Mon, 31 May 2021

Package ShinyItemAnalysis updated to version 1.3.7 with previous version 1.3.6 dated 2021-03-20

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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Package rapidraker updated to version 0.1.2 with previous version 0.1.1 dated 2021-05-31

Title: Rapid Automatic Keyword Extraction (RAKE) Algorithm
Description: A 'Java' implementation of the RAKE algorithm ('Rose', S., 'Engel', D., 'Cramer', N. and 'Cowley', W. (2010) <doi:10.1002/9780470689646.ch1>), which can be used to extract keywords from documents without any training data.
Author: Christopher Baker [aut, cre]
Maintainer: Christopher Baker <chriscrewbaker@gmail.com>

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Package primePCA updated to version 1.1 with previous version 1.0 dated 2019-07-02

Title: Projected Refinement for Imputation of Missing Entries in PCA
Description: Implements the primePCA algorithm, developed and analysed in Zhu, Z., Wang, T. and Samworth, R. J. (2019) High-dimensional principal component analysis with heterogeneous missingness. <arXiv:1906.12125>.
Author: Ziwei Zhu, Tengyao Wang, Richard J. Samworth
Maintainer: Ziwei Zhu <ziweiz@umich.edu>

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Package fritools updated to version 2.0.0 with previous version 1.4.0 dated 2021-03-20

Title: Utilities for the Forest Research Institute of the State Baden-Wuerttemberg
Description: Miscellaneous utilities, tools and helper functions for finding and searching files on disk, searching for and removing R objects from the workspace. These are utilities for packages <https://CRAN.R-project.org/package=cleanr>, <https://CRAN.R-project.org/package=document>, <https://CRAN.R-project.org/package=fakemake>, <https://CRAN.R-project.org/package=packager> and <https://CRAN.R-project.org/package=rasciidoc>. Does not import or depend on any third party package, but on core R only (i.e it may depend on packages with priority 'base').
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package eflm updated to version 0.3.0 with previous version 0.1 dated 2021-02-15

Title: Efficient Fitting of Linear and Generalized Linear Models
Description: Efficient Fitting of Linear and Generalized Linear Models by using just base R. As an alternative to lm() and glm(), this package provides elm() and eglm(), with a significant speedup when the number of observations is larger than the number of parameters to estimate. The speed gains are obtained by reducing the NxP model matrix to a PxP matrix, and the best computational performance is obtained when R is linked against 'OpenBLAS', 'Intel MKL' or other optimized 'BLAS' library. This implementation aims at being compatible with 'broom' and 'sandwich' packages for summary statistics and clustering by providing S3 methods.
Author: Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>), Alexey Kravchenko [ths], Constanza Prado [ths], Yoto Yotov [ths], Neal Fulz [rev] (independent code auditing), Rahul Saxena [ctb] (improved broom integration), The United Nations [dtc, cph, fnd]
Maintainer: Mauricio Vargas <mavargas11@uc.cl>

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Package datagovindia updated to version 1.0.4 with previous version 0.0.3 dated 2021-04-08

Title: Data.gov.in API Wrapper
Description: This wrapper allows the user to communicate with more than 80,000 API posted on data.gov.in - open data platform of the government of India <https:data.gov.in/ogpl_apis>. It also allows the user to search for the API required through the universe of the API with a better interface than the one the official website provides. Once a user has the ID by using the API discovery functionalities, it allows one to converse with the API using a consistent format across all available API.
Author: Abhishek Arora [cre, aut], Aditya Chhabra [aut]
Maintainer: Abhishek Arora <abhishek.arora1996@gmail.com>

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Package greeks updated to version 0.2.0 with previous version 0.0.1 dated 2021-05-06

Title: Sensitivities of Prices of Financial Options
Description: Methods to calculate sensitivities of financial option prices for European and Asian options in the Black Scholes model. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017). Options, Futures, and Other Derivatives, Global Edition (9th Edition). Pearson. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2016). European and Asian Malliavin Monte Carlo Greeks for general Jump Diffusions with nonvanishing Brownian motion part. <arXiv:1603.00920>.
Author: Anselm Hudde [aut, cre] (<https://orcid.org/0000-0002-5652-2815>)
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

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Package vote updated to version 2.2-1 with previous version 2.2-0 dated 2021-02-12

Title: Election Vote Counting
Description: Counting election votes and determining election results by different methods, including the single transferable vote or ranked choice, approval, score, plurality, condorcet and two-round runoff methods (Raftery et al. (2021) <arXiv:2102.05801>).
Author: Hana Sevcikova, Bernard Silverman, Adrian Raftery
Maintainer: Hana Sevcikova<hanas@uw.edu>

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Package sbm updated to version 0.4.2 with previous version 0.4.1 dated 2021-05-21

Title: Stochastic Blockmodels
Description: A collection of tools and functions to adjust a variety of stochastic blockmodels (SBM). Supports at the moment Simple, Bipartite, 'Multipartite' and Multiplex SBM (undirected or directed with Bernoulli, Poisson or Gaussian emission laws on the edges, and possibly covariate for Simple and Bipartite SBM). See Léger (2016) <arxiv:1602.07587>, 'Barbillon et al.' (2020) <doi:10.1111/rssa.12193> and 'Bar-Hen et al.' (2020) <arxiv:1807.10138>.
Author: Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>), Sophie Donnet [aut] (<https://orcid.org/0000-0003-4370-7316>), großBM team [ctb], Pierre Barbillon [aut] (<https://orcid.org/0000-0002-7766-7693>)
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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Package vcr updated to version 1.0.2 with previous version 1.0.0 dated 2021-05-22

Title: Record 'HTTP' Calls to Disk
Description: Record test suite 'HTTP' requests and replays them during future runs. A port of the Ruby gem of the same name (<https://github.com/vcr/vcr/>). Works by hooking into the 'webmockr' R package for matching 'HTTP' requests by various rules ('HTTP' method, 'URL', query parameters, headers, body, etc.), and then caching real 'HTTP' responses on disk in 'cassettes'. Subsequent 'HTTP' requests matching any previous requests in the same 'cassette' use a cached 'HTTP' response.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Aaron Wolen [ctb] (<https://orcid.org/0000-0003-2542-2202>), Maëlle Salmon [ctb] (<https://orcid.org/0000-0002-2815-0399>), rOpenSci [fnd] (https://ropensci.org)
Maintainer: Scott Chamberlain <sckott@protonmail.com>

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Package paropt updated to version 0.2 with previous version 0.1 dated 2020-07-06

Title: Parameter Optimizing of ODE-Systems
Description: Enable optimization of parameters of ordinary differential equations. Therefore, using 'SUNDIALS' to solve the ODE-System (see Hindmarsh, Alan C., Peter N. Brown, Keith E. Grant, Steven L. Lee, Radu Serban, Dan E. Shumaker, and Carol S. Woodward. (2005) <doi:10.1145/1089014.1089020>). Furthermore, for optimization the particle swarm algorithm is used (see: Akman, Devin, Olcay Akman, and Elsa Schaefer. (2018) <doi:10.1155/2018/9160793> and Sengupta, Saptarshi, Sanchita Basak, and Richard Peters. (2018) <doi:10.3390/make1010010>). The ODE-System has to be passed as 'Rcpp'-function. The information for the parameter boundaries and states are conveyed using data.frames.
Author: Krämer Konrad [aut, cre], Krämer Johannes [aut], Heyer Arnd [ths], University of Stuttgart [uvp], Institute of Biomaterials and Biomolecular Systems at the University of Stuttgart [his] | file AUTHORS
Maintainer: Krämer Konrad <Konrad_kraemer@yahoo.de>

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Package IOHanalyzer updated to version 0.1.5.2 with previous version 0.1.4 dated 2020-06-24

Title: Data Analysis Part of 'IOHprofiler'
Description: The data analysis module for the Iterative Optimization Heuristics Profiler ('IOHprofiler'). This module provides statistical analysis methods for the benchmark data generated by optimization heuristics, which can be visualized through a web-based interface. The benchmark data is usually generated by the experimentation module, called 'IOHexperimenter'. 'IOHanalyzer' also supports the widely used 'COCO' (Comparing Continuous Optimisers) data format for benchmarking.
Author: Hao Wang [cre, aut], Diederick Vermetten [aut], Carola Doerr [aut], Thomas Bäck [aut]
Maintainer: Hao Wang <h.wang@liacs.leidenuniv.nl>

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Package oolong updated to version 0.4.0 with previous version 0.3.11 dated 2020-11-13

Title: Create Validation Tests for Automated Content Analysis
Description: Intended to create standard human-in-the-loop validity tests for typical automated content analysis such as topic modeling and dictionary-based methods. This package offers a standard workflow with functions to prepare, administer and evaluate a human-in-the-loop validity test. This package provides functions for validating topic models using word intrusion, topic intrusion (Chang et al. 2009, <https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>) and word set intrusion (Ying et al. Forthcoming) tests. This package also provides functions for generating gold-standard data which are useful for validating dictionary-based methods. The default settings of all generated tests match those suggested in Chang et al. (2009) and Song et al. (2020) <doi:10.1080/10584609.2020.1723752>.
Author: Chung-hong Chan [aut, cre] (<https://orcid.org/0000-0002-6232-7530>), Marius Sältzer [aut] (<https://orcid.org/0000-0002-8604-4666>)
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package fairmodels updated to version 1.1.0 with previous version 1.0.1 dated 2021-04-14

Title: Flexible Tool for Bias Detection, Visualization, and Mitigation
Description: Measure fairness metrics in one place for many models. Check how big is model's bias towards different races, sex, nationalities etc. Use measures such as Statistical Parity, Equal odds to detect the discrimination against unprivileged groups. Visualize the bias using heatmap, radar plot, biplot, bar chart (and more!). There are various pre-processing and post-processing bias mitigation algorithms implemented. Package also supports calculating fairness metrics for regression models. Find more details in (Wiśniewski, Biecek (2021)) <arXiv:2104.00507>.
Author: Jakub Wiśniewski [aut, cre], Przemysław Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>)
Maintainer: Jakub Wiśniewski <jakwisn@gmail.com>

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Package EHRtemporalVariability updated to version 1.1.4 with previous version 1.1.2.1 dated 2020-10-09

Title: Delineating Temporal Dataset Shifts in Electronic Health Records
Description: Functions to delineate temporal dataset shifts in Electronic Health Records through the projection and visualization of dissimilarities among data temporal batches. This is done through the estimation of data statistical distributions over time and their projection in non-parametric statistical manifolds, uncovering the patterns of the data latent temporal variability. 'EHRtemporalVariability' is particularly suitable for multi-modal data and categorical variables with a high number of values, common features of biomedical data where traditional statistical process control or time-series methods may not be appropriate. 'EHRtemporalVariability' allows you to explore and identify dataset shifts through visual analytics formats such as Data Temporal heatmaps and Information Geometric Temporal (IGT) plots. An additional 'EHRtemporalVariability' Shiny app can be used to load and explore the package results and even to allow the use of these functions to those users non-experienced in R coding. (Sáez et al. 2020) <doi:10.1093/gigascience/giaa079>.
Author: Carlos Sáez [aut, cre], Alba Gutiérrez-Sacristán [aut], Isaac Kohane [aut], Juan M García-Gómez [aut], Paul Avillach [aut], Biomedical Data Science Lab, Universitat Politècnica de València (Spain) [cph], Department of Biomedical Informatics, Harvard Medical School [cph]
Maintainer: Carlos Sáez <carsaesi@upv.es>

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Package admisc updated to version 0.15 with previous version 0.12 dated 2021-03-16

Title: Adrian Dusa's Miscellaneous
Description: Contains functions used across packages 'QCA', 'DDIwR', 'mixed' and 'venn'. Interprets and translates, factorizes and negates SOP - Sum of Products expressions, for both binary and multi-value crisp sets, and extracts information (set names, set values) from those expressions. Other functions perform various other checks if possibly numeric (even if all numbers reside in a character vector) and coerce to numeric, or check if the numbers are whole. It also offers, among many others, a highly flexible recoding routine.
Author: Adrian Dusa [aut, cre, cph] (<https://orcid.org/0000-0002-3525-9253>)
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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New package monobin with initial version 0.0.9
Package: monobin
Title: Monotonic Binning for Credit Rating Models
Version: 0.0.9
Authors@R: person(given = "Andrija", family = "Djurovic", role = c("aut", "cre"), email = "djandrija@gmail.com")
Maintainer: Andrija Djurovic <djandrija@gmail.com>
Description: Performs monotonic binning of numeric risk factor in credit rating models (PD, LGD, EAD) development. All functions handle both binary and continuous target variable. Functions that use isotonic regression in the first stage of binning process have an additional feature for correction of minimum percentage of observations and minimum target rate per bin. Additionally, monotonic trend can be identified based on raw data or, if known in advance, forced by functions' argument. Missing values and other possible special values are treated separately from so-called complete cases.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: dplyr, Hmisc, R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-05-30 21:05:17 UTC; adjurovic
Author: Andrija Djurovic [aut, cre]
Repository: CRAN
Date/Publication: 2021-05-31 12:10:02 UTC

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Package HiClimR updated to version 2.2.0 with previous version 2.1.9 dated 2021-04-02

Title: Hierarchical Climate Regionalization
Description: A tool for Hierarchical Climate Regionalization applicable to any correlation-based clustering. It adds several features and a new clustering method (called, 'regional' linkage) to hierarchical clustering in R ('hclust' function in 'stats' library): data regridding, coarsening spatial resolution, geographic masking, contiguity-constrained clustering, data filtering by mean and/or variance thresholds, data preprocessing (detrending, standardization, and PCA), faster correlation function with preliminary big data support, different clustering methods, hybrid hierarchical clustering, multivariate clustering (MVC), cluster validation, visualization of regionalization results, and exporting region map and mean timeseries into NetCDF-4 file. The technical details are described in Badr et al. (2015) <doi:10.1007/s12145-015-0221-7>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>), Benjamin F. Zaitchik [aut] (<https://orcid.org/0000-0002-0698-0658>), Amin K. Dezfuli [aut] (<https://orcid.org/0000-0003-3274-8542>)
Maintainer: Hamada S. Badr <badr@jhu.edu>

Diff between HiClimR versions 2.1.9 dated 2021-04-02 and 2.2.0 dated 2021-05-31

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Package bayesian updated to version 0.0.5 with previous version 0.0.4 dated 2021-05-18

Title: Bindings for Bayesian TidyModels
Description: Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via 'bayesian' <doi:10.5281/zenodo.4882780>. 'tidymodels' is a collection of packages for machine learning; see Kuhn and Wickham (2020) <https://www.tidymodels.org>). The technical details of 'brms' and 'Stan' are described in Bürkner (2017) <doi:10.18637/jss.v080.i01>, Bürkner (2018) <doi:10.32614/RJ-2018-017>, and Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>), Paul-Christian Bürkner [aut]
Maintainer: Hamada S. Badr <badr@jhu.edu>

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Package sybil updated to version 2.2.0 with previous version 2.1.5 dated 2019-03-07

Title: Efficient Constrained Based Modelling
Description: This Systems Biology Package (Gelius-Dietrich et. al. (2012) <doi:10.1186/1752-0509-7-125>) implements algorithms for constraint based analyses of metabolic networks, e.g. flux-balance analysis (FBA), minimization of metabolic adjustment (MOMA), regulatory on/off minimization (ROOM), robustness analysis and flux variability analysis. The package is easily extendable for additional algorithms. Most of the current LP/MILP solvers are supported via additional packages.
Author: Mayo Roettger [cre], Gabriel Gelius-Dietrich [aut], C. Jonathan Fritzemeier [ctb], Rajen Piernikarczyk [ctb], Marc Andre Daxer [ctb], Benjamin Braasch [ctb], Abdelmoneim Desouki [ctb], Martin J. Lercher [ctb]
Maintainer: Mayo Roettger <mayo.roettger@hhu.de>

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New package psymetadata with initial version 1.0.0
Package: psymetadata
Title: Open Datasets from Meta-Analyses in Psychology Research
Version: 1.0.0
Authors@R: c(person("Josue E.", "Rodriguez", email = "josue.rodriguez594@gmail.com", role = c("aut", "cre")), person("Donald", "Williams", email = "drwwilliams@ucdavis.edu", role = "aut"))
Description: Data and examples from meta-analyses in psychology research.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Rdpack
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2021-05-29 18:42:58 UTC; josue
Author: Josue E. Rodriguez [aut, cre], Donald Williams [aut]
Maintainer: Josue E. Rodriguez <josue.rodriguez594@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-05-31 11:40:02 UTC

More information about psymetadata at CRAN
Permanent link

New package flipbookr with initial version 0.1.0
Package: flipbookr
Title: Parses Code, Creates Partial Code Builds, Delivers Code Movie
Version: 0.1.0
Authors@R: c(person(given = "Evangeline", family = "Reynolds", role = c("cre", "aut"), email = "evangeline.mae@gmail.com"), person(given = "Garrick", family = "Aden-Buie", role = "aut"), person(given = "Emi", family = "Tanaka", role = "aut"))
Maintainer: Evangeline Reynolds <evangeline.mae@gmail.com>
Description: Flipbooks present code step-by-step and side-by-side with its output. 'flipbookr' helps creators build flipbooks efficiently because code pipelines are automatically parsed and prepped for presentation as flipbooks.
Encoding: UTF-8
Imports: dplyr, magrittr, tibble, stringr, tidyr, stringi, knitr, glue, purrr, rmarkdown
Suggests: testthat
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2021-05-24 23:48:14 UTC; evangelinereynolds
Author: Evangeline Reynolds [cre, aut], Garrick Aden-Buie [aut], Emi Tanaka [aut]
Repository: CRAN
Date/Publication: 2021-05-31 11:40:06 UTC

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New package CallEshotgun with initial version 0.1.0
Package: CallEshotgun
Title: Providing an Interface to the e-Shotgun Algorithm for Bayesian Optimization
Version: 0.1.0
Authors@R: c(person("Lennard", "Reese", role = c("aut", "cre"), email = "CeSMaintainer@web.de"), person("Frederik", "Rehbach", role = "ctb"))
Maintainer: Lennard Reese <CeSMaintainer@web.de>
Description: A set of tools for the usage of the e-shotgun algorithm for Bayesian optimization. The e-shotgun was originally developed by "George De Ath, Richard M. Everson, Jonathan E. Fieldsend, and Alma A. M. Rahat. 2020. e-shotgun : e-greedy Batch Bayesian Optimisation. In Genetic and Evolutionary Computation Conference (GECCO ’20), July 8–12, 2020, Cancún, Mexico. ACM, New York, NY, USA, 9 pages." <doi:10.1145/3377930.3390154>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Depends: reticulate, R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-05-29 12:42:04 UTC; Lennard
Author: Lennard Reese [aut, cre], Frederik Rehbach [ctb]
Repository: CRAN
Date/Publication: 2021-05-31 11:10:02 UTC

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New package sparseGAM with initial version 1.0
Package: sparseGAM
Title: Sparse Generalized Additive Models
Version: 1.0
Date: 2021-05-29
Author: Ray Bai
Maintainer: Ray Bai <raybaistat@gmail.com>
Description: Fits sparse frequentist GAMs (SF-GAM) for continuous and discrete responses in the exponential dispersion family with the group lasso, group smoothly clipped absolute deviation (SCAD), and group minimax concave (MCP) penalties <doi:10.1007/s11222-013-9424-2>. Also fits sparse Bayesian generalized additive models (SB-GAM) with the spike-and-slab group lasso (SSGL) penalty of Bai et al. (2021) <doi:10.1080/01621459.2020.1765784>. B-spline basis functions are used to model the sparse additive functions. Stand-alone functions for group-regularized negative binomial regression, group-regularized gamma regression, and group-regularized regression in the exponential dispersion family with the SSGL penalty are also provided.
License: GPL-3
Depends: R (>= 3.6.0)
Imports: stats, splines, MASS, pracma, grpreg
NeedsCompilation: yes
Packaged: 2021-05-29 07:20:57 UTC; rayba
Repository: CRAN
Date/Publication: 2021-05-31 10:10:02 UTC

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Package hutilscpp updated to version 0.7.1 with previous version 0.5.2 dated 2020-10-20

Title: Miscellaneous Functions in C++
Description: Provides utility functions that are simply, frequently used, but may require higher performance that what can be obtained from base R. Incidentally provides support for 'reverse geocoding', such as matching a point with its nearest neighbour in another array. Used as a complement to package 'hutils' by sacrificing compilation or installation time for higher running speeds. The name is a portmanteau of the author and 'Rcpp'.
Author: Hugh Parsonage [aut, cre], Simon Urbanek [ctb] (fastmatch components)
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

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New package hhsmm with initial version 0.1
Package: hhsmm
Date: 2021-05-18
Title: Hidden Hybrid Markov/Semi-Markov Model Fitting
Version: 0.1
Authors@R: c(person("Morteza", "Amini", role = c("aut", "cre","cph"), email = "morteza.amini@ut.ac.ir"), person("Afarin", "Bayat", role = "aut"))
Description: Develops algorithms for fitting, prediction, simulation and initialization of the hidden hybrid Markov/semi-Markov model, introduced by Guedon (2005) <doi:10.1016/j.csda.2004.05.033>.
License: GPL-3
Imports: Rcpp, Rdpack
RdMacros: Rdpack
Depends: R (>= 4.0.0), mvtnorm
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2021-05-29 08:17:55 UTC; Amini
Author: Morteza Amini [aut, cre, cph], Afarin Bayat [aut]
Maintainer: Morteza Amini <morteza.amini@ut.ac.ir>
Repository: CRAN
Date/Publication: 2021-05-31 10:10:05 UTC

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Package equateIRT updated to version 2.2.0 with previous version 2.1.0 dated 2018-10-02

Title: IRT Equating Methods
Description: Computation of direct, chain and average (bisector) equating coefficients with standard errors using Item Response Theory (IRT) methods for dichotomous items (Battauz (2013) <doi:10.1007/s11336-012-9316-y>, Battauz (2015) <doi:10.18637/jss.v068.i07>). Test scoring can be performed by true score equating and observed score equating methods. DIF detection can be performed using a Wald-type test (Battauz (2018) <doi:10.1007/s10260-018-00442-w>).
Author: Michela Battauz
Maintainer: Michela Battauz <michela.battauz@uniud.it>

Diff between equateIRT versions 2.1.0 dated 2018-10-02 and 2.2.0 dated 2021-05-31

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Package rversions updated to version 2.1.1 with previous version 2.1.0 dated 2021-05-24

Title: Query 'R' Versions, Including 'r-release' and 'r-oldrel'
Description: Query the main 'R' 'SVN' repository to find the versions 'r-release' and 'r-oldrel' refer to, and also all previous 'R' versions and their release dates.
Author: Gábor Csárdi [aut, cre], Jeroen Ooms [ctb], R Consortium [fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between rversions versions 2.1.0 dated 2021-05-24 and 2.1.1 dated 2021-05-31

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New package RTTWebClient with initial version 0.1.2
Package: RTTWebClient
Title: Web Client to 'TickTrader'
Version: 0.1.2
Authors@R: c(person("Yury","Maisiayonak", role=c("aut","cre"), email="yury.maisiayonak@soft-fx.lv"))
Description: R Web Client to 'TickTrader' platform. Provides you access to 'TickTrader' platform through Web API <https://ttlivewebapi.fxopen.net:8443/api/doc/index>.
License: GPL-2
Encoding: UTF-8
Imports: data.table, jsonlite, httr, digest, base64enc, methods, withr
Suggests: spelling, knitr, rmarkdown, testthat, lubridate, vcr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-05-26 09:35:23 UTC; Yury
Author: Yury Maisiayonak [aut, cre]
Maintainer: Yury Maisiayonak <yury.maisiayonak@soft-fx.lv>
Repository: CRAN
Date/Publication: 2021-05-31 09:40:05 UTC

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New package rapidraker with initial version 0.1.1
Package: rapidraker
Title: Rapid Automatic Keyword Extraction (RAKE) Algorithm
Version: 0.1.1
Authors@R: person("Christopher", "Baker", email = "chriscrewbaker@gmail.com", role = c("aut", "cre"))
Description: A 'Java' implementation of the RAKE algorithm ('Rose', S., 'Engel', D., 'Cramer', N. and 'Cowley', W. (2010) <doi:10.1002/9780470689646.ch1>), which can be used to extract keywords from documents without any training data.
URL: https://crew102.github.io/slowraker/articles/rapidraker.html
BugReports: https://github.com/crew102/rapidraker/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.1)
Imports: rJava, openNLPdata, slowraker, utils
Suggests: knitr, rmarkdown, testthat
SystemRequirements: Java (>= 1.8)
NeedsCompilation: no
Packaged: 2021-05-28 22:07:00 UTC; cbaker
Author: Christopher Baker [aut, cre]
Maintainer: Christopher Baker <chriscrewbaker@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-31 09:50:03 UTC

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Permanent link

Package osrmr updated to version 0.1.36 with previous version 0.1.35 dated 2019-01-14

Title: Wrapper for the 'OSRM' API
Description: Wrapper around the 'Open Source Routing Machine (OSRM)' API <http://project-osrm.org/>. 'osrmr' works with API versions 4 and 5 and can handle servers that run locally as well as the 'OSRM' webserver.
Author: Adrian Staempfli, Christoph Strauss
Maintainer: Adrian Staempfli <adrian.staempfli@ost.ch>

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Package opalr updated to version 2.1.1 with previous version 2.1.0 dated 2021-04-29

Title: 'Opal' Data Repository Client and 'DataSHIELD' Utils
Description: Data integration Web application for biobanks by 'OBiBa'. 'Opal' is the core database application for biobanks. Participant data, once collected from any data source, must be integrated and stored in a central data repository under a uniform model. 'Opal' is such a central repository. It can import, process, validate, query, analyze, report, and export data. 'Opal' is typically used in a research center to analyze the data acquired at assessment centres. Its ultimate purpose is to achieve seamless data-sharing among biobanks. This 'Opal' client allows to interact with 'Opal' web services and to perform operations on the R server side. 'DataSHIELD' administration tools are also provided.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>), Amadou Gaye [ctb] (<https://orcid.org/0000-0002-1180-2792>), OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

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Package molic updated to version 2.0.2 with previous version 2.0.1 dated 2020-06-16

Title: Multivariate Outlier Detection in Contingency Tables
Description: Outlier detection in, possibly high-dimensional, categorical data following Mads Lindskou et al. (2019) <doi:10.1111/sjos.12407>.
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <mads@math.aau.dk>

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Package GPareto updated to version 1.1.6 with previous version 1.1.4.1 dated 2020-04-01

Title: Gaussian Processes for Pareto Front Estimation and Optimization
Description: Gaussian process regression models, a.k.a. Kriging models, are applied to global multi-objective optimization of black-box functions. Multi-objective Expected Improvement and Step-wise Uncertainty Reduction sequential infill criteria are available. A quantification of uncertainty on Pareto fronts is provided using conditional simulations.
Author: Mickael Binois, Victor Picheny
Maintainer: Mickael Binois <mickael.binois@inria.fr>

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Package GDAtools updated to version 1.7 with previous version 1.6 dated 2021-03-28

Title: A Toolbox for Geometric Data Analysis and More
Description: Contains functions for 'specific' Multiple Correspondence Analysis, Class Specific Analysis, Multiple Factor Analysis, 'standardized' MCA, computing and plotting structuring factors and concentration ellipses, inductive tests and others tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>). It also provides functions for the translation of logit models coefficients into percentages (Deauvieau (2010) <doi:10.1177/0759106309352586>), weighted contingency tables, an association measure for contingency tables ("Percentages of Maximum Deviation from Independence", aka PEM, see Cibois (1993) <doi:10.1177/075910639304000103>) and some tools to measure and plot bivariate associations between variables (phi, Cramér V, correlation coefficient, eta-squared...).
Author: Nicolas Robette
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

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Package foghorn updated to version 1.4.1 with previous version 1.4.0 dated 2021-05-05

Title: Summarize CRAN Check Results in the Terminal
Description: The CRAN check results and where your package stands in the CRAN submission queue in your R terminal.
Author: Francois Michonneau [aut, cre], Ben Bolker [ctb]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

Diff between foghorn versions 1.4.0 dated 2021-05-05 and 1.4.1 dated 2021-05-31

 DESCRIPTION                            |    6 +-
 MD5                                    |   14 ++---
 NEWS.md                                |    6 ++
 R/cran_flavors.R                       |    9 +--
 build/vignette.rds                     |binary
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 tests/testthat/test-n_cran_platforms.R |    2 
 8 files changed, 64 insertions(+), 55 deletions(-)

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Package movecost updated to version 0.9 with previous version 0.8 dated 2021-05-21

Title: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, and Least-Cost Corridors Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surface, least-cost paths, and least-cost corridors using a number of human-movement-related cost functions that can be selected by the user. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

Diff between movecost versions 0.8 dated 2021-05-21 and 0.9 dated 2021-05-31

 DESCRIPTION     |   15 ++--
 MD5             |   16 ++--
 NAMESPACE       |    5 +
 NEWS.md         |    6 +
 R/movecorr.R    |  204 +++++++++++++++++++++++++++++++++++++++++++++-----------
 R/movecost.R    |   37 +++++++---
 README.md       |    8 +-
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 9 files changed, 334 insertions(+), 89 deletions(-)

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Package inline updated to version 0.3.19 with previous version 0.3.18 dated 2021-05-18

Title: Functions to Inline C, C++, Fortran Function Calls from R
Description: Functionality to dynamically define R functions and S4 methods with 'inlined' C, C++ or Fortran code supporting the .C and .Call calling conventions.
Author: Oleg Sklyar, Duncan Murdoch, Mike Smith, Dirk Eddelbuettel, Romain Francois, Karline Soetaert, Johannes Ranke
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between inline versions 0.3.18 dated 2021-05-18 and 0.3.19 dated 2021-05-31

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 MD5                            |   12 ++++++------
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 inst/tinytest/test_utilities.R |    4 ++++
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 7 files changed, 46 insertions(+), 21 deletions(-)

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New package afthd with initial version 0.1.0
Title: Accelerated Failure Time for High Dimensional Data with MCMC
Package: afthd
Version: 0.1.0
Date: 2021-05-25
Description: Functions for Posterior estimates of Accelerated Failure Time(AFT) model with MCMC and Maximum likelihood estimates of AFT model without MCMC for univariate and multivariate analysis in high dimensional gene expression data are available in this 'afthd' package. AFT model with Bayesian framework for multivariate in high dimensional data has been proposed by Prabhash et al.(2016) <doi:10.21307/stattrans-2016-046>.
LazyDataCompression: xz
ByteCompile: Yes
Authors@R: c(person(("Atanu"), "Bhattacharjee", email="atanustat@gmail.com", role=c("aut", "cre","ctb")), person(("Gajendra Kumar"), "Vishwakarma", role=c("aut","ctb")), person(("Pragya"), "Kumari", role=c("aut","ctb")))
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: glmnet,photobiology,R2jags,rstpm2,stats,survival,useful
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
NeedsCompilation: no
Packaged: 2021-05-28 14:47:31 UTC; atanu
Repository: CRAN
Date/Publication: 2021-05-31 08:10:06 UTC
Author: Atanu Bhattacharjee [aut, cre, ctb], Gajendra Kumar Vishwakarma [aut, ctb], Pragya Kumari [aut, ctb]

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Package gama (with last version 1.0.3) was removed from CRAN

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

2019-02-26 1.0.3

Permanent link
Package Clustering (with last version 1.7.2) was removed from CRAN

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

2021-01-07 1.7.2
2020-12-04 1.7.1
2020-10-25 1.7
2020-04-23 1.6
2020-04-21 1.5
2020-04-17 1.4
2020-04-16 1.3
2020-04-11 1.2
2020-04-04 1.1
2020-03-31 1.0

Permanent link
New package valse with initial version 0.1-0
Package: valse
Title: Variable Selection with Mixture of Models
Date: 2021-05-16
Version: 0.1-0
Description: Two methods are implemented to cluster data with finite mixture regression models. Those procedures deal with high-dimensional covariates and responses through a variable selection procedure based on the Lasso estimator. A low-rank constraint could be added, computed for the Lasso-Rank procedure. A collection of models is constructed, varying the level of sparsity and the number of clusters, and a model is selected using a model selection criterion (slope heuristic, BIC or AIC). Details of the procedure are provided in "Model-based clustering for high-dimensional data. Application to functional data" by Emilie Devijver (2016) <arXiv:1409.1333v2>, published in Advances in Data Analysis and Clustering.
Author: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr> [aut,cre], Emilie Devijver <Emilie.Devijver@kuleuven.be> [aut], Benjamin Goehry <Benjamin.Goehry@math.u-psud.fr> [ctb]
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>
Depends: R (>= 3.5.0)
Imports: MASS, parallel, cowplot, ggplot2, reshape2
Suggests: capushe, roxygen2
URL: https://git.auder.net/?p=valse.git
License: MIT + file LICENSE
Collate: 'plot_valse.R' 'main.R' 'selectVariables.R' 'constructionModelesLassoRank.R' 'constructionModelesLassoMLE.R' 'computeGridLambda.R' 'initSmallEM.R' 'EMGrank.R' 'EMGLLF.R' 'generateXY.R' 'A_NAMESPACE.R' 'util.R'
NeedsCompilation: yes
Packaged: 2021-05-28 10:43:13 UTC; auder
Repository: CRAN
Date/Publication: 2021-05-31 08:00:02 UTC

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New package utiml with initial version 0.1.7
Package: utiml
Title: Utilities for Multi-Label Learning
Version: 0.1.7
Date: 2021-05-26
Authors@R: person("Adriano", "Rivolli", email = "rivolli@utfpr.edu.br", role = c("aut", "cre"))
Description: Multi-label learning strategies and others procedures to support multi- label classification in R. The package provides a set of multi-label procedures such as sampling methods, transformation strategies, threshold functions, pre-processing techniques and evaluation metrics. A complete overview of the matter can be seen in Zhang, M. and Zhou, Z. (2014) <doi:10.1109/TKDE.2013.39> and Gibaja, E. and Ventura, S. (2015) A Tutorial on Multi-label Learning.
URL: https://github.com/rivolli/utiml
Depends: R (>= 3.0.0), mldr(>= 0.4.0), parallel, ROCR
Imports: stats, utils, methods
Suggests: C50, e1071, infotheo, kknn, knitr, randomForest, rmarkdown, markdown, rpart, testthat, xgboost(>= 0.6-4)
License: GPL-3
LazyData: true
BugReports: https://github.com/rivolli/utiml
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-28 23:35:29 UTC; rivolli
Author: Adriano Rivolli [aut, cre]
Maintainer: Adriano Rivolli <rivolli@utfpr.edu.br>
Repository: CRAN
Date/Publication: 2021-05-31 07:10:02 UTC

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New package umx with initial version 4.8.0
Package: umx
Version: 4.8.0
Date: 2021-06-01
Title: Structural Equation and Twin Modeling in R
Authors@R: c( person(c("Timothy", "C."), "Bates" , role = c("aut", "cre"), email = "timothy.c.bates@gmail.com", comment = c(ORCID = "0000-0002-1153-9007")), person("Gillespie" , "Nathan" , role = c("ctb"), email = "nathan.gillespie@vcuhealth.org"), person("Brenton" , "Wiernik" , role = c("ctb"), email = "wiernik@umn.edu"), person(c("Joshua", "N.") , "Pritikin", role = c("ctb"), email = "jpritikin@pobox.com"), person(c("Michael", "C."), "Neale" , role = c("ctb"), email = "neale@vcu.edu"), person("Hermine" , "Maes" , role = c("ctb"), email = "hmeaes@vcu.edu") )
Maintainer: Timothy C. Bates <timothy.c.bates@gmail.com>
License: GPL-3
Language: en-US
Encoding: UTF-8
URL: https://github.com/tbates/umx
Description: Quickly create, run, and report structural equation and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. Timothy C. Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for Structural Equation and Twin Modelling in R. Twin Research and Human Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>.
Depends: R (>= 3.5.0), OpenMx (>= 2.11.5)
Imports: cowplot, DiagrammeR, DiagrammeRsvg, rsvg, ggplot2, kableExtra, knitr, lavaan, MASS, Matrix, methods, MuMIn, mvtnorm, nlme, polycor, R2HTML, RCurl, scales, utils, xtable
Suggests: cocor, devtools, gdata, hrbrthemes, Hmisc, spelling, testthat, rmarkdown, psych
BugReports: https://github.com/tbates/umx/issues
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-28 21:34:50 UTC; tim
Author: Timothy C. Bates [aut, cre] (<https://orcid.org/0000-0002-1153-9007>), Gillespie Nathan [ctb], Brenton Wiernik [ctb], Joshua N. Pritikin [ctb], Michael C. Neale [ctb], Hermine Maes [ctb]
Repository: CRAN
Date/Publication: 2021-05-31 07:10:08 UTC

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New package triggerstrategy with initial version 1.0.4
Package: triggerstrategy
Title: Trigger Strategy in Clinical Trials
Version: 1.0.4
Date: 2021-05-28
Authors@R: c( person("Jiangtao", "Gou", email = "gouRpackage@gmail.com", role = c("aut", "cre")), person("Fengqing", "Zhang", role = "aut"))
Description: The trigger strategy is a general framework for a multistage statistical design with multiple hypotheses, allowing an adaptive selection of interim analyses. The selection of interim stages can be associated with some prespecified endpoints which serve as the trigger. This selection allows us to refine the critical boundaries in hypotheses testing procedures, and potentially increase the statistical power. This package includes several trial designs using the trigger strategy. See Gou, J. (2021). Trigger strategy in repeated tests on multiple hypotheses, Technical Report (<https://raw.githubusercontent.com/jgvu/research/manuscripts/triggerStrategyV0git.pdf>) and Gou, J. (2021). Sample size optimization and initial allocation of the significance levels in group sequential trials with multiple endpoints, Biometrical Journal (<https://onlinelibrary.wiley.com/doi/10.1002/bimj.202000081>).
License: GPL-3
Encoding: UTF-8
Imports: GA, gsDesign, gsrsb, ldbounds, mvtnorm, nleqslv, stats
NeedsCompilation: no
Packaged: 2021-05-28 12:16:53 UTC; psystat
Author: Jiangtao Gou [aut, cre], Fengqing Zhang [aut]
Maintainer: Jiangtao Gou <gouRpackage@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-31 08:00:05 UTC

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Package surveyvoi updated to version 1.0.3 with previous version 1.0.2 dated 2021-05-27

Title: Survey Value of Information
Description: Decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans for conserving biodiversity (e.g. plans for establishing protected areas). Given a set of sites that could potentially be acquired for conservation management, it can be used to generate and evaluate plans for surveying additional sites. Specifically, plans for ecological surveys can be generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity of sampled environmental algorithms. After generating such survey plans, they can be evaluated using conditions) and maximizing value of information. Please note that several functions depend on the 'Gurobi' optimization software (available from <https://www.gurobi.com>). Additionally, the JAGS software (available from <https://mcmc-jags.sourceforge.io/>) is required to fit hierarchical generalized linear models.
Author: Jeffrey O Hanson [aut, cre] (<https://orcid.org/0000-0002-4716-6134>), Iadine Chadès [aut] (<https://orcid.org/0000-0002-7442-2850>), Emma J Hudgins [aut] (<https://orcid.org/0000-0002-8402-5111>), Joseph R Bennett [aut] (<https://orcid.org/0000-0002-3901-9513>), Free Software Foundation, Inc [ctb, cph] (gmp)
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

Diff between surveyvoi versions 1.0.2 dated 2021-05-27 and 1.0.3 dated 2021-05-31

 DESCRIPTION             |   22 +++++++++---------
 MD5                     |   20 ++++++++---------
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 11 files changed, 85 insertions(+), 47 deletions(-)

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New package Require with initial version 0.0.13
Package: Require
Title: Installing and Loading R Packages for Reproducible Workflows
Description: A single key function, 'Require' that wraps 'install.packages', 'remotes::install_github', 'versions::install.versions', and 'base::require' that allows for reproducible workflows. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function. Maturing.
URL: https://Require.predictiveecology.org, https://github.com/PredictiveEcology/Require
Date: 2021-05-26
Version: 0.0.13
Authors@R: c( person("Eliot J B", "McIntire", email = "eliot.mcintire@canada.ca", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6914-8316")), person("Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada", role = "cph") )
Depends: R (>= 3.6)
Imports: data.table (>= 1.10.4), methods, remotes, utils
Suggests: covr, testit
Encoding: UTF-8
Language: en-CA
License: GPL-3
BugReports: https://github.com/PredictiveEcology/Require/issues
ByteCompile: yes
NeedsCompilation: no
Packaged: 2021-05-28 19:59:31 UTC; achubaty
Author: Eliot J B McIntire [aut, cre] (<https://orcid.org/0000-0002-6914-8316>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>
Repository: CRAN
Date/Publication: 2021-05-31 07:30:05 UTC

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Package manipulateWidget updated to version 0.11.0 with previous version 0.10.1 dated 2020-02-24

Title: Add Even More Interactivity to Interactive Charts
Description: Like package 'manipulate' does for static graphics, this package helps to easily add controls like sliders, pickers, checkboxes, etc. that can be used to modify the input data or the parameters of an interactive chart created with package 'htmlwidgets'.
Author: Veronique Bachelier [aut, cre], Jalal-Edine ZAWAM [aut], Francois Guillem [aut], RTE [cph], JJ Allaire [ctb], Marion Praz [ctb] (New user interface), Benoit Thieurmel [ctb], Titouan Robert [ctb], Duncan Murdoch [ctb]
Maintainer: Veronique Bachelier <veronique.bachelier@rte-france.com>

Diff between manipulateWidget versions 0.10.1 dated 2020-02-24 and 0.11.0 dated 2021-05-31

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 manipulateWidget-0.11.0/manipulateWidget/NEWS.md                                      |   20 
 manipulateWidget-0.11.0/manipulateWidget/R/combine_widgets.R                          |    2 
 manipulateWidget-0.11.0/manipulateWidget/R/compare_options.R                          |    7 
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 manipulateWidget-0.11.0/manipulateWidget/R/get_row_and_cols.R                         |    2 
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 69 files changed, 2596 insertions(+), 11904 deletions(-)

More information about manipulateWidget at CRAN
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Package LongCART updated to version 3.1 with previous version 3.0 dated 2021-01-17

Title: Recursive Partitioning for Longitudinal Data and Right Censored Data Using Baseline Covariates
Description: Constructs tree for continuous longitudinal data and survival data using baseline covariates as partitioning variables according to the 'LongCART' and 'SurvCART' algorithm, respectively. Later also included functions to calculate conditional power and predictive power of success based on interim results and probability of success for a prospective trial.
Author: Madan G Kundu
Maintainer: Madan G Kundu <madan_g.kundu@yahoo.com>

Diff between LongCART versions 3.0 dated 2021-01-17 and 3.1 dated 2021-05-31

 LongCART-3.0/LongCART/R/SurvCART.R           |only
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 LongCART-3.1/LongCART/MD5                    |   10 +++++-----
 LongCART-3.1/LongCART/R/StabCat_surv.R       |    6 +++---
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 7 files changed, 14 insertions(+), 14 deletions(-)

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New package lares with initial version 4.10.6
Package: lares
Title: Analytics, Data Mining & Machine Learning Sidekick
Version: 4.10.6
Authors@R: c( person("Bernardo", "Lares", , "laresbernardo@gmail.com", c("aut", "cre")))
Maintainer: Bernardo Lares <laresbernardo@gmail.com>
Description: R library for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Exploratory, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or extensive programming skills.
Imports: dplyr, ggplot2, h2o, httr, jsonlite, lubridate, magrittr, openxlsx, patchwork, pROC, rlang, rpart, rvest, scales, stringr, tidyr, xml2, yaml
Suggests: beepr, DALEX, DBI, forecast, ggforce, ggrepel, googleAuthR, googlesheets4, mice, quantmod, plotly, rdrop2, rlist, rmarkdown, rtweet, skimr, sp, tm, wordcloud
URL: https://github.com/laresbernardo/lares
BugReports: https://github.com/laresbernardo/lares/issues
License: AGPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-27 17:04:43 UTC; bernardolares
Author: Bernardo Lares [aut, cre]
Repository: CRAN
Date/Publication: 2021-05-31 07:20:02 UTC

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New package icecream with initial version 0.1.1
Package: icecream
Title: Print Debugging Made Sweeter
Version: 0.1.1
Authors@R: c(person(given = "Lewin", family = "Appleton-Fox", role = c("aut", "cre"), email = "lewin.a.f@gmail.com"), person(given = "Dominik", family = "Rafacz", role = "aut", email = "dominikrafacz@gmail.com", comment = c(ORCID = "0000-0003-0925-1909")))
Description: Provides user-friendly and configurable print debugging via a single function, ic(). Wrap an expression in ic() to print the expression, its value and (where available) its source location. Debugging output can be toggled globally without modifying code.
License: MIT + file LICENSE
URL: https://lewinfox.github.io/icecream/, https://github.com/lewinfox/icecream
BugReports: https://github.com/lewinfox/icecream/issues
Imports: cli, glue, rlang
Suggests: testthat (>= 3.0.0), withr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2021-05-27 22:23:31 UTC; lewin
Author: Lewin Appleton-Fox [aut, cre], Dominik Rafacz [aut] (<https://orcid.org/0000-0003-0925-1909>)
Maintainer: Lewin Appleton-Fox <lewin.a.f@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-31 07:40:02 UTC

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New package geodata with initial version 0.2-3
Package: geodata
Title: Download Geographic Data
Version: 0.2-3
Date: 2021-05-26
Depends: R (>= 3.5.0), terra
Suggests: jsonlite
Author: Robert J. Hijmans [cre, aut], Aniruddha Ghosh [ctb], Alex Mandel [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Description: Functions for downloading of geographic data for use in spatial data analysis and mapping. The package facilitates access to climate, elevation, soil, species occurrence, and administrative boundary data.
License: GPL (>= 3)
BugReports: https://github.com/rspatial/geodata/issues/
NeedsCompilation: no
Packaged: 2021-05-26 17:57:55 UTC; rhijm
Repository: CRAN
Date/Publication: 2021-05-31 07:40:05 UTC

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Package ess updated to version 1.1.2 with previous version 1.0 dated 2020-05-24

Title: Efficient Stepwise Selection in Decomposable Models
Description: An implementation of the ESS algorithm following Amol Deshpande, Minos Garofalakis, Michael I Jordan (2013) <arXiv:1301.2267>. The ESS algorithm is used for model selection in decomposable graphical models.
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <mads@math.aau.dk>

Diff between ess versions 1.0 dated 2020-05-24 and 1.1.2 dated 2021-05-31

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Package eiopaR updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-28

Title: Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA
Description: Provides EIOPA (European Insurance And Occupational Pensions Authority) risk-free rates. Please note that the author of this package is not affiliated with EIOPA. The data is accessed through a REST API available at <https://mehdiechchelh.com/api/>.
Author: Mehdi Echchelh [aut, cre]
Maintainer: Mehdi Echchelh <mehdi.echel@gmail.com>

Diff between eiopaR versions 0.1.0 dated 2021-04-28 and 0.1.1 dated 2021-05-31

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New package educationdata with initial version 0.1.1
Package: educationdata
Title: Retrieve Records from the Urban Institute's Education Data Portal API
Version: 0.1.1
Authors@R: c( person("Kyle", "Ueyama", email = "kueyama@urban.org", role = c("aut", "cre")), person(given = "The Urban Institute", role = c("cph")) )
Date: 2021-05-27
URL: https://urbaninstitute.github.io/education-data-package-r/
BugReports: https://github.com/UrbanInstitute/education-data-package-r/issues
Description: Allows R users to retrieve and parse data from the Urban Institute's Education Data API <https://ed-data-portal.urban.org/> into a 'data.frame' for analysis.
Depends: R (>= 3.4.0)
Imports: glue, httr, jsonlite, readr
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-27 20:06:40 UTC; kyle
Author: Kyle Ueyama [aut, cre], The Urban Institute [cph]
Maintainer: Kyle Ueyama <kueyama@urban.org>
Repository: CRAN
Date/Publication: 2021-05-31 07:30:02 UTC

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New package ClustImpute with initial version 0.2.4
Package: ClustImpute
Title: K-Means Clustering with Build-in Missing Data Imputation
Version: 0.2.4
Author: Oliver Pfaffel
Maintainer: Oliver Pfaffel <opfaffel@gmail.com>
Description: This k-means algorithm is able to cluster data with missing values and as a by-product completes the data set. The implementation can deal with missing values in multiple variables and is computationally efficient since it iteratively uses the current cluster assignment to define a plausible distribution for missing value imputation. Weights are used to shrink early random draws for missing values (i.e., draws based on the cluster assignments after few iterations) towards the global mean of each feature. This shrinkage slowly fades out after a fixed number of iterations to reflect the increasing credibility of cluster assignments. See the vignette for details.
License: GPL-3
Encoding: UTF-8
Imports: ClusterR, copula, dplyr, magrittr, tidyr, ggplot2, rlang, knitr
Suggests: ggExtra, rmarkdown, testthat (>= 2.1.0), Hmisc, tictoc, spelling, corrplot, covr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-05-27 20:22:28 UTC; opfaf
Repository: CRAN
Date/Publication: 2021-05-31 07:40:11 UTC

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Package CARBayesST updated to version 3.2.1 with previous version 3.2 dated 2021-03-30

Title: Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data
Description: Implements a class of univariate and multivariate spatio-temporal 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, or Poisson, but for some models only the binomial and Poisson data likelihoods are available. The spatio-temporal autocorrelation is modelled by random effects, which are assigned conditional autoregressive (CAR) style prior distributions. A number of different random effects structures are available, including models similar to Bernardinelli et al. (1995) <doi:10.1002/sim.4780142112> and Rushworth et al. (2014) <doi:10.1016/j.sste.2014.05.001>. Full details are given in the vignette accompanying this package. The creation and development of this package was supported by the Engineering and Physical Sciences Research Council (EPSRC) grants EP/J017442/1 and EP/T004878/1 and the Medical Research Council (MRC) grant MR/L022184/1.
Author: Duncan Lee, Alastair Rushworth, Gary Napier and William Pettersson
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

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Package CARBayes updated to version 5.2.4 with previous version 5.2.3 dated 2021-02-03

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 OpenABMCovid19 (with last version 1.0) was removed from CRAN

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

2021-05-17 1.0

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Package liayson (with last version 1.0.3) was removed from CRAN

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

2020-04-30 1.0.3

Permanent link
Package ariExtra (with last version 0.2.11) was removed from CRAN

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

2020-07-22 0.2.11
2020-07-17 0.2.10
2020-07-07 0.2.9
2020-07-03 0.2.7

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Package smoothie updated to version 1.0-3 with previous version 1.0-1 dated 2013-07-06

Title: Two-Dimensional Field Smoothing
Description: Perform two-dimensional smoothing for spatial fields using FFT and the convolution theorem (see Gilleland 2013, <doi:10.5065/D61834G2>).
Author: Eric Gilleland <EricG@ucar.edu>
Maintainer: Eric Gilleland <EricG@ucar.edu>

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Package RPresto updated to version 1.3.6 with previous version 1.3.5 dated 2020-11-13

Title: DBI Connector to Presto
Description: Implements a 'DBI' compliant interface to Presto. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes: <https://prestodb.io/>.
Author: Onur Ismail Filiz [aut], Sergey Goder [aut], Thomas J. Leeper [ctb, cre], John Myles White [ctb]
Maintainer: Thomas J. Leeper <thomasleeper@fb.com>

Diff between RPresto versions 1.3.5 dated 2020-11-13 and 1.3.6 dated 2021-05-31

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Package Rcatch22 updated to version 0.1.12 with previous version 0.1.10 dated 2021-05-18

Title: Calculation of 22 CAnonical Time-Series CHaracteristics
Description: Calculate 22 summary statistics coded in C on time-series vectors to enable pattern detection, classification, and regression applications in the feature space as proposed by Lubba et al. (2019) <doi:10.1007/s10618-019-00647-x>.
Author: Trent Henderson [cre, aut], Carl Lubba [ctb]
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>

Diff between Rcatch22 versions 0.1.10 dated 2021-05-18 and 0.1.12 dated 2021-05-31

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Package precrec updated to version 0.12.7 with previous version 0.12.5 dated 2021-04-06

Title: Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves
Description: Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves. Saito and Rehmsmeier (2015) <doi:10.1371/journal.pone.0118432>.
Author: Takaya Saito [aut, cre] (<https://orcid.org/0000-0002-0154-8452>), Marc Rehmsmeier [aut] (<https://orcid.org/0000-0002-5021-7721>)
Maintainer: Takaya Saito <takaya.saito@outlook.com>

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Package peacesciencer updated to version 0.4.0 with previous version 0.3.0 dated 2021-04-28

Title: Various Tools and Data for Quantitative Peace Science
Description: These are useful tools and data sets for the study of quantitative peace science. The goal for this package is to include tools and data sets for doing original research that mimics well what a user would have to previously get from a software package that may not be well-sourced or well-supported. Those software bundles were useful the extent to which they encourage replications of long-standing analyses by starting the data-generating process from scratch. However, a lot of the functionality can be done relatively quickly and more transparently in the R programming language.
Author: Steve Miller [aut, cre] (<https://orcid.org/0000-0003-4072-6263>)
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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Package modeltime.ensemble updated to version 0.4.1 with previous version 0.4.0 dated 2021-04-05

Title: Ensemble Algorithms for Time Series Forecasting with Modeltime
Description: A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability. Refer to papers such as "Machine-Learning Models for Sales Time Series Forecasting" Pavlyshenko, B.M. (2019) <doi:10.3390>.
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>

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New package EnvNJ with initial version 0.1.2
Package: EnvNJ
Title: Whole Genome Phylogenies Using Sequence Environments
Version: 0.1.2
Authors@R: person(given = "Juan Carlos", family = "Aledo", role = c("aut", "cre"), email = "caledo@uma.es", comment = c(ORCID = "0000-0002-3497-9945"))
Description: Contains utilities for the analysis of protein sequences in a phylogenetic context. Allows the generation of phylogenetic trees base on protein sequences in an alignment-independent way. Two different methods have been implemented. One approach is based on the frequency analysis of n-grams, previously described in Stuart et al. (2002) <doi:10.1093/bioinformatics/18.1.100>. The other approach is based on the species-specific neighborhood preference around amino acids. Features include the conversion of a protein set into a vector reflecting these neighborhood preferences, pairwise distances (dissimilarity) between these vectors, and the generation of trees based on these distance matrices.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: ape, bio3d, graphics, stringr
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-05-25 17:45:17 UTC; juancarlosaledo
Author: Juan Carlos Aledo [aut, cre] (<https://orcid.org/0000-0002-3497-9945>)
Maintainer: Juan Carlos Aledo <caledo@uma.es>
Repository: CRAN
Date/Publication: 2021-05-31 07:00:06 UTC

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Package emplik2 updated to version 1.30 with previous version 1.21 dated 2018-08-18

Title: Empirical Likelihood Ratio Test for Two Samples with Censored Data
Description: Calculates the p-value for a mean-type hypothesis (or multiple mean-type hypotheses) based on two samples with censored data.
Author: William H. Barton <williamhbarton1@gmail.com> under the supervision of Dr. Mai Zhou <mai@ms.uky.edu>
Maintainer: Mai Zhou <maizhou@gmail.com>

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Package bayestestR updated to version 0.10.0 with previous version 0.9.0 dated 2021-04-08

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors).
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>, @mattansb), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Michael D. Wilson [aut] (<https://orcid.org/0000-0003-4143-7308>), Paul-Christian Bürkner [rev], Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>), Quentin F. Gronau [ctb] (<https://orcid.org/0000-0001-5510-6943>), Sam Crawley [ctb] (<https://orcid.org/0000-0002-7847-0411>)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

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Package actuar updated to version 3.1-4 with previous version 3.1-3 dated 2021-05-28

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 zip updated to version 2.2.0 with previous version 2.1.1 dated 2020-08-27

Title: Cross-Platform 'zip' Compression
Description: Cross-Platform 'zip' Compression Library. A replacement for the 'zip' function, that does not require any additional external tools on any platform.
Author: Gábor Csárdi, Kuba Podgórski, Rich Geldreich
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package GDINA updated to version 2.8.7 with previous version 2.8.0 dated 2020-05-24

Title: The Generalized DINA Model Framework
Description: A set of psychometric tools for cognitive diagnosis modeling based on the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> and its extensions, including the sequential G-DINA model by Ma and de la Torre (2016) <DOI:10.1111/bmsp.12070> for polytomous responses, and the polytomous G-DINA model by Chen and de la Torre <DOI:10.1177/0146621613479818> for polytomous attributes. Joint attribute distribution can be independent, saturated, higher-order, loglinear smoothed or structured. Q-matrix validation, item and model fit statistics, model comparison at test and item level and differential item functioning can also be conducted. A graphical user interface is also provided. For tutorials, please check Ma and de la Torre (2020) <DOI:10.18637/jss.v093.i14>, Ma and de la Torre (2019) <DOI:10.1111/emip.12262>, Ma (2019) <DOI:10.1007/978-3-030-05584-4_29> and de la Torre and Akbay (2019) <DOI:10.14689/ejer.2019.80.9>.
Author: Wenchao Ma [aut, cre, cph], Jimmy de la Torre [aut, cph], Miguel Sorrel [ctb], Zhehan Jiang [ctb]
Maintainer: Wenchao Ma <wenchao.ma@ua.edu>

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Package dialrjars updated to version 8.12.24 with previous version 8.12.23 dated 2021-05-15

Title: Required 'libphonenumber' jars for the 'dialr' Package
Description: Collects 'libphonenumber' jars required for the 'dialr' package.
Author: Danny Smith [aut, cre], Google Inc. [ctb, cph] (libphonenumber), Vonage Holdings Corp. [ctb, cph] (libphonenumber), Ian Galpin [ctb, cph] (libphonenumber), Ben Gertzfield [ctb, cph] (libphonenumber)
Maintainer: Danny Smith <danny@gorcha.org>

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