Wed, 09 Dec 2020

Package loo updated to version 2.4.1 with previous version 2.4.0 dated 2020-12-04

Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Description: Efficient approximate leave-one-out cross-validation (LOO) for Bayesian models fit using Markov chain Monte Carlo, as described in Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4>. The approximation uses Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. The package also provides methods for using stacking and other model weighting techniques to average Bayesian predictive distributions.
Author: Aki Vehtari [aut], Jonah Gabry [cre, aut], Mans Magnusson [aut], Yuling Yao [aut], Paul-Christian Bürkner [aut], Topi Paananen [aut], Andrew Gelman [aut], Ben Goodrich [ctb], Juho Piironen [ctb], Bruno Nicenboim [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

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Package encryptedRmd updated to version 0.2.1 with previous version 0.2.0 dated 2020-05-08

Title: Encrypt Html Reports Using 'Libsodium'
Description: Create encrypted html files that are fully self contained and do not require any additional software. Using the package you can encrypt arbitrary html files and also directly create encrypted 'rmarkdown' html reports.
Author: Dirk Schumacher [aut, cre, cph], Jannis R. [aut, cph]
Maintainer: Dirk Schumacher <mail@dirk-schumacher.net>

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Package tm1r updated to version 1.1.8 with previous version 1.1.7 dated 2020-11-30

Title: The Integration Between 'IBM COGNOS TM1' and R
Description: Useful functions to connect to 'TM1' <https://www.ibm.com/uk-en/products/planning-and-analytics> instance from R via REST API. With the functions in the package, data can be imported from 'TM1' via mdx view or native view, data can be sent to 'TM1', processes and chores can be executed, and cube and dimension metadata information can be taken.
Author: Muhammed Ali Onder
Maintainer: Muhammed Ali Onder <muhammedalionder@gmail.com>

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Package mrbin updated to version 1.4.4 with previous version 1.4.3 dated 2020-09-25

Title: Magnetic Resonance Binning, Integration and Normalization
Description: Nuclear Magnetic Resonance is widely used in Life Science research. The package (<http://www.kleinomicslab.com/software/>) converts 1D or 2D data into a matrix of values suitable for further data analysis and performs basic processing steps in a reproducible way. Negative values, a common issue in such data, are replaced by positive values. All used parameters are stored in a readable text file and can be restored from that file to enable exact reproduction of the data at a later time.
Author: Matthias Klein [aut, cre] (<https://orcid.org/0000-0001-7455-5381>)
Maintainer: Matthias Klein <klein.663@osu.edu>

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Package hunspell updated to version 3.0.1 with previous version 3.0 dated 2018-12-15

Title: High-Performance Stemmer, Tokenizer, and Spell Checker
Description: Low level spell checker and morphological analyzer based on the famous 'hunspell' library <https://hunspell.github.io>. The package can analyze or check individual words as well as parse text, latex, html or xml documents. For a more user-friendly interface use the 'spelling' package which builds on this package to automate checking of files, documentation and vignettes in all common formats.
Author: Jeroen Ooms [aut, cre], Authors of libhunspell [cph] (see AUTHORS file)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package asbio updated to version 1.6-7 with previous version 1.6-5 dated 2020-06-29

Title: A Collection of Statistical Tools for Biologists
Description: Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R. CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.
Author: Ken Aho
Maintainer: Ken Aho <kenaho1@gmail.com>

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Package colourlovers updated to version 0.3.6 with previous version 0.3.5 dated 2019-05-01

Title: R Client for the COLOURlovers API
Description: Provides access to the COLOURlovers <https://www.colourlovers.com/> API, which offers color inspiration and color palettes.
Author: Andrew Heiss [aut, cre] (<https://orcid.org/0000-0002-3948-3914>), Thomas J. Leeper [aut] (<https://orcid.org/0000-0003-4097-6326>)
Maintainer: Andrew Heiss <andrew@andrewheiss.com>

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New package BTYDplus with initial version 1.0.1
Package: BTYDplus
Type: Package
Title: Probabilistic Models for Assessing and Predicting your Customer Base
Version: 1.0.1
Authors@R: person("Michael", "Platzer", email = "michael.platzer@gmail.com", role = c("aut", "cre"))
Description: Provides advanced statistical methods to describe and predict customers' purchase behavior in a non-contractual setting. It uses historic transaction records to fit a probabilistic model, which then allows to compute quantities of managerial interest on a cohort- as well as on a customer level (Customer Lifetime Value, Customer Equity, P(alive), etc.). This package complements the BTYD package by providing several additional buy-till-you-die models, that have been published in the marketing literature, but whose implementation are complex and non-trivial. These models are: NBD, MBG/NBD, BG/CNBD-k, MBG/CNBD-k, Pareto/NBD (HB), Pareto/NBD (Abe) and Pareto/GGG.
URL: https://github.com/mplatzer/BTYDplus#readme
BugReports: https://github.com/mplatzer/BTYDplus/issues
License: GPL-3
LinkingTo: Rcpp
Depends: R (>= 3.2.0)
Imports: Rcpp, BTYD (>= 2.3), coda, data.table, mvtnorm, bayesm, stats, graphics
Suggests: testthat, gsl, covr, knitr, rmarkdown, lintr (>= 1.0.0)
RoxygenNote: 5.0.1
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-12-14 10:15:47 UTC; m
Author: Michael Platzer [aut, cre]
Maintainer: Michael Platzer <michael.platzer@gmail.com>
Repository: CRAN
Date/Publication: 2016-12-14 17:23:14
X-CRAN-Comment: Archived on 2020-11-26 as depends on archived package 'BTYD'.

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Package ursa updated to version 3.9.2 with previous version 3.9.1 dated 2020-11-11

Title: Non-Interactive Spatial Tools for Raster Processing and Visualization
Description: S3 classes and methods for manipulation with georeferenced raster data: reading/writing, processing, multi-panel visualization.
Author: Nikita Platonov [aut, cre] (<https://orcid.org/0000-0001-7196-7882>)
Maintainer: Nikita Platonov <platonov@sevin.ru>

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Package performance updated to version 0.6.1 with previous version 0.6.0 dated 2020-12-01

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Mattan S. Ben-Shachar [aut, ctb] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package osrm updated to version 3.4.0 with previous version 3.3.3 dated 2020-04-14

Title: Interface Between R and the OpenStreetMap-Based Routing Service OSRM
Description: An interface between R and the 'OSRM' API. 'OSRM' is a routing service based on 'OpenStreetMap' data. See <http://project-osrm.org/> for more information. This package allows to compute routes, trips, isochrones and travel distances matrices (travel time and kilometric distance).
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>), Robin Cura [ctb], Matthieu Viry [ctb], Robin Lovelace [ctb] (<https://orcid.org/0000-0001-5679-6536>)
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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Package jsonlite updated to version 1.7.2 with previous version 1.7.1 dated 2020-09-07

Title: A Simple and Robust JSON Parser and Generator for R
Description: A reasonably fast JSON parser and generator, optimized for statistical data and the web. Offers simple, flexible tools for working with JSON in R, and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Duncan Temple Lang [ctb], Lloyd Hilaiel [cph] (author of bundled libyajl)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between jsonlite versions 1.7.1 dated 2020-09-07 and 1.7.2 dated 2020-12-09

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Package emmeans updated to version 1.5.3 with previous version 1.5.2-1 dated 2020-10-25

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Paul Buerkner [ctb], Maxime Herve [ctb], Jonathon Love [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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Package disaggR updated to version 0.1.11 with previous version 0.1.9 dated 2020-10-11

Title: Two-Steps Benchmarks for Time Series Disaggregation
Description: The twoStepsBenchmark() function and its wrappers allow you to disaggregate a low frequency time serie with time series of higher frequency, using the French National Accounts methodology. The aggregated sum of the resulting time-serie is strictly equal to the low-frequency serie within the benchmarking window. Typically, the low frequency serie is an annual one, unknown for the last year, and the high frequency is either quarterly or mensual. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8).
Author: Arnaud Feldmann [aut, cre], Institut national de la statistique et des études économiques [cph] (https://www.insee.fr/)
Maintainer: Arnaud Feldmann <arnaud.feldmann@insee.fr>

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Package descriptr updated to version 0.5.2 with previous version 0.5.1 dated 2020-02-01

Title: Generate Descriptive Statistics
Description: Generate descriptive statistics such as measures of location, dispersion, frequency tables, cross tables, group summaries and multiple one/two way tables.
Author: Aravind Hebbali [aut, cre] (<https://orcid.org/0000-0001-9220-9669>)
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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Package SpatialPosition updated to version 2.1.0 with previous version 2.0.1 dated 2020-04-14

Title: Spatial Position Models
Description: Computes spatial position models: Stewart potentials, Reilly catchment areas, Huff catchment areas.
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>), Hadrien Commenges [aut], Joël Boulier [ctb]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

Diff between SpatialPosition versions 2.0.1 dated 2020-04-14 and 2.1.0 dated 2020-12-09

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Package piecewiseSEM updated to version 2.1.2 with previous version 2.1.0 dated 2019-12-05

Title: Piecewise Structural Equation Modeling
Description: Implements piecewise structural equation modeling from a single list of structural equations, with new methods for non-linear, latent, and composite variables, standardized coefficients, query-based prediction and indirect effects. See <http://jslefche.github.io/piecewiseSEM/> for more.
Author: Jon Lefcheck [aut, cre], Jarrett Byrnes [aut], James Grace [aut]
Maintainer: Jon Lefcheck <lefcheckj@si.edu>

Diff between piecewiseSEM versions 2.1.0 dated 2019-12-05 and 2.1.2 dated 2020-12-09

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Package partykit updated to version 1.2-11 with previous version 1.2-10 dated 2020-10-12

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>), Heidi Seibold [ctb] (<https://orcid.org/0000-0002-8960-9642>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package ResearchAssociate updated to version 1.0.0 with previous version 0.0.1 dated 2020-11-25

Title: Retrieving Publications from PubMed Database Based on User Query
Description: Connects to Pubmed <https://pubmed.ncbi.nlm.nih.gov/> to retrieve publications related to user-defined search query.
Author: Mohamed Soudy [aut, cre], Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

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Package CA3variants updated to version 3.0 with previous version 2.5 dated 2020-04-28

Title: Three-Way Correspondence Analysis Variants
Description: Provides four variants of three-way correspondence analysis (ca): three-way symmetrical ca, three-way non-symmetrical ca, three-way ordered symmetrical ca and three-way ordered non-symmetrical ca.
Author: Rosaria Lombardo, Eric J Beh and Michel van de Velden
Maintainer: Rosaria Lombardo <rosaria.lombardo@unicampania.it>

Diff between CA3variants versions 2.5 dated 2020-04-28 and 3.0 dated 2020-12-09

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Package mrgsolve updated to version 0.10.7 with previous version 0.10.4 dated 2020-06-19

Title: Simulate from ODE-Based Models
Description: Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.
Author: Kyle T Baron [aut, cre] (<https://orcid.org/0000-0001-7252-5656>), Bill Gillespie [ctb], Charles Margossian [ctb], Devin Pastoor [ctb], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Dilawar Singh [ctb], Felicien Le Louedec [ctb] (<https://orcid.org/0000-0003-3699-2729>), Metrum Research Group [cph]
Maintainer: Kyle T Baron <kyleb@metrumrg.com>

Diff between mrgsolve versions 0.10.4 dated 2020-06-19 and 0.10.7 dated 2020-12-09

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Package iai updated to version 1.4.0 with previous version 1.3.0 dated 2020-08-05

Title: Interface to 'Interpretable AI' Modules
Description: An interface to the algorithms of 'Interpretable AI' <https://www.interpretable.ai> from the R programming language. 'Interpretable AI' provides various modules, including 'Optimal Trees' for classification, regression, prescription and survival analysis, 'Optimal Imputation' for missing data imputation and outlier detection, and 'Optimal Feature Selection' for exact sparse regression. The 'iai' package is an open-source project. The 'Interpretable AI' software modules are proprietary products, but free academic and evaluation licenses are available.
Author: Jack Dunn [aut, cre], Ying Zhuo [aut], Interpretable AI LLC [cph]
Maintainer: Jack Dunn <jack@interpretable.ai>

Diff between iai versions 1.3.0 dated 2020-08-05 and 1.4.0 dated 2020-12-09

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Package backports updated to version 1.2.1 with previous version 1.2.0 dated 2020-11-02

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 1.2.0 dated 2020-11-02 and 1.2.1 dated 2020-12-09

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Package RSA updated to version 0.10.2 with previous version 0.10.1 dated 2020-06-30

Title: Response Surface Analysis
Description: Advanced response surface analysis. The main function RSA computes and compares several nested polynomial regression models (full second- or third-order polynomial, shifted and rotated squared difference model, rising ridge surfaces, basic squared difference model, asymmetric or level-dependent congruence effect models). The package provides plotting functions for 3d wireframe surfaces, interactive 3d plots, and contour plots. Calculates many surface parameters (a1 to a5, principal axes, stationary point, eigenvalues) and provides standard, robust, or bootstrapped standard errors and confidence intervals for them.
Author: Felix Schönbrodt [cre, aut], Sarah Humberg [aut]
Maintainer: Felix Schönbrodt <felix@nicebread.de>

Diff between RSA versions 0.10.1 dated 2020-06-30 and 0.10.2 dated 2020-12-09

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Package fastai updated to version 2.0.2 with previous version 2.0.1 dated 2020-11-12

Title: Interface to 'fastai'
Description: The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices. It is based on research in to deep learning best practices undertaken at 'fast.ai', including 'out of the box' support for vision, text, tabular, audio, time series, and collaborative filtering models.
Author: Turgut Abdullayev [ctb, cre, cph, aut]
Maintainer: Turgut Abdullayev <turqut.a.314@gmail.com>

Diff between fastai versions 2.0.1 dated 2020-11-12 and 2.0.2 dated 2020-12-09

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Package alphashape3d updated to version 1.3.1 with previous version 1.3 dated 2017-12-21

Title: Implementation of the 3D Alpha-Shape for the Reconstruction of 3D Sets from a Point Cloud
Description: Implementation in R of the alpha-shape of a finite set of points in the three-dimensional space. The alpha-shape generalizes the convex hull and allows to recover the shape of non-convex and even non-connected sets in 3D, given a random sample of points taken into it. Besides the computation of the alpha-shape, this package provides users with functions to compute the volume of the alpha-shape, identify the connected components and facilitate the three-dimensional graphical visualization of the estimated set.
Author: Thomas Lafarge, Beatriz Pateiro-Lopez
Maintainer: Beatriz Pateiro-Lopez <beatriz.pateiro@usc.es>

Diff between alphashape3d versions 1.3 dated 2017-12-21 and 1.3.1 dated 2020-12-09

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Package Quartet updated to version 1.2.2 with previous version 1.2.0 dated 2020-10-21

Title: Comparison of Phylogenetic Trees Using Quartet and Split Measures
Description: Calculates the number of four-taxon subtrees consistent with a pair of cladograms, calculating the symmetric quartet distance of Bandelt & Dress (1986), Reconstructing the shape of a tree from observed dissimilarity data, Advances in Applied Mathematics, 7, 309-343 <doi:10.1016/0196-8858(86)90038-2>, and using the tqDist algorithm of Sand et al. (2014), tqDist: a library for computing the quartet and triplet distances between binary or general trees, Bioinformatics, 30, 2079–2080 <doi:10.1093/bioinformatics/btu157> for pairs of binary trees.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Andreas Sand [ant], Gerth Stølting Brodal [ant], Rolf Fagerberg [ant], Thomas Mailund [ant], Christian N. S. Pedersen [ant], Jens Johansen [ant], Morten K. Holt [ant]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package pvaluefunctions updated to version 1.6.1 with previous version 1.6.0 dated 2020-06-24

Title: Creates and Plots P-Value Functions, S-Value Functions, Confidence Distributions and Confidence Densities
Description: Contains functions to compute and plot confidence distributions, confidence densities, p-value functions and s-value (surprisal) functions for several commonly used estimates. Instead of just calculating one p-value and one confidence interval, p-value functions display p-values and confidence intervals for many levels thereby allowing to gauge the compatibility of several parameter values with the data. These methods are discussed by Infanger D, Schmidt-Trucksäss A. (2019) <doi:10.1002/sim.8293>; Poole C. (1987) <doi:10.2105/AJPH.77.2.195>; Schweder T, Hjort NL. (2002) <doi:10.1111/1467-9469.00285>; Bender R, Berg G, Zeeb H. (2005) <doi:10.1002/bimj.200410104> ; Singh K, Xie M, Strawderman WE. (2007) <doi:10.1214/074921707000000102>; Rothman KJ, Greenland S, Lash TL. (2008, ISBN:9781451190052); Amrhein V, Trafimow D, Greenland S. (2019) <doi:10.1080/00031305.2018.1543137>; Greenland S. (2019) <doi:10.1080/00031305.2018.1529625> and Rafi Z, Greenland S. (2020) <doi:10.1186/s12874-020-01105-9>.
Author: Denis Infanger [aut, cre] (<https://orcid.org/0000-0001-9028-7110>)
Maintainer: Denis Infanger <denis.infanger@unibas.ch>

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Package pavo (with last version 2.6.0) was removed from CRAN

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

2020-12-09 2.6.0
2020-11-12 2.5.0
2020-02-08 2.4.0
2019-12-11 2.3.0

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Package Ternary updated to version 1.2.1 with previous version 1.2.0 dated 2020-10-16

Title: Create Ternary Plots
Description: Plots ternary diagrams (simplex plots / Gibbs triangles) using the standard graphics functions. An alternative to 'ggtern', which uses the 'ggplot2' family of plotting functions. Includes a 'Shiny' user interface for point-and-click plotting.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Lilian Sanselme [ctb]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package tacmagic updated to version 0.3.1 with previous version 0.3.0 dated 2019-06-07

Title: Positron Emission Tomography Time-Activity Curve Analysis
Description: To facilitate the analysis of positron emission tomography (PET) time activity curve (TAC) data, and to encourage open science and replicability, this package supports data loading and analysis of multiple TAC file formats. Functions are available to analyze loaded TAC data for individual participants or in batches. Major functionality includes weighted TAC merging by region of interest (ROI), calculating models including standardized uptake value ratio (SUVR) and distribution volume ratio (DVR, Logan et al. 1996 <doi:10.1097/00004647-199609000-00008>), basic plotting functions and calculation of cut-off values (Aizenstein et al. 2008 <doi:10.1001/archneur.65.11.1509>). Please see the walkthrough vignette for a detailed overview of 'tacmagic' functions.
Author: Eric Brown [aut, cre] (<https://orcid.org/0000-0002-1575-2606>), Ariel Graff-Guerrero [dgs], Jon Clayden [rev] (<https://orcid.org/0000-0002-6608-0619>, Jon Clayden reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/280>), Brandon Hurr [rev] (<https://orcid.org/0000-0003-2576-4544>, Brandon Hurr reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/280>)
Maintainer: Eric Brown <eb@ericebrown.com>

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Package smooth updated to version 3.0.0 with previous version 2.6.0 dated 2020-06-17

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>), Vector Exponential Smoothing (de Silva et al., 2010, <doi: 10.1177/1471082X0901000401>) in state space forms, several simulation functions and intermittent demand state space models. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2017, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package scam updated to version 1.2-9 with previous version 1.2-8 dated 2020-10-23

Title: Shape Constrained Additive Models
Description: Routines for generalized additive modelling under shape constraints on the component functions of the linear predictor (Pya and Wood, 2015) <doi:10.1007/s11222-013-9448-7>. Models can contain multiple shape constrained (univariate and/or bivariate) and unconstrained terms. The routines of gam() in package 'mgcv' are used for setting up the model matrix, printing and plotting the results. Penalized likelihood maximization based on Newton-Raphson method is used to fit a model with multiple smoothing parameter selection by GCV or UBRE/AIC.
Author: Natalya Pya <nat.pya@gmail.com>
Maintainer: Natalya Pya <nat.pya@gmail.com>

Diff between scam versions 1.2-8 dated 2020-10-23 and 1.2-9 dated 2020-12-09

 ChangeLog                                |   10 +
 DESCRIPTION                              |    8 -
 MD5                                      |   20 +-
 NAMESPACE                                |    8 +
 R/plot.r                                 |  124 ++++++++++------
 R/predict.scam.R                         |   99 ++++++-------
 R/scam.r                                 |    6 
 R/uni.smooth.const-with-po.r             |  233 +++++++++++++++++++++++++++++--
 build/partial.rdb                        |binary
 man/Predict.matrix.mpi.smooth.Rd         |    4 
 man/smooth.construct.mifo.smooth.spec.Rd |only
 man/smooth.construct.miso.smooth.spec.Rd |only
 12 files changed, 392 insertions(+), 120 deletions(-)

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Package pavo updated to version 2.6.0 with previous version 2.5.0 dated 2020-11-12

Title: Perceptual Analysis, Visualization and Organization of Spectral Colour Data
Description: A cohesive framework for parsing, analyzing and organizing colour from spectral data.
Author: Thomas White [aut, cre] (<https://orcid.org/0000-0002-3976-1734>), Rafael Maia [aut] (<https://orcid.org/0000-0002-7563-9795>), Hugo Gruson [aut] (<https://orcid.org/0000-0002-4094-1476>), John Endler [aut], Chad Eliason [aut], Pierre-Paul Bitton [aut] (<https://orcid.org/0000-0001-5984-2331>)
Maintainer: Thomas White <thomas.white026@gmail.com>

Diff between pavo versions 2.5.0 dated 2020-11-12 and 2.6.0 dated 2020-12-09

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 NEWS.md                                   |   13 ++
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 R/vol.R                                   |   11 ++
 R/voloverlap.R                            |    3 
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 47 files changed, 434 insertions(+), 357 deletions(-)

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New package OptCirClust with initial version 0.0.1
Package: OptCirClust
Type: Package
Title: Circular, Periodic, or Framed Data Clustering: Fast, Optimal, and Reproducible
Version: 0.0.1
Date: 2020-12-07
Authors@R: c(person("Tathagata", "Debnath", role = "aut", comment = c(ORCID = "0000-0001-6445-275X")), person("Joe", "Song", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6883-6547"), email = "joemsong@cs.nmsu.edu"))
Author: Tathagata Debnath [aut] (<https://orcid.org/0000-0001-6445-275X>), Joe Song [aut, cre] (<https://orcid.org/0000-0002-6883-6547>)
Maintainer: Joe Song <joemsong@cs.nmsu.edu>
Description: Fast, optimal, and reproducible clustering algorithms for circular, periodic, or framed data. The algorithms introduced here are based on a core algorithm for optimal framed clustering the authors have developed (under review). The runtime of these algorithms is O(K N log^2 N), where K is the number of clusters and N is the number of circular data points. On a desktop computer using a single processor core, millions of data points can be clustered within seconds. One can apply the algorithms to characterize events along circular DNA molecules, circular RNA molecules, and circular genomes of bacteria, chloroplast, and mitochondria. One can also cluster climate data along any given longitude or latitude. Periodic data clustering can be formulated as circular clustering. The algorithms offer a general high-performance solution to circular, periodic, or framed data clustering.
VignetteBuilder: knitr
License: LGPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
LinkingTo: Rcpp
Imports: Ckmeans.1d.dp, graphics, plotrix, Rcpp, stats
Suggests: ape, bazar, ggplot2, knitr, reshape2, rmarkdown, testthat
NeedsCompilation: yes
Packaged: 2020-12-08 01:58:28 UTC; joesong
Repository: CRAN
Date/Publication: 2020-12-09 10:30:08 UTC

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New package mockthat with initial version 0.2.4
Package: mockthat
Title: Function Mocking for Unit Testing in R
Version: 0.2.4
Authors@R: person(given = "Nicolas", family = "Bennett", role = c("aut", "cre"), email = "nicolas.bennett@stat.math.ethz.ch")
Description: With the deprecation of mocking capabilities shipped with 'testthat' as of 'edition 3' it is left to third-party packages to replace this functionality, which in some test-scenarios is essential in order to run unit tests in limited environments (such as no Internet connection). Mocking in this setting means temporarily substituting a function with a stub that acts in some sense like the original function (for example by serving a HTTP response that has been cached as a file). The only exported function 'with_mock()' is modeled after the eponymous 'testthat' function with the intention of providing a drop-in replacement.
License: MIT + file LICENSE
URL: https://nbenn.github.io/mockthat/
BugReports: https://github.com/nbenn/mockthat/issues
Depends: R (>= 3.3.0)
Imports: utils
Suggests: testthat, curl, jsonlite, datasets, withr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-12-07 21:53:19 UTC; nbennett
Author: Nicolas Bennett [aut, cre]
Maintainer: Nicolas Bennett <nicolas.bennett@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2020-12-09 10:20:11 UTC

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New package maxcombo with initial version 1.0
Package: maxcombo
Type: Package
Title: The Group Sequential Max-Combo Test for Comparing Survival Curves
Version: 1.0
Date: 2020-12-07
Author: Tom Prior
Maintainer: Tom Prior <tomjamesprior@gmail.com>
Description: Functions for comparing survival curves using the max-combo test at a single timepoint or repeatedly at successive respective timepoints while controlling type I error (i.e., the group sequential setting), as published by Prior (2020) <doi:10.1177/0962280220931560>. The max-combo test is a generalization of the weighted log-rank test, which itself is a generalization of the log-rank test, which is a commonly used statistical test for comparing survival curves, e.g., during or after a clinical trial as part of an effort to determine if a new drug or therapy is more effective at delaying undesirable outcomes than an established drug or therapy or a placebo.
License: GPL-2
Imports: magrittr, purrr, rlang, mstate, MCMCpack, dplyr, mvtnorm, survival
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-12-07 20:18:31 UTC; tprior1
Repository: CRAN
Date/Publication: 2020-12-09 10:10:06 UTC

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New package gsbm with initial version 0.2.1
Package: gsbm
Type: Package
Title: Estimate Parameters in the Generalized SBM
Version: 0.2.1
Authors@R: c(person("Genevieve", "Robin", role = c("aut"), email = "genevieve.robin@inria.fr"), person("Solenne", "Gaucher", role = c("aut", "cre"), email = "solenne.gaucher@math.u-psud.fr"))
Maintainer: Solenne Gaucher <solenne.gaucher@math.u-psud.fr>
Description: Given an adjacency matrix drawn from a Generalized Stochastic Block Model with missing observations, this package robustly estimates the probabilities of connection between nodes and detects outliers nodes, as describes in Gaucher, Klopp and Robin (2019) <arXiv:1911.13122>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports: softImpute, RSpectra, doParallel, Matrix, foreach
Suggests: knitr, rmarkdown, igraph, missSBM, RColorBrewer, combinat, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-12-08 11:27:58 UTC; Mathilde
Author: Genevieve Robin [aut], Solenne Gaucher [aut, cre]
Repository: CRAN
Date/Publication: 2020-12-09 10:30:02 UTC

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New package comFuncs with initial version 0.0.5
Package: comFuncs
Type: Package
Title: Commonly Used Functions for R Shiny Applications
Version: 0.0.5
Author: Hanming Tu [aut, cre]
Authors@R: c( person("Hanming", "Tu", email = "hanming.tu@gmail.com",role = c("aut", "cre")) )
Maintainer: Hanming Tu <hanming.tu@gmail.com>
Description: A set of common functions to be used for displaying messages, checking variables, finding absolute paths, starting applications, etc. More functions will be added later.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
URL: https://github.com/TuCai/comFuncs
BugReports: https://github.com/TuCai/comFuncs/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: rstudioapi (>= 0.10), shiny (>= 1.3.2), stats (>= 4.0.3)
Suggests: testthat (>= 2.1.0),
NeedsCompilation: no
Packaged: 2020-12-08 04:04:21 UTC; htu
Repository: CRAN
Date/Publication: 2020-12-09 10:30:05 UTC

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New package BaM with initial version 1.0.2
Package: BaM
Title: Functions and Datasets for "Bayesian Methods: A Social and Behavioral Sciences Approach"
Version: 1.0.2
Author: Jonathan Homola, Danielle Korman, Jacob Metz, Miguel Pereira, Mauricio Vela, and Jeff Gill <jgill5402@mac.com>
Maintainer: Jeff Gill <jgill5402@mac.com>
Description: Functions and datasets for Jeff Gill: "Bayesian Methods: A Social and Behavioral Sciences Approach". First, Second, and Third Edition. Published by Chapman and Hall/CRC (2002, 2007, 2014) <doi:10.1201/b17888>.
Depends: R (>= 3.0.1)
Imports: dlm, MASS, mice
Suggests: coda, nnet
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Packaged: 2020-12-08 22:15:30 UTC; baole
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2020-12-09 10:30:12 UTC

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New package rgugik with initial version 0.2.0
Package: rgugik
Type: Package
Title: Search and Retrieve Spatial Data from 'GUGiK'
Version: 0.2.0
Authors@R: c(person(given = "Krzysztof", family = "Dyba", role = c("aut", "cre"), email = "adres7@gmail.com", comment = c(ORCID = "0000-0002-8614-3816")), person(given = "Jakub", family = "Nowosad", role = "aut", email = "nowosad.jakub@gmail.com", comment = c(ORCID = "0000-0002-1057-3721")), person(given = "Maciej", family = "Beręsewicz", role = "ctb", email = "maciej.beresewicz@ue.poznan.pl", comment = c(ORCID = "0000-0002-8281-4301")), person("GUGiK", role = "ctb", comment = "source of the data"))
Description: Automatic open data acquisition from resources of Polish Head Office of Geodesy and Cartography ('Główny Urząd Geodezji i Kartografii') (<www.gugik.gov.pl>). Available datasets include various types of numeric, raster and vector data, such as orthophotomaps, digital elevation models (digital terrain models, digital surface model, point clouds), state register of borders, spatial databases, geometries of cadastral parcels, 3D models of buildings, and more. It is also possible to geocode addresses or objects using the geocodePL_get() function.
License: MIT + file LICENSE
Depends: R (>= 3.5)
Imports: sf, jsonlite, openssl
Suggests: curl, knitr, rmarkdown, tibble, testthat, stars
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://kadyb.github.io/rgugik/, https://github.com/kadyb/rgugik
BugReports: https://github.com/kadyb/rgugik/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-12-07 10:49:39 UTC; jn
Author: Krzysztof Dyba [aut, cre] (<https://orcid.org/0000-0002-8614-3816>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), Maciej Beręsewicz [ctb] (<https://orcid.org/0000-0002-8281-4301>), GUGiK [ctb] (source of the data)
Maintainer: Krzysztof Dyba <adres7@gmail.com>
Repository: CRAN
Date/Publication: 2020-12-09 09:20:02 UTC

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New package qsimulatR with initial version 1.0
Package: qsimulatR
Version: 1.0
Date: 2020-12-07
Title: A Quantum Computer Simulator
Authors@R: c(person(given = "Johann", family = "Ostmeyer", role = "aut", email = "ostmeyer@hiskp.uni-bonn.de"), person(given = "Carsten", family = "Urbach", role = c("aut", "cre"), email = "urbach@hiskp.uni-bonn.de"))
Description: A quantum computer simulator framework with up to 24 qubits. It allows to define general single qubit gates and general controlled single qubit gates. For convenience, it currently provides the most common gates (X, Y, Z, H, Z, S, T, Rx, Ry, Rz, CNOT, SWAP, Toffoli or CCNOT, Fredkin or CSWAP). 'qsimulatR' supports plotting of circuits and is able to export circuits to 'Qiskit' <https://qiskit.org/>, a python package which can be used to run on IBM's hardware <https://quantum-computing.ibm.com/>.
Imports: methods, stats
Suggests: knitr, markdown, rmarkdown
License: GPL-3
LazyData: true
RoxygenNote: 7.1.1
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/HISKP-LQCD/qsimulatR
BugReports: https://github.com/HISKP-LQCD/qsimulatR/issues
Collate: 'state.R' 'sqgate.R' 'ccqgate.R' 'cnotgate.R' 'cqgate.R' 'export2qiskit.R' 'measure.R' 'phase_estimation.R' 'plot-qstate.R' 'qft.R' 'qsimulatR-package.R' 'swapgate.R'
NeedsCompilation: no
Packaged: 2020-12-07 14:11:13 UTC; urbach
Author: Johann Ostmeyer [aut], Carsten Urbach [aut, cre]
Maintainer: Carsten Urbach <urbach@hiskp.uni-bonn.de>
Repository: CRAN
Date/Publication: 2020-12-09 09:20:05 UTC

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New package outsider with initial version 0.1.1
Package: outsider
Type: Package
Title: Install and Run Programs, Outside of R, Inside of R
Version: 0.1.1
Authors@R: c( person("Dom", "Bennett", role = c("aut", "cre", "cph"), email = "dominic.john.bennett@gmail.com", comment = c(ORCID = "0000-0003-2722-1359")), person("Hannes", "Hettling", role = "ctb", comment = c(ORCID = "0000-0003-4144-2238")), person("Daniele", "Silvestro", role = "ctb", comment = c(ORCID = "0000-0003-0100-0961")), person("Rutger", "Vos", role = "ctb", comment = c(ORCID = "0000-0001-9254-7318")), person("Alexandre", "Antonelli", role = "ctb", comment = c(ORCID = "0000-0003-1842-9297")), person("Anna", "Krystalli", role = "rev", email = "annakrystalli@googlemail.com"))
Maintainer: Dom Bennett <dominic.john.bennett@gmail.com>
Description: Install and run external command-line programs in R through use of 'Docker' <https://www.docker.com/> and online repositories.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
SystemRequirements: docker (>=18.0.0)
URL: https://github.com/ropensci/outsider#readme, https://docs.ropensci.org/outsider/
BugReports: https://github.com/ropensci/outsider/issues/
Language: en-GB
Depends: R (>= 3.3.0)
Imports: outsider.base, remotes (>= 2.0), crayon, jsonlite, tibble, curl, yaml
Suggests: testthat (>= 2.1), knitr (>= 1.0), ape, rlang, ssh
NeedsCompilation: no
Packaged: 2020-12-07 17:54:21 UTC; domben
Author: Dom Bennett [aut, cre, cph] (<https://orcid.org/0000-0003-2722-1359>), Hannes Hettling [ctb] (<https://orcid.org/0000-0003-4144-2238>), Daniele Silvestro [ctb] (<https://orcid.org/0000-0003-0100-0961>), Rutger Vos [ctb] (<https://orcid.org/0000-0001-9254-7318>), Alexandre Antonelli [ctb] (<https://orcid.org/0000-0003-1842-9297>), Anna Krystalli [rev]
Repository: CRAN
Date/Publication: 2020-12-09 09:20:09 UTC

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New package gfiUltra with initial version 1.0.0
Package: gfiUltra
Title: Generalized Fiducial Inference for Ultrahigh-Dimensional Regression
Version: 1.0.0
Authors@R: person(given = "Stéphane", family = "Laurent", role = c("aut", "cre"), email = "laurent_step@outlook.fr")
Description: Variable selection for ultrahigh-dimensional ("large p small n") linear Gaussian models using a fiducial framework allowing to draw inference on the parameters. Reference: Lai, Hannig & Lee (2015) <doi:10.1080/01621459.2014.931237>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports: SIS, stats, utils, lazyeval, mvtnorm
URL: https://github.com/stla/gfiUltra
BugReports: https://github.com/stla/gfiUltra/issues
NeedsCompilation: no
Packaged: 2020-12-07 11:47:55 UTC; stla
Author: Stéphane Laurent [aut, cre]
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2020-12-09 09:10:02 UTC

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New package dtrSurv with initial version 1.0
Package: dtrSurv
Type: Package
Title: Dynamic Treatment Regimes for Survival Analysis
Version: 1.0
Date: 2020-12-07
Author: Shannon T. Holloway, Hunyong Cho
Maintainer: Shannon T. Holloway <sthollow@ncsu.edu>
Description: Provides methods for estimating multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring.
License: GPL-2
NeedsCompilation: yes
Repository: CRAN
Encoding: UTF-8
Depends: methods, stats, survival
RoxygenNote: 7.1.1
Collate: 'VerifyCriticalValue.R' 'VerifyData.R' 'VerifyERT.R' 'VerifyModels.R' 'VerifyRandomSplit.R' 'VerifyReplace.R' 'VerifySampleSize.R' 'VerifySplitRule.R' 'VerifySurvivalTime.R' 'VerifyTieMethod.R' 'VerifyTimePoints.R' 'VerifyTxName.R' 'VerifyUniformSplit.R' 'VerifyUsePrevTime.R' 'class_CriticalValue.R' 'class_CriticalValueMean.R' 'class_CriticalValueSurvival.R' 'class_TreeConditions.R' 'class_TreeType.R' 'criticalValue.R' 'class_TimeInfo.R' 'class_Parameters.R' 'predictSurvTree.R' 'class_SurvRF.R' 'survRF.R' 'shiftMat.R' 'class_Optimal.R' 'class_DTRSurvStep.R' 'class_DTRSurv.R' 'dtrSurv.R'
Packaged: 2020-12-07 20:03:43 UTC; sthollow
Date/Publication: 2020-12-09 09:50:03 UTC

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New package coro with initial version 1.0.0
Package: coro
Title: 'Coroutines' for R
Version: 1.0.0
Authors@R: c( person("Lionel", "Henry", ,"lionel@rstudio.com", c("aut", "cre")), person("RStudio", role = "cph") )
Description: Provides 'coroutines' for R, a family of functions that can be suspended and resumed later on. This includes 'async' functions (which await) and generators (which yield). 'Async' functions are based on the concurrency framework of the 'promises' package. Generators are based on a dependency free iteration protocol defined in 'coro' and are compatible with iterators from the 'reticulate' package.
Depends: R (>= 3.5.0)
Imports: rlang (>= 0.4.9)
Suggests: knitr, later (>= 1.1.0), magrittr (>= 2.0.0), promises, reticulate, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: MIT + file LICENSE
URL: https://github.com/r-lib/coro
BugReports: https://github.com/r-lib/coro/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2020-12-07 14:32:44 UTC; lionel
Author: Lionel Henry [aut, cre], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>
Repository: CRAN
Date/Publication: 2020-12-09 09:20:13 UTC

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New package CompAREdesign with initial version 1.5
Package: CompAREdesign
Title: Statistical Functions for the Design of Studies with Composite Endpoints
Version: 1.5
Author: Marta Bofill Roig [aut, cre], Jordi Cortes Martinez [aut], Guadalupe Gomez Melis [ctb]
Maintainer: Marta Bofill Roig <marta.bofill.roig@upc.edu>
Description: It has been designed to calculate the required sample size in randomized clinical trials with composite endpoints. This package also includes functions to calculate the probability of observing the composite endpoint and the expected effect on the composite endpoint, among others. The methods implemented can be found in Bofill & Gómez (2019) (DOI:10.1002/sim.8092) and Gómez & Lagakos (2013) (DOI:10.1002/sim.5547).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-12-03 08:59:16 UTC; marta.bofill
Repository: CRAN
Date/Publication: 2020-12-09 09:10:05 UTC

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New package bpcs with initial version 1.0.0
Package: bpcs
Title: Bayesian Paired Comparison Analysis with Stan
Version: 1.0.0
Authors@R: c( person(given = "David", family = "Issa Mattos", role = c("aut", "cre"), email = "issamattos.david@gmail.com", comment = c(ORCID = "0000-0002-2501-9926")), person(given="Erika", family="Martins Silva Ramos", role = c("aut"), email = "erikamsramos@gmail.com", comment = c(ORCID = "0000-0001-7393-1410")) )
Description: Models for the analysis of paired comparison data using Stan. The models include Bayesian versions of the Bradley-Terry model, including random effects (1 level), generalized model for predictors, order effect (home advantage) and the variations for the Davidson (1970) model to handle ties. Additionally, we provide a number of functions to facilitate inference and obtaining results with these models. References: Bradley and Terry (1952) <doi:10.2307/2334029>; Davidson (1970) <doi:10.1080/01621459.1970.10481082>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
URL: https://github.com/davidissamattos/bpcs, https://davidissamattos.github.io/bpcs/
BugReports: https://github.com/davidissamattos/bpcs/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Biarch: true
Depends: R (>= 4.0.0)
Imports: coda, dplyr, tidyr, stringr, ggplot2, gtools, methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.20.0), rstantools (>= 2.1.0), tibble, tidyselect, HDInterval, shinystan, loo, magrittr, badger, stats, rlang, knitr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.20.0), StanHeaders (>= 2.20.0)
SystemRequirements: GNU make
Suggests: rmarkdown, testthat, covr, bayesplot, kableExtra
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-12-07 12:40:18 UTC; davidis
Author: David Issa Mattos [aut, cre] (<https://orcid.org/0000-0002-2501-9926>), Erika Martins Silva Ramos [aut] (<https://orcid.org/0000-0001-7393-1410>)
Maintainer: David Issa Mattos <issamattos.david@gmail.com>
Repository: CRAN
Date/Publication: 2020-12-09 09:20:16 UTC

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Package webmockr updated to version 0.7.4 with previous version 0.7.0 dated 2020-09-30

Title: Stubbing and Setting Expectations on 'HTTP' Requests
Description: Stubbing and setting expectations on 'HTTP' requests. Includes tools for stubbing 'HTTP' requests, including expected request conditions and response conditions. Match on 'HTTP' method, query parameters, request body, headers and more. Can be used for unit tests or outside of a testing context.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Aaron Wolen [ctb] (<https://orcid.org/0000-0003-2542-2202>), rOpenSci [fnd] (https://ropensci.org)
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>

Diff between webmockr versions 0.7.0 dated 2020-09-30 and 0.7.4 dated 2020-12-09

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Package TreeTools updated to version 1.4.1 with previous version 1.4.0 dated 2020-10-19

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of node support; calculation of ancestor-descendant relationships; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <http://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Emmanuel Paradis [cph] (<https://orcid.org/0000-0003-3092-2199>)
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeTools versions 1.4.0 dated 2020-10-19 and 1.4.1 dated 2020-12-09

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Package riskRegression updated to version 2020.12.08 with previous version 2020.02.05 dated 2020-02-08

Title: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
Description: Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.
Author: Thomas Alexander Gerds [aut, cre], Paul Blanche [ctb], Rikke Mortensen [ctb], Marvin Wright [ctb], Nikolaj Tollenaar [ctb], John Muschelli [ctb], Ulla Brasch Mogensen [ctb], Brice Ozenne [aut] (<https://orcid.org/0000-0001-9694-2956>)
Maintainer: Thomas Alexander Gerds <tag@biostat.ku.dk>

Diff between riskRegression versions 2020.02.05 dated 2020-02-08 and 2020.12.08 dated 2020-12-09

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Package quantmod updated to version 0.4.18 with previous version 0.4.17 dated 2020-03-31

Title: Quantitative Financial Modelling Framework
Description: Specify, build, trade, and analyse quantitative financial trading strategies.
Author: Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Wouter Thielen [ctb], Paul Teetor [ctb], Steve Bronder [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

Diff between quantmod versions 0.4.17 dated 2020-03-31 and 0.4.18 dated 2020-12-09

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Package puls updated to version 0.1.1 with previous version 0.1.0 dated 2020-12-02

Title: Partitioning Using Local Subregions
Description: A method of clustering functional data using subregion information of the curves. It is intended to supplement the 'fda' and 'fda.usc' packages in functional data object clustering. It also facilitates the printing and plotting of the results in a tree format and limits the partitioning candidates into a specific set of subregions.
Author: Mark Greenwood [aut] (<https://orcid.org/0000-0001-6933-1201>), Tan Tran [aut, cre] (<https://orcid.org/0000-0001-9881-6339>)
Maintainer: Tan Tran <vinhtantran@gmail.com>

Diff between puls versions 0.1.0 dated 2020-12-02 and 0.1.1 dated 2020-12-09

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New package libr with initial version 1.0.1
Package: libr
Type: Package
Title: Libraries, Data Dictionaries, and a Data Step for R
Version: 1.0.1
Author: David J. Bosak
Maintainer: David Bosak <dbosak01@gmail.com>
Description: Contains a set of functions to create data libraries, generate data dictionaries, and simulate a data step. The libname() function will load a directory of data into a library in one line of code. The dictionary() function will generate data dictionaries for individual data frames or an entire library. And the datestep() function will perform row-by-row data processing.
License: CC0
Encoding: UTF-8
LazyData: true
URL: https://github.com/dbosak01/libr
BugReports: https://github.com/dbosak01/libr/issues
Depends: R (>= 4.0.0)
Suggests: testthat, knitr, rmarkdown, foreign, magrittr
Imports: readr, readxl, haven, openxlsx, crayon, dplyr, tibble, tools
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-12-07 06:16:59 UTC; User
Repository: CRAN
Date/Publication: 2020-12-09 09:00:02 UTC

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New package eyedata with initial version 0.1.0
Package: eyedata
Title: Open Source Ophthalmic Data Sets Curated for R
Version: 0.1.0
Authors@R: c( person("Tjebo", "Heeren", role = c("aut", "cre"), email = "tjebo@gmx.de", comment = c(ORCID = "0000-0001-5297-2301")), person("Dun Jack", "Fu", role = c("aut"), comment = c(ORCID = "0000-0003-2852-6912")))
Description: Open source data allows for reproducible research and helps advance our knowledge. The purpose of this package is to collate open source ophthalmic data sets curated for direct use. This is real life data of people with intravitreal injections with anti-vascular endothelial growth factor (anti-VEGF), due to age-related macular degeneration or diabetic macular edema. Associated publications of the data sets: Fu et al. (2020) <doi:10.1001/jamaophthalmol.2020.5044>, Moraes et al (2020) <doi:10.1016/j.ophtha.2020.09.025>, Fasler et al. (2019) <doi:10.1136/bmjopen-2018-027441>, Arpa et al. (2020) <doi:10.1136/bjophthalmol-2020-317161>, Kern et al. 2020, <doi:10.1038/s41433-020-1048-0>.
License: MIT + file LICENSE
URL: https://github.com/tjebo/eyedata
BugReports: https://github.com/tjebo/eyedata/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 4.0)
Imports: dplyr (>= 1.0.2)
NeedsCompilation: no
Packaged: 2020-12-07 08:16:46 UTC; tjebo
Author: Tjebo Heeren [aut, cre] (<https://orcid.org/0000-0001-5297-2301>), Dun Jack Fu [aut] (<https://orcid.org/0000-0003-2852-6912>)
Maintainer: Tjebo Heeren <tjebo@gmx.de>
Repository: CRAN
Date/Publication: 2020-12-09 09:00:07 UTC

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Package explor updated to version 0.3.7 with previous version 0.3.6 dated 2020-05-02

Title: Interactive Interfaces for Results Exploration
Description: Shiny interfaces and graphical functions for multivariate analysis results exploration.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

Diff between explor versions 0.3.6 dated 2020-05-02 and 0.3.7 dated 2020-12-09

 DESCRIPTION                                        |   14 
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 NAMESPACE                                          |    2 
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Package basf updated to version 0.2.0 with previous version 0.1.0 dated 2020-04-15

Title: Plot Simple Features with 'base' Sensibilities
Description: Resurrects the standard plot for shapes established by the 'base' and 'graphics' packages. This is suited to workflows that require plotting using the established and traditional idioms of plotting spatially coincident data where it belongs. This package depends on 'sf' and only replaces the plot method.
Author: Michael Sumner [aut, cre]
Maintainer: Michael Sumner <mdsumner@gmail.com>

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Package AnchorRegression updated to version 0.1.1 with previous version 0.1.0 dated 2020-12-02

Title: Perform AnchorRegression
Description: Performs AnchorRegression proposed by Rothenhäusler et al. 2020. The code is adapted from the original paper repository. (<https://github.com/rothenhaeusler/anchor-regression>) The code was developed independently from the authors of the paper.
Author: Simon Zimmermann
Maintainer: Simon Zimmermann <zimmersi@hu-berlin.de>

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Package metapower updated to version 0.2.1 with previous version 0.2.0 dated 2020-09-19

Title: Power Analysis for Meta-Analysis
Description: A simple and effective tool for computing and visualizing statistical power for meta-analysis, including power analysis of main effects (Jackson & Turner, 2017)<doi:10.1002/jrsm.1240>, test of homogeneity (Pigott, 2012)<doi:10.1007/978-1-4614-2278-5>, subgroup analysis, and categorical moderator analysis (Hedges & Pigott, 2004)<doi:10.1037/1082-989X.9.4.426>.
Author: Jason Griffin [aut, cre]
Maintainer: Jason Griffin <jasongriffin138@gmail.com>

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Package bfsMaps updated to version 0.9.5 with previous version 0.9.4 dated 2020-04-17

Title: Plot Maps from Switzerland by Swiss Federal Statistical Office
Description: At the Swiss Federal Statistical Office (SFSO), spatial maps of Switzerland are available free of charge as 'Cartographic bases for small-scale thematic mapping'. This package contains convenience functions to import ESRI (Environmental Systems Research Institute) shape files using the package 'rgdal' and to plot them easily and quickly without having to worry too much about the technical details. It contains utilities to combine multiple areas to one single polygon and to find neighbours for single regions. For any point on a map, a special locator can be used to determine to which municipality, district or canton it belongs.
Author: Andri Signorell [aut, cre]
Maintainer: Andri Signorell <andri@signorell.net>

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Package popsom updated to version 5.0 with previous version 4.3.1 dated 2020-08-29

Title: Tools for Building, Visualizing, and Evaluating Self-Organizing Maps
Description: A self-organizing map package with three distinguishing features: (1) Automatic cluster centroid detection and visualization using starbursts. (2) Maintains two models of the data: (a) a self-organizing map model (b) a centroid based clustering model. (3) A very efficient stochastic training algorithm based on ideas from tensor algebra.
Author: Lutz Hamel [aut, cre], Benjamin Ott [aut], Gregory Breard [aut], Robert Tatoian [aut], Michael Eiger [aut], Vishakh Gopu [aut]
Maintainer: Lutz Hamel <lutzhamel@uri.edu>

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Package hagis updated to version 3.1.1 with previous version 3.1.0 dated 2020-10-07

Title: Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity
Description: Analysis of plant pathogen pathotype survey data. Functions provided calculate distribution of susceptibilities, distribution of complexities with statistics, pathotype frequency distribution, as well as diversity indices for pathotypes. This package is meant to be a direct replacement for Herrmann, Löwer and Schachtel's (1999) <doi:10.1046/j.1365-3059.1999.00325.x> Habgood-Gilmour Spreadsheet, 'HaGiS', previously used for pathotype analysis.
Author: Austin G. McCoy [aut, ccp] (<https://orcid.org/0000-0003-2483-4184>), Zachary Noel [aut, ccp] (<https://orcid.org/0000-0001-6375-8300>), Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Martin Chilvers [aut] (<https://orcid.org/0000-0001-8832-1666>), Zhian N. Kamvar [ctb, rev] (<https://orcid.org/0000-0003-1458-7108>), Michigan Soybean Promotion Committee [fnd], Project GREEEN [fnd], North Central Soybean Research Program [fnd], GRDC Project DAQ00186 [fnd]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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