Wed, 03 Feb 2021

Package Signac updated to version 1.1.1 with previous version 1.1.0 dated 2020-11-06

Title: Analysis of Single-Cell Chromatin Data
Description: A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2020) <doi:10.1101/2020.11.09.373613>.
Author: Tim Stuart [aut, cre] (<https://orcid.org/0000-0002-3044-0897>), Avi Srivastava [aut] (<https://orcid.org/0000-0001-9798-2079>), Paul Hoffman [ctb] (<https://orcid.org/0000-0002-7693-8957>), Rahul Satija [ctb] (<https://orcid.org/0000-0001-9448-8833>)
Maintainer: Tim Stuart <tstuart@nygenome.org>

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Package netCoin updated to version 1.2.21 with previous version 1.1.26 dated 2020-12-16

Title: Interactive Analytic Networks
Description: Create interactive analytic networks. It joins the data analysis power of R to obtain coincidences, co-occurrences and correlations, and the visualization libraries of 'JavaScript' in one package.
Author: Modesto Escobar [cre, aut, cph] (<https://orcid.org/0000-0003-2072-6071>), David Barrios [aut], Carlos Prieto [aut], Luis Martinez-Uribe [aut] (<https://orcid.org/0000-0002-7795-3972>), Pablo Cabrera-Álvarez [aut]
Maintainer: Modesto Escobar <modesto@usal.es>

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Package mBvs updated to version 1.4 with previous version 1.3 dated 2018-08-28

Title: Bayesian Variable Selection Methods for Multivariate Data
Description: Bayesian variable selection methods for data with multivariate responses and multiple covariates. The package contains implementations of multivariate Bayesian variable selection methods for continuous data and zero-inflated count data.
Author: Kyu Ha Lee, Mahlet G. Tadesse, Brent A. Coull, Jacqueline R. Starr
Maintainer: Kyu Ha Lee <klee15239@gmail.com>

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Package geobr updated to version 1.5 with previous version 1.4 dated 2020-10-04

Title: Loads Shapefiles of Official Spatial Data Sets of Brazil
Description: Easy access to official spatial data sets of Brazil as 'sf' objects in R. The package includes a wide range of geospatial data available at various geographic scales and for various years with harmonized attributes, projection and topology.
Author: Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Caio Nogueira Goncalves [aut], Paulo Henrique Fernandes de Araujo [ctb], Guilherme Duarte Carvalho [ctb], Rodrigo Almeida de Arruda [ctb], Igor Nascimento [ctb], Barbara Santiago Pedreira da Costa [ctb], Welligtton Silva Cavedo [ctb], Pedro R. Andrade [ctb], Alan da Silva [ctb], Carlos Kauê Vieira Braga [ctb], Carl Schmertmann [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package combinedevents updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-23

Title: Calculate Scores and Marks for Track and Field Combined Events
Description: Includes functions to calculate scores and marks for track and field combined events competitions. The functions are based on the scoring tables for combined events set forth by the International Association of Athletics Federation (2001).
Author: Katie Frank [aut, cre] (<https://orcid.org/0000-0002-0353-0328>)
Maintainer: Katie Frank <katiexfrank@gmail.com>

Diff between combinedevents versions 0.1.0 dated 2020-09-23 and 0.1.1 dated 2021-02-03

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Package RFCCA updated to version 1.0.4 with previous version 1.0.3 dated 2021-01-04

Title: Random Forest with Canonical Correlation Analysis
Description: Random Forest with Canonical Correlation Analysis (RFCCA) is a random forest method for estimating the canonical correlations between two sets of variables depending on the subject-related covariates. The trees are built with a splitting rule specifically designed to partition the data to maximize the canonical correlation heterogeneity between child nodes. The method is described in Alakus et al. (2020) <arXiv:2011.11555>. RFCCA uses 'randomForestSRC' package (Ishwaran and Kogalur, 2020) by freezing at the version 2.9.3. The custom splitting rule feature is utilised to apply the proposed splitting rule.
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] (Author of included randomForestSRC codes), Udaya B. Kogalur [ctb] (Author of included randomForestSRC codes)
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>

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Package pairwiseComparisons updated to version 3.1.3 with previous version 3.1.2 dated 2021-01-15

Title: Multiple Pairwise Comparison Tests
Description: Multiple pairwise comparison tests on tidy data for one-way analysis of variance for both between-subjects and within-subjects designs. Currently, it supports only the most common types of statistical analyses and tests: parametric (Welch's and Student's t-test), nonparametric (Durbin-Conover and Dunn test), robust (Yuen’s trimmed means test), and Bayes Factor (Student's t-test).
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package emmeans updated to version 1.5.4 with previous version 1.5.3 dated 2020-12-09

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 dbplyr updated to version 2.1.0 with previous version 2.0.0 dated 2020-11-03

Title: A 'dplyr' Back End for Databases
Description: A 'dplyr' back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author.
Author: Hadley Wickham [aut, cre], Maximilian Girlich [aut], Edgar Ruiz [aut], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package analogsea updated to version 0.9.4 with previous version 0.9.0 dated 2020-10-08

Title: Interface to 'Digital Ocean'
Description: Provides a set of functions for interacting with the 'Digital Ocean' API <https://www.digitalocean.com/>, including creating images, destroying them, rebooting, getting details on regions, and available images.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Hadley Wickham [aut], Winston Chang [aut], Bob Rudis [ctb], Bryce Mecum [ctb] (<https://orcid.org/0000-0002-0381-3766>), RStudio [cph]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between analogsea versions 0.9.0 dated 2020-10-08 and 0.9.4 dated 2021-02-03

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Package skewlmm updated to version 0.2.3 with previous version 0.2.2 dated 2020-07-08

Title: Scale Mixture of Skew-Normal Linear Mixed Models
Description: It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) type algorithm, including some possibilities for modeling the within-subject dependence. Details can be found in Schumacher, Lachos and Matos (2021) <doi:10.1002/sim.8870>.
Author: Fernanda L. Schumacher [aut, cre] (<https://orcid.org/0000-0002-5724-8918>), Larissa A. Matos [aut] (<https://orcid.org/0000-0002-2635-0901>), Victor H. Lachos [aut] (<https://orcid.org/0000-0002-7239-2459>)
Maintainer: Fernanda L. Schumacher <fernandalschumacher@gmail.com>

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Package performance updated to version 0.7.0 with previous version 0.6.1 dated 2020-12-09

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 ckanr updated to version 0.6.0 with previous version 0.5.0 dated 2020-07-30

Title: Client for the Comprehensive Knowledge Archive Network ('CKAN') API
Description: Client for 'CKAN' API (<https://ckan.org/>). Includes interface to 'CKAN' 'APIs' for search, list, show for packages, organizations, and resources. In addition, provides an interface to the 'datastore' API.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Imanuel Costigan [aut], Wush Wu [aut] (<https://orcid.org/0000-0001-5180-0567>), Florian Mayer [aut] (<https://orcid.org/0000-0003-4269-4242>), Sharla Gelfand [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between ckanr versions 0.5.0 dated 2020-07-30 and 0.6.0 dated 2021-02-03

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Package cachem updated to version 1.0.2 with previous version 1.0.1 dated 2021-01-21

Title: Cache R Objects with Automatic Pruning
Description: Key-value stores with automatic pruning. Caches can limit either their total size or the age of the oldest object (or both), automatically pruning objects to maintain the constraints.
Author: Winston Chang [aut, cre], RStudio [cph, fnd]
Maintainer: Winston Chang <winston@rstudio.com>

Diff between cachem versions 1.0.1 dated 2021-01-21 and 1.0.2 dated 2021-02-03

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Package mkin updated to version 1.0.0 with previous version 0.9.50.3 dated 2020-10-08

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] (contributed to mkinresplot()), René Lehmann [ctb] (ilr() and invilr()), Eurofins Regulatory AG [cph] (copyright for some of the contributions of JR 2012-2014)
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

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 mkin-1.0.0/mkin/R/mkinerrmin.R                                                                      |    4 
 mkin-1.0.0/mkin/R/mkinerrplot.R                                                                     |    2 
 mkin-1.0.0/mkin/R/mkinfit.R                                                                         |   46 +-
 mkin-1.0.0/mkin/R/mkinmod.R                                                                         |   90 ++--
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Package shinyWidgets updated to version 0.5.7 with previous version 0.5.6 dated 2021-01-20

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], David Granjon [aut], Ian Fellows [ctb] (Methods for mutating vertical tabs & updateMultiInput), Wil Davis [ctb] (numericRangeInput function), Spencer Matthews [ctb] (autoNumeric methods), JavaScript and CSS libraries authors [ctb, cph] (All authors are listed in LICENSE.md)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package ontologyIndex updated to version 2.7 with previous version 2.5 dated 2019-01-08

Title: Functions for Reading Ontologies into R
Description: Functions for reading ontologies into R as lists and manipulating sets of ontological terms - 'ontologyX: A suite of R packages for working with ontological data', Greene et al 2017 <doi:10.1093/bioinformatics/btw763>.
Author: Daniel Greene <dg333@cam.ac.uk>
Maintainer: Daniel Greene <dg333@cam.ac.uk>

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Package emdi updated to version 2.0.2 with previous version 2.0.1 dated 2020-07-10

Title: Estimating and Mapping Disaggregated Indicators
Description: Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation, the model-based unit-level approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010) \doi{10.1002/cjs.10051}), the area-level model (see "Estimates of income for small places: An application of James-Stein procedures to Census Data" by Fay and Herriot (1979) \doi{10.1080/01621459.1979.10482505}) and various extensions of it (adjusted variance estimation methods, log and arcsin transformation, spatial, robust and measurement error models), as well as their precision estimates. The assessment of the used model is supported by a summary and diagnostic plots. For a suitable presentation of estimates, map plots can be easily created. Furthermore, results can easily be exported to excel. For a detailed description of the package and the methods used see "The {R} Package {emdi} for Estimating and Mapping Regionally Disaggregated Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07> and the second package vignette "A Framework for Producing Small Area Estimates Based on Area-Level Models in {R}".
Author: Sylvia Harmening [aut], Ann-Kristin Kreutzmann [aut], Soeren Pannier [aut, cre], Natalia Rojas-Perilla [aut], Nicola Salvati [aut], Timo Schmid [aut], Matthias Templ [aut], Nikos Tzavidis [aut], Nora Würz [aut]
Maintainer: Soeren Pannier <soeren.pannier@fu-berlin.de>

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Package wrapr updated to version 2.0.7 with previous version 2.0.6 dated 2020-12-06

Title: Wrap R Tools for Debugging and Parametric Programming
Description: Tools for writing and debugging R code. Provides: '%.>%' dot-pipe (an 'S3' configurable pipe), unpack/to (R style multiple assignment/return), 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting concatenate), ':=' (named map builder), 'let()' (converts non-standard evaluation interfaces to parametric standard evaluation interfaces, inspired by 'gtools::strmacro()' and 'base::bquote()'), and more.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package openVA updated to version 1.0.12 with previous version 1.0.11 dated 2020-05-04

Title: Automated Method for Verbal Autopsy
Description: Implements multiple existing open-source algorithms for coding cause of death from verbal autopsies. The methods implemented include 'InterVA4' by Byass et al (2012) <doi:10.3402/gha.v5i0.19281>, 'InterVA5' by Byass at al (2019) <doi:10.1186/s12916-019-1333-6>, 'InSilicoVA' by McCormick et al (2016) <doi:10.1080/01621459.2016.1152191>, 'NBC' by Miasnikof et al (2015) <doi:10.1186/s12916-015-0521-2>, and a replication of 'Tariff' method by James et al (2011) <doi:10.1186/1478-7954-9-31> and Serina, et al. (2015) <doi:10.1186/s12916-015-0527-9>. It also provides tools for data manipulation tasks commonly used in Verbal Autopsy analysis and implements easy graphical visualization of individual and population level statistics. The 'NBC' method is implemented by the 'nbc4va' package that can be installed from <https://github.com/rrwen/nbc4va>. Note that this package was not developed by authors affiliated with the Institute for Health Metrics and Evaluation and thus unintentional discrepancies may exist in the implementation of the 'Tariff' method.
Author: Zehang Richard Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Richard Li <lizehang@gmail.com>

Diff between openVA versions 1.0.11 dated 2020-05-04 and 1.0.12 dated 2021-02-03

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Package lavaanPlot updated to version 0.6.0 with previous version 0.5.1 dated 2018-04-25

Title: Path Diagrams for Lavaan Models via DiagrammeR
Description: Plots path diagrams from models in lavaan using the plotting functionality from the DiagrammeR package. DiagrammeR provides nice path diagrams via Graphviz, and these functions make it easy to generate these diagrams from a lavaan path model without having to write the DOT language graph specification.
Author: Alex Lishinski
Maintainer: Alex Lishinski <alexlishinski@gmail.com>

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Package ennet updated to version 0.2.1 with previous version 0.2.0 dated 2021-01-21

Title: Utilities to Extract and Analyse Text Data from the Emergency Nutrition Network Forum
Description: The Emergency Nutrition Network or en-net forum is the go to online forum for field practitioners requiring prompt technical advice for operational challenges for which answers are not readily accessible in current guidelines. The questions and the corresponding answers raised within en-net can provide insight into what the key topics of discussion are within the nutrition sector. This package provides utility functions for the extraction, processing and analysis of text data from the online forum.
Author: Ernest Guevarra [aut, cre] (<https://orcid.org/0000-0002-4887-4415>)
Maintainer: Ernest Guevarra <ernest@guevarra.io>

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Package asciiSetupReader updated to version 2.4.0 with previous version 2.3.2 dated 2020-11-28

Title: Reads Fixed-Width ASCII Data Files (.txt or .dat) that Have Accompanying Setup Files (.sps or .sas)
Description: Lets you open a fixed-width ASCII file (.txt or .dat) that has an accompanying setup file (.sps or .sas). These file combinations are sometimes referred to as .txt+.sps, .txt+.sas, .dat+.sps, or .dat+.sas. This will only run in a txt-sps or txt-sas pair in which the setup file contains instructions to open that text file. It will NOT open other text files, .sav, .sas, or .por data files. Fixed-width ASCII files with setup files are common in older (pre-2000) government data.
Author: Jacob Kaplan [aut, cre] (<https://orcid.org/0000-0002-0601-0387>)
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

Diff between asciiSetupReader versions 2.3.2 dated 2020-11-28 and 2.4.0 dated 2021-02-03

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Package yorkr updated to version 0.0.19 with previous version 0.0.18 dated 2021-01-29

Title: Analyze Cricket Performances Based on Data from Cricsheet
Description: Analyzing performances of cricketers and cricket teams based on 'yaml' match data from Cricsheet <https://cricsheet.org/>.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

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Package swissdd updated to version 1.1.0 with previous version 1.0.4 dated 2020-10-25

Title: Get Swiss Federal and Cantonal Vote Results from Opendata.swiss
Description: Builds upon the real time data service as well as the archive for national votes <https://opendata.swiss/api/3/action/package_show?id=echtzeitdaten-am-abstimmungstag-zu-eidgenoessischen-abstimmungsvorlagen> and cantonal votes <https://opendata.swiss/api/3/action/package_show?id=echtzeitdaten-am-abstimmungstag-zu-kantonalen-abstimmungsvorlagen>. It brings the results of Swiss popular votes, aggregated at the geographical level of choice, into R. Additionally, it allows to retrieve data from the Swissvotes-Database, one of the most comprehensive data platforms on Swiss referendums and initiatives <https://swissvotes.ch/page/dataset/swissvotes_dataset.csv>.
Author: Thomas Lo Russo [cre, aut], Thomas Willi [aut]
Maintainer: Thomas Lo Russo <th.lorusso@gmail.com>

Diff between swissdd versions 1.0.4 dated 2020-10-25 and 1.1.0 dated 2021-02-03

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Package RcppCWB updated to version 0.3.2 with previous version 0.3.1 dated 2021-02-03

Title: 'Rcpp' Bindings for the 'Corpus Workbench' ('CWB')
Description: 'Rcpp' Bindings for the C code of the 'Corpus Workbench' ('CWB'), an indexing and query engine to efficiently analyze large corpora (<http://cwb.sourceforge.net>). 'RcppCWB' is licensed under the GNU GPL-3, in line with the GPL-3 license of the 'CWB' (<https://www.r-project.org/Licenses/GPL-3>). The 'CWB' relies on 'pcre' (BSD license, see <http://www.pcre.org/licence.txt>) and 'GLib' (LGPL license, see <https://www.gnu.org/licenses/lgpl-3.0.en.html>). See the file LICENSE.note for further information. The package includes modified code of the 'rcqp' package (GPL-2, see <https://cran.r-project.org/package=rcqp>). The original work of the authors of the 'rcqp' package is acknowledged with great respect, and they are listed as authors of this package. To achieve cross-platform portability (including Windows), using 'Rcpp' for wrapper code is the approach used by 'RcppCWB'.
Author: Andreas Blaette [aut, cre], Bernard Desgraupes [aut], Sylvain Loiseau [aut], Oliver Christ [ctb], Bruno Maximilian Schulze [ctb], Stefan Evert [ctb], Arne Fitschen [ctb], Jeroen Ooms [ctb], Marius Bertram [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

Diff between RcppCWB versions 0.3.1 dated 2021-02-03 and 0.3.2 dated 2021-02-03

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Package iai updated to version 1.5.0 with previous version 1.4.0 dated 2020-12-09

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>

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Package crimeutils updated to version 0.3.0 with previous version 0.2.0 dated 2020-10-30

Title: A Comprehensive Set of Functions to Clean, Analyze, and Present Crime Data
Description: A collection of functions that make it easier to understand crime (or other) data, and assist others in understanding it. The package helps you read data from various sources, clean it, fix column names, and graph the data.
Author: Jacob Kaplan [aut, cre] (<https://orcid.org/0000-0002-0601-0387>)
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

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Package SemiCompRisks updated to version 3.4 with previous version 3.3 dated 2019-01-28

Title: Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data
Description: Hierarchical multistate models are considered to perform the analysis of independent/clustered semi-competing risks data. The package allows to choose the specification for model components from a range of options giving users substantial flexibility, including: accelerated failure time or proportional hazards regression models; parametric or non-parametric specifications for baseline survival functions and cluster-specific random effects distribution; a Markov or semi-Markov specification for terminal event following non-terminal event. While estimation is mainly performed within the Bayesian paradigm, the package also provides the maximum likelihood estimation approach for several parametric models. The package also includes functions for univariate survival analysis as complementary analysis tools.
Author: Kyu Ha Lee, Catherine Lee, Danilo Alvares, and Sebastien Haneuse
Maintainer: Kyu Ha Lee <klee15239@gmail.com>

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Package MatrixCorrelation updated to version 0.9.5 with previous version 0.9.4 dated 2020-08-03

Title: Matrix Correlation Coefficients
Description: Computation and visualization of matrix correlation coefficients. The main method is the Similarity of Matrices Index, while various related measures like r1, r2, r3, r4, Yanai's GCD, RV, RV2, adjusted RV, Rozeboom's linear correlation and Coxhead's coefficient are included for comparison and flexibility.
Author: Kristian Hovde Liland
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

Diff between MatrixCorrelation versions 0.9.4 dated 2020-08-03 and 0.9.5 dated 2021-02-03

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Package Factoshiny updated to version 2.4 with previous version 2.3 dated 2020-12-11

Title: Perform Factorial Analysis from 'FactoMineR' with a Shiny Application
Description: Perform factorial analysis with a menu and draw graphs interactively thanks to 'FactoMineR' and a Shiny application.
Author: Pauline Vaissie, Astrid Monge, Francois Husson
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>

Diff between Factoshiny versions 2.3 dated 2020-12-11 and 2.4 dated 2021-02-03

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Package RcppCWB updated to version 0.3.1 with previous version 0.3.0 dated 2020-07-08

Title: 'Rcpp' Bindings for the 'Corpus Workbench' ('CWB')
Description: 'Rcpp' Bindings for the C code of the 'Corpus Workbench' ('CWB'), an indexing and query engine to efficiently analyze large corpora (<http://cwb.sourceforge.net>). 'RcppCWB' is licensed under the GNU GPL-3, in line with the GPL-3 license of the 'CWB' (<https://www.r-project.org/Licenses/GPL-3>). The 'CWB' relies on 'pcre' (BSD license, see <http://www.pcre.org/licence.txt>) and 'GLib' (LGPL license, see <https://www.gnu.org/licenses/lgpl-3.0.en.html>). See the file LICENSE.note for further information. The package includes modified code of the 'rcqp' package (GPL-2, see <https://cran.r-project.org/package=rcqp>). The original work of the authors of the 'rcqp' package is acknowledged with great respect, and they are listed as authors of this package. To achieve cross-platform portability (including Windows), using 'Rcpp' for wrapper code is the approach used by 'RcppCWB'.
Author: Andreas Blaette [aut, cre], Bernard Desgraupes [aut], Sylvain Loiseau [aut], Oliver Christ [ctb], Bruno Maximilian Schulze [ctb], Stefan Evert [ctb], Arne Fitschen [ctb], Jeroen Ooms [ctb], Marius Bertram [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

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Package MANOVA.RM updated to version 0.4.3 with previous version 0.4.2 dated 2020-10-13

Title: Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs
Description: Implemented are various tests for semi-parametric repeated measures and general MANOVA designs that do neither assume multivariate normality nor covariance homogeneity, i.e., the procedures are applicable for a wide range of general multivariate factorial designs. In addition to asymptotic inference methods, novel bootstrap and permutation approaches are implemented as well. These provide more accurate results in case of small to moderate sample sizes. Furthermore, post-hoc comparisons are provided for the multivariate analyses. Friedrich, S., Konietschke, F. and Pauly, M. (2018) <arXiv:1801.08002>.
Author: Sarah Friedrich, Frank Konietschke, Markus Pauly
Maintainer: Sarah Friedrich <sarah.friedrich@med.uni-goettingen.de>

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Package rgdal updated to version 1.5-23 with previous version 1.5-22 dated 2021-02-02

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ' library. Use is made of classes defined in the 'sp' package. Raster and vector map data can be imported into R, and raster and vector 'sp' objects exported. The 'GDAL' and 'PROJ' libraries are external to the package, and, when installing the package from source, must be correctly installed first; it is important that 'GDAL' < 3 be matched with 'PROJ' < 6. From 'rgdal' 1.5-8, installed with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference systems use 'WKT2_2019' strings, not 'PROJ' strings. 'Windows' and 'macOS' binaries (including 'GDAL', 'PROJ' and their dependencies) are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Daniel Baston [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb], Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package PTXQC updated to version 1.0.9 with previous version 1.0.8 dated 2020-12-12

Title: Quality Report Generation for MaxQuant and mzTab Results
Description: Generates Proteomics (PTX) quality control (QC) reports for shotgun LC-MS data analyzed with the MaxQuant software suite (from .txt files) or mzTab files (ideally from OpenMS 'QualityControl' tool). Reports are customizable (target thresholds, subsetting) and available in HTML or PDF format. Published in J. Proteome Res., Proteomics Quality Control: Quality Control Software for MaxQuant Results (2015) <doi:10.1021/acs.jproteome.5b00780>.
Author: Chris Bielow [aut, cre], Juliane Schmachtenberg [ctb], Swenja Wagner [ctb], Patricia Scheil [ctb], Tom Waschischek [ctb], Guido Mastrobuoni [dtc, rev]
Maintainer: Chris Bielow <chris.bielow@bsc.fu-berlin.de>

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Package mlr3proba updated to version 0.3.1 with previous version 0.3.0 dated 2021-02-02

Title: Probabilistic Supervised Learning for 'mlr3'
Description: Provides extensions for probabilistic supervised learning for 'mlr3'. This includes extending the regression task to probabilistic and interval regression, adding a survival task, and other specialized models, predictions, and measures. mlr3extralearners is available from <https://github.com/mlr-org/mlr3extralearners>.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut], Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Nurul Ain Toha [ctb], Andreas Bender [ctb] (<https://orcid.org/0000-0001-5628-8611>)
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

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Package ShinyItemAnalysis updated to version 1.3.5 with previous version 1.3.4 dated 2020-08-24

Title: Test and Item Analysis via Shiny
Description: Package including functions and interactive shiny application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters.
Author: Patricia Martinkova [aut, cre], Adela Hladka [aut], Ondrej Leder [ctb], Jakub Houdek [ctb], Lubomir Stepanek [ctb], Tomas Jurica [ctb], Jana Vorlickova [ctb], Jan Netik [ctb]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

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New package sarsop with initial version 0.6.8
Package: sarsop
Type: Package
Title: Approximate POMDP Planning Software
Version: 0.6.8
Authors@R: c( person("Carl", "Boettiger", email = "cboettig@gmail.com", role = c("cre", "aut", "cph"), comment = c(ORCID = "0000-0002-1642-628X")), person("Jeroen", "Ooms", role = c("aut")), person("Milad", "Memarzadeh", role = "aut"), person("Hanna", "Kurniawati", role = c("ctb", "cph")), person("David", "Hsu", role = c("ctb", "cph")), person("Hanna", "Kurniawati", role = c("ctb", "cph")), person("Wee", "Sun Lee", role = c("ctb", "cph")), person("Yanzhu", "Du", role = "ctb"), person("Xan", "Huang", role = "ctb"), person("Trey", "Smith", role = c("ctb", "cph")), person("Tony", "Cassandra", role = c("ctb", "cph")), person("Lee", "Thomason", role = c("ctb", "cph")), person("Carl", "Kindman", role = c("ctb", "cph")), person("Le", "Trong Dao", role = c("ctb", "cph")), person("Amit", "Jain", role= c("ctb", "cph")), person("Rong", "Nan", role = c("ctb", "cph")), person("Ulrich", "Drepper", role = c("ctb")), person("", "Free Software Foundation", role = "cph"), person("Tyge", "Lovset", role = c("ctb", "cph")), person("Yves", "Berquin", role = c("ctb", "cph")), person("Benjamin", "Grüdelbach", role = "ctb"), person("", "RSA Data Security, Inc.", role = "cph") )
Description: A toolkit for Partially Observed Markov Decision Processes (POMDP). Provides bindings to C++ libraries implementing the algorithm SARSOP (Successive Approximations of the Reachable Space under Optimal Policies) and described in Kurniawati et al (2008), <doi:10.15607/RSS.2008.IV.009>. This package also provides a high-level interface for generating, solving and simulating POMDP problems and their solutions.
License: GPL-2
URL: https://github.com/boettiger-lab/sarsop
BugReports: https://github.com/boettiger-lab/sarsop/issues
RoxygenNote: 7.1.1
Imports: xml2, parallel, processx, digest, Matrix
Suggests: testthat, roxygen2, knitr, tidyverse, covr, spelling
LinkingTo: BH
Encoding: UTF-8
Language: en-US
SystemRequirements: mallinfo, hence Linux, MacOS or Windows
NeedsCompilation: yes
Packaged: 2021-02-02 00:02:01 UTC; rstudio
Author: Carl Boettiger [cre, aut, cph] (<https://orcid.org/0000-0002-1642-628X>), Jeroen Ooms [aut], Milad Memarzadeh [aut], Hanna Kurniawati [ctb, cph], David Hsu [ctb, cph], Hanna Kurniawati [ctb, cph], Wee Sun Lee [ctb, cph], Yanzhu Du [ctb], Xan Huang [ctb], Trey Smith [ctb, cph], Tony Cassandra [ctb, cph], Lee Thomason [ctb, cph], Carl Kindman [ctb, cph], Le Trong Dao [ctb, cph], Amit Jain [ctb, cph], Rong Nan [ctb, cph], Ulrich Drepper [ctb], Free Software Foundation [cph], Tyge Lovset [ctb, cph], Yves Berquin [ctb, cph], Benjamin Grüdelbach [ctb], RSA Data Security, Inc. [cph]
Maintainer: Carl Boettiger <cboettig@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-03 09:50:03 UTC

More information about sarsop at CRAN
Permanent link

Package DescTools updated to version 0.99.40 with previous version 0.99.39 dated 2020-12-07

Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'BigCamelCase' style was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell [aut, cre], Ken Aho [ctb], Andreas Alfons [ctb], Nanina Anderegg [ctb], Tomas Aragon [ctb], Chandima Arachchige [ctb], Antti Arppe [ctb], Adrian Baddeley [ctb], Kamil Barton [ctb], Ben Bolker [ctb], Hans W. Borchers [ctb], Frederico Caeiro [ctb], Stephane Champely [ctb], Daniel Chessel [ctb], Leanne Chhay [ctb], Nicholas Cooper [ctb], Clint Cummins [ctb], Michael Dewey [ctb], Harold C. Doran [ctb], Stephane Dray [ctb], Charles Dupont [ctb], Dirk Eddelbuettel [ctb], Claus Ekstrom [ctb], Martin Elff [ctb], Jeff Enos [ctb], Richard W. Farebrother [ctb], John Fox [ctb], Romain Francois [ctb], Michael Friendly [ctb], Tal Galili [ctb], Matthias Gamer [ctb], Joseph L. Gastwirth [ctb], Vilmantas Gegzna [ctb], Yulia R. Gel [ctb], Sereina Graber [ctb], Juergen Gross [ctb], Gabor Grothendieck [ctb], Frank E. Harrell Jr [ctb], Richard Heiberger [ctb], Michael Hoehle [ctb], Christian W. Hoffmann [ctb], Soeren Hojsgaard [ctb], Torsten Hothorn [ctb], Markus Huerzeler [ctb], Wallace W. Hui [ctb], Pete Hurd [ctb], Rob J. Hyndman [ctb], Christopher Jackson [ctb], Matthias Kohl [ctb], Mikko Korpela [ctb], Max Kuhn [ctb], Detlew Labes [ctb], Friederich Leisch [ctb], Jim Lemon [ctb], Dong Li [ctb], Martin Maechler [ctb], Arni Magnusson [ctb], Ben Mainwaring [ctb], Daniel Malter [ctb], George Marsaglia [ctb], John Marsaglia [ctb], Alina Matei [ctb], David Meyer [ctb], Weiwen Miao [ctb], Giovanni Millo [ctb], Yongyi Min [ctb], David Mitchell [ctb], Franziska Mueller [ctb], Markus Naepflin [ctb], Daniel Navarro [ctb], Henric Nilsson [ctb], Klaus Nordhausen [ctb], Derek Ogle [ctb], Hong Ooi [ctb], Nick Parsons [ctb], Sandrine Pavoine [ctb], Tony Plate [ctb], Luke Prendergast [ctb], Roland Rapold [ctb], William Revelle [ctb], Tyler Rinker [ctb], Brian D. Ripley [ctb], Caroline Rodriguez [ctb], Nathan Russell [ctb], Nick Sabbe [ctb], Ralph Scherer [ctb], Venkatraman E. Seshan [ctb], Michael Smithson [ctb], Greg Snow [ctb], Karline Soetaert [ctb], Werner A. Stahel [ctb], Alec Stephenson [ctb], Mark Stevenson [ctb], Ralf Stubner [ctb], Matthias Templ [ctb], Duncan Temple Lang [ctb], Terry Therneau [ctb], Yves Tille [ctb], Luis Torgo [ctb], Adrian Trapletti [ctb], Joshua Ulrich [ctb], Kevin Ushey [ctb], Jeremy VanDerWal [ctb], Bill Venables [ctb], John Verzani [ctb], Pablo J. Villacorta Iglesias [ctb], Gregory R. Warnes [ctb], Stefan Wellek [ctb], Hadley Wickham [ctb], Rand R. Wilcox [ctb], Peter Wolf [ctb], Daniel Wollschlaeger [ctb], Joseph Wood [ctb], Ying Wu [ctb], Thomas Yee [ctb], Achim Zeileis [ctb]
Maintainer: Andri Signorell <andri@signorell.net>

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Package CARBayes updated to version 5.2.3 with previous version 5.2.2 dated 2021-01-15

Title: Spatial Generalised Linear Mixed Models for Areal Unit Data
Description: Implements a class of univariate and multivariate spatial generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, multinomial, Poisson or zero-inflated Poisson (ZIP), and spatial autocorrelation is modelled by a set of random effects that are assigned a conditional autoregressive (CAR) prior distribution. A number of different models are available for univariate spatial data, including models with no random effects as well as random effects modelled by different types of CAR prior, including the BYM model (Besag et al. (1991) <doi:10.1007/BF00116466>), the Leroux model (Leroux et al. (2000) <doi:10.1007/978-1-4612-1284-3_4>) and the localised model (Lee et al. (2015) <doi:10.1002/env.2348>). Additionally, a multivariate CAR (MCAR) model for multivariate spatial data is available, as is a two-level hierarchical model for modelling data relating to individuals within areas. Full details are given in the vignette accompanying this package. The initial creation of this package was supported by the Economic and Social Research Council (ESRC) grant RES-000-22-4256, and on-going development has been supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1, ESRC grant ES/K006460/1, Innovate UK / Natural Environment Research Council (NERC) grant NE/N007352/1 and the TB Alliance.
Author: Duncan Lee
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

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Package corpustools updated to version 0.4.6 with previous version 0.4.5 dated 2021-01-13

Title: Managing, Querying and Analyzing Tokenized Text
Description: Provides text analysis in R, focusing on the use of a tokenized text format. In this format, the positions of tokens are maintained, and each token can be annotated (e.g., part-of-speech tags, dependency relations). Prominent features include advanced Lucene-like querying for specific tokens or contexts (e.g., documents, sentences), similarity statistics for words and documents, exporting to DTM for compatibility with many text analysis packages, and the possibility to reconstruct original text from tokens to facilitate interpretation.
Author: Kasper Welbers and Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>

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Package scalpel updated to version 1.0.3 with previous version 1.0.2 dated 2020-02-13

Title: Processes Calcium Imaging Data
Description: Identifies the locations of neurons, and estimates their calcium concentrations over time using the SCALPEL method proposed in Petersen, Ashley; Simon, Noah; Witten, Daniela. SCALPEL: Extracting neurons from calcium imaging data. Ann. Appl. Stat. 12 (2018), no. 4, 2430--2456. <doi:10.1214/18-AOAS1159>. <https://projecteuclid.org/euclid.aoas/1542078051>.
Author: Ashley Petersen
Maintainer: Ashley Petersen <ashleyjpete@gmail.com>

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Package optiscale updated to version 1.2.2 with previous version 1.2 dated 2020-02-28

Title: Optimal Scaling
Description: Optimal scaling of a data vector, relative to a set of targets, is obtained through a least-squares transformation subject to appropriate measurement constraints. The targets are usually predicted values from a statistical model. If the data are nominal level, then the transformation must be identity-preserving. If the data are ordinal level, then the transformation must be monotonic. If the data are discrete, then tied data values must remain tied in the optimal transformation. If the data are continuous, then tied data values can be untied in the optimal transformation.
Author: William G. Jacoby
Maintainer: William G. Jacoby <wm.g.jacoby@gmail.com>

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Package fable updated to version 0.3.0 with previous version 0.2.1 dated 2020-06-16

Title: Forecasting Models for Tidy Time Series
Description: Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb] (NNETAR implementation), Tim-Gunnar Hensel [ctb], Timothy Hyndman [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package drake updated to version 7.13.1 with previous version 7.13.0 dated 2021-01-04

Title: A Pipeline Toolkit for Reproducible Computation at Scale
Description: A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://docs.ropensci.org/drake/> and the online manual <https://books.ropensci.org/drake/>.
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Alex Axthelm [ctb], Jasper Clarkberg [ctb], Kirill Müller [ctb], Ben Bond-Lamberty [ctb] (<https://orcid.org/0000-0001-9525-4633>), Tristan Mahr [ctb] (<https://orcid.org/0000-0002-8890-5116>), Miles McBain [ctb] (<https://orcid.org/0000-0003-2865-2548>), Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>), Ellis Hughes [ctb], Matthew Mark Strasiotto [ctb], Ben Marwick [rev], Peter Slaughter [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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Package dfidx updated to version 0.0-4 with previous version 0.0-3 dated 2020-05-08

Title: Indexed Data Frames
Description: Provides extended data frames, with a special data frame column which contains two indexes, with potentially a nesting structure.
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>

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Package bbl updated to version 0.4.0 with previous version 0.3.1 dated 2020-03-11

Title: Boltzmann Bayes Learner
Description: Supervised learning using Boltzmann Bayes model inference, which extends naive Bayes model to include interactions. Enables classification of data into multiple response groups based on a large number of discrete predictors that can take factor values of heterogeneous levels. Either pseudo-likelihood or mean field inference can be used with L2 regularization, cross-validation, and prediction on new data. Woo et al. (2016) <doi:10.1186/s12864-016-2871-3>.
Author: Jun Woo [aut, cre] (<https://orcid.org/0000-0003-3220-2064>)
Maintainer: Jun Woo <junwoo035@gmail.com>

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Package actuar updated to version 3.1-1 with previous version 3.1-0 dated 2021-01-06

Title: Actuarial Functions and Heavy Tailed Distributions
Description: Functions and data sets for actuarial science: modeling of loss distributions; risk theory and ruin theory; simulation of compound models, discrete mixtures and compound hierarchical models; credibility theory. Support for many additional probability distributions to model insurance loss size and frequency: 23 continuous heavy tailed distributions; the Poisson-inverse Gaussian discrete distribution; zero-truncated and zero-modified extensions of the standard discrete distributions. Support for phase-type distributions commonly used to compute ruin probabilities.
Author: Vincent Goulet [cre, aut], Sébastien Auclair [ctb], Christophe Dutang [aut], Nicholas Langevin [ctb], Xavier Milhaud [ctb], Tommy Ouellet [ctb], Alexandre Parent [ctb], Mathieu Pigeon [aut], Louis-Philippe Pouliot [ctb], Jeffrey A. Ryan [aut] (Package API), Robert Gentleman [aut] (Parts of the R to C interface), Ross Ihaka [aut] (Parts of the R to C interface), R Core Team [aut] (Parts of the R to C interface), R Foundation [aut] (Parts of the R to C interface)
Maintainer: Vincent Goulet <vincent.goulet@act.ulaval.ca>

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Package memery (with last version 0.5.4) was removed from CRAN

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

2021-01-29 0.5.4
2021-01-25 0.5.3
2019-04-19 0.5.2
2018-05-17 0.5.0
2018-02-13 0.4.2
2018-02-12 0.4.1
2018-02-01 0.4.0
2017-11-14 0.3.1
2017-11-09 0.3.0

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Package uqr (with last version 1.0.0) was removed from CRAN

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

2017-04-18 1.0.0
2016-11-19 0.2.0
2016-10-30 0.1.0

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