
Author: Martin Wilson [cre, aut], Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>
Repository: CRAN
Date/Publication: 2020-05-11 09:10:02 UTC

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New package condmixt with initial version 1.1
Package: condmixt
Type: Package
Title: Conditional Density Estimation with Neural Network Conditional Mixtures
Version: 1.1
Date: 2020-05-09
Author: Julie Carreau
Maintainer: Julie Carreau <julie.carreau@ird.fr>
Description: Neural network conditional mixtures are mixture models whose parameters are predicted by a neural network. The mixture model can thus change its parameters in response to changes in predictive covariates. Mixtures included are gaussian, log-normal and hybrid Pareto mixtures. The latter relies on the generalized Pareto distribution to account for the presence of large extreme events. The unconditional mixtures are also available.
Depends: evd
License: GPL-2
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2020-05-10 09:07:01 UTC; lili
Repository: CRAN
Date/Publication: 2020-05-11 09:10:08 UTC

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Package ClustImpute updated to version 0.1.4 with previous version 0.1.3 dated 2019-08-01

Title: K-means clustering with build-in missing data imputation
Description: This clustering algorithm deals with missing data via weights that are imposed on missings and successively increased. See the vignette for details.
Author: Oliver Pfaffel
Maintainer: Oliver Pfaffel <opfaffel@gmail.com>

Diff between ClustImpute versions 0.1.3 dated 2019-08-01 and 0.1.4 dated 2020-05-11

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Package banR updated to version 0.2.2 with previous version 0.2.1 dated 2019-12-05

Title: R Client for the BAN API
Description: A client for the "Base Adresses Nationale" (BAN) API, which allows to (batch) geocode and reverse-geocode French addresses. For more information about the BAN and its API, please see <https://adresse.data.gouv.fr/api>.
Author: Joel Gombin [cre, aut], Paul-Antoine Chevalier [aut]
Maintainer: Joel Gombin <joel.gombin@gmail.com>

Diff between banR versions 0.2.1 dated 2019-12-05 and 0.2.2 dated 2020-05-11

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Package GWASinspector updated to version 1.4.7.1 with previous version 1.4.7 dated 2020-04-22

Title: Comprehensive and Easy to Use Quality Control of GWAS Results
Description: When evaluating the results of a genome-wide association study (GWAS), it is important to perform a quality control to ensure that the results are valid, complete, correctly formatted, and, in case of meta-analysis, consistent with other studies that have applied the same analysis. This package was developed to facilitate and streamline this process and provide the user with a comprehensive report.
Author: Alireza Ani [aut, cre], Peter J. van der Most [aut], Ahmad Vaez [aut], Ilja M. Nolte [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>

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Package broomExtra updated to version 4.0.2 with previous version 4.0.0 dated 2020-04-22

Title: Enhancements for 'broom' and 'easystats' Package Families
Description: Provides helper functions that assist in data analysis workflows involving regression analyses. The goal is to combine the functionality offered by different set of packages ('broom', 'broom.mixed', 'parameters', and 'performance') through a common syntax to return tidy dataframes containing model parameters and performance measure summaries. The 'grouped_' variants of the generics provides a convenient way to execute functions across a combination of grouping variable(s) in a dataframe.
Author: Indrajeet Patil [aut, cre, cph] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package BAwiR updated to version 1.2.4 with previous version 1.2.3 dated 2020-04-14

Title: Analysis of Basketball Data
Description: Collection of tools to work with basketball data. Functions available are related to friendly web scraping and visualization. Data were obtained from <http://www.euroleague.net/>, <http://www.eurocupbasketball.com/> and <http://www.acb.com>, following the instructions of their respectives robots.txt files, when available. Tools for visualization include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games and maps of nationalities. Please see Vinue (2020) <doi:10.1089/big.2018.0124>.
Author: Guillermo Vinue
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

Diff between BAwiR versions 1.2.3 dated 2020-04-14 and 1.2.4 dated 2020-05-11

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Package baseline updated to version 1.3-0 with previous version 1.2-3 dated 2020-02-03

Title: Baseline Correction of Spectra
Description: Collection of baseline correction algorithms, along with a framework and a Tcl/Tk enabled GUI for optimising baseline algorithm parameters. Typical use of the package is for removing background effects from spectra originating from various types of spectroscopy and spectrometry, possibly optimizing this with regard to regression or classification results. Correction methods include polynomial fitting, weighted local smoothers and many more.
Author: Kristian Hovde Liland [aut, cre], Bjørn-Helge Mevik [aut], Roberto Canteri [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

Diff between baseline versions 1.2-3 dated 2020-02-03 and 1.3-0 dated 2020-05-11

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Package gRim (with last version 0.2.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-02-21 0.2.1
2017-03-31 0.2-0
2013-08-08 0.1-17
2013-05-30 0.1-16
2012-12-28 0.1-15
2012-10-07 0.1-14
2012-09-10 0.1-13
2012-08-08 0.1-12

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Package ctsem (with last version 3.2.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-04-25 3.2.1
2020-04-21 3.2.0
2020-02-10 3.1.1
2020-01-27 3.1.0
2019-12-18 3.0.9
2019-11-07 3.0.8
2019-09-12 3.0.4
2019-09-11 3.0.3
2019-08-23 3.0.1
2019-07-31 3.0.0
2019-05-29 2.9.6
2019-04-13 2.9.0
2019-02-03 2.8.2

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