Sun, 07 Nov 2021

Package scs updated to version 3.0-0 with previous version 1.3-2 dated 2019-11-19

Title: Splitting Conic Solver
Description: Solves convex cone programs via operator splitting. Can solve: linear programs ('LPs'), second-order cone programs ('SOCPs'), semidefinite programs ('SDPs'), exponential cone programs ('ECPs'), and power cone programs ('PCPs'), or problems with any combination of those cones. 'SCS' uses 'AMD' (a set of routines for permuting sparse matrices prior to factorization) and 'LDL' (a sparse 'LDL' factorization and solve package) from 'SuiteSparse' (<https://people.engr.tamu.edu/davis/suitesparse.html>).
Author: Florian Schwendinger [aut, cre], Brendan O'Donoghue [aut, cph], Balasubramanian Narasimhan [aut], Timothy A. Davis [cph], Patrick R. Amestory [cph], Iain S. Duff [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between scs versions 1.3-2 dated 2019-11-19 and 3.0-0 dated 2021-11-07

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More information about scs at CRAN
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Package reghelper updated to version 1.1.0 with previous version 1.0.2 dated 2021-02-20

Title: Helper Functions for Regression Analysis
Description: A set of functions used to automate commonly used methods in regression analysis. This includes plotting interactions, and calculating simple slopes, standardized coefficients, regions of significance (Johnson & Neyman, 1936; cf. Spiller et al., 2012), etc. See the reghelper documentation for more information, documentation, and examples.
Author: Jeffrey Hughes [aut, cre], David Beiner [aut]
Maintainer: Jeffrey Hughes <jeff.hughes@gmail.com>

Diff between reghelper versions 1.0.2 dated 2021-02-20 and 1.1.0 dated 2021-11-07

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Package incidence2 updated to version 1.2.3 with previous version 1.2.2 dated 2021-08-23

Title: Compute, Handle and Plot Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence2' is used to store computed incidence and can be easily manipulated, subsetted, and plotted. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis (<https://www.reconverse.org>).
Author: Tim Taylor [aut, cre] (<https://orcid.org/0000-0002-8587-7113>), Thibaut Jombart [ctb], Zhian N. Kamvar [ctb] (<https://orcid.org/0000-0003-1458-7108>)
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between incidence2 versions 1.2.2 dated 2021-08-23 and 1.2.3 dated 2021-11-07

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Package serp updated to version 0.2.3 with previous version 0.2.1 dated 2021-09-01

Title: Smooth Effects on Response Penalty for 'CLM'
Description: A regularization method for the cumulative link models. The 'smooth-effect-on-response penalty' ('SERP') provides flexible modelling of the ordinal model by enabling the smooth transition from the general cumulative link model to a coarser form of the same model. In other words, as the tuning parameter goes from zero to infinity, the subject-specific effects associated with each variable in the model tend to a unique global effect. The parameter estimates of the general cumulative model are mostly unidentifiable or at least only identifiable within a range of the entire parameter space. Thus, by maximizing a penalized rather than the usual non-penalized log-likelihood, this and other numerical problems common with the general model are to a large extent eliminated. Fitting is via a modified Newton's method. Several standard model performance and descriptive methods are also available. For more details on the penalty implemented here, see, 'Ugba (2021)' <doi:10.21105/joss.03705>, 'Ugba et al. (2021)' <doi:10.3390/stats4030037> and 'Tutz and Gertheiss (2016)' <doi:10.1177/1471082X16642560>.
Author: Ejike R. Ugba [aut, cre, cph] (<https://orcid.org/0000-0003-2572-0023>)
Maintainer: Ejike R. Ugba <ejike.ugba@outlook.com>

Diff between serp versions 0.2.1 dated 2021-09-01 and 0.2.3 dated 2021-11-07

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Package cmfrec updated to version 3.2.2-2 with previous version 3.2.2-1 dated 2021-09-26

Title: Collective Matrix Factorization for Recommender Systems
Description: Collective matrix factorization (a.k.a. multi-view or multi-way factorization, Singh, Gordon, (2008) <doi:10.1145/1401890.1401969>) tries to approximate a matrix 'X' as the product of two low-dimensional matrices aided with secondary information matrices about rows and/or columns of 'X' which are also factorized using the same latent components. The intended usage is for recommender systems, dimensionality reduction, and missing value imputation. Implements extensions of the original model (Cortes, (2018) <arXiv:1809.00366>) and can produce different factorizations such as the weighted 'implicit-feedback' model (Hu, Koren, Volinsky, (2008) <doi:10.1109/ICDM.2008.22>), the 'weighted-lambda-regularization' model, (Zhou, Wilkinson, Schreiber, Pan, (2008) <doi:10.1007/978-3-540-68880-8_32>), or the enhanced model with 'implicit features' (Rendle, Zhang, Koren, (2019) <arXiv:1905.01395>), with or without side information. Can use gradient-based procedures or alternating-least squares procedures (Koren, Bell, Volinsky, (2009) <doi:10.1109/MC.2009.263>), with either a Cholesky solver, a faster conjugate gradient solver (Takacs, Pilaszy, Tikk, (2011) <doi:10.1145/2043932.2043987>), or a non-negative coordinate descent solver (Franc, Hlavac, Navara, (2005) <doi:10.1007/11556121_50>), providing efficient methods for sparse and dense data, and mixtures thereof. Supports L1 and L2 regularization in the main models, offers alternative most-popular and content-based models, and implements functionality for cold-start recommendations and imputation of 2D data.
Author: David Cortes [aut, cre, cph], Jorge Nocedal [cph] (Copyright holder of included LBFGS library), Naoaki Okazaki [cph] (Copyright holder of included LBFGS library), David Blackman [cph] (Copyright holder of original Xoshiro code), Sebastiano Vigna [cph] (Copyright holder of original Xoshiro code)
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package inti updated to version 0.5.0 with previous version 0.4.4 dated 2021-10-01

Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and technical writing. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] (<https://orcid.org/0000-0002-0714-669X>)
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>

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 inti-0.5.0/inti/vignettes/tarpuy.Rmd                                   |    2 
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Package Directional updated to version 5.2 with previous version 5.1 dated 2021-10-29

Title: A Collection of Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include a) Phillip J. Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). An elliptically symmetric angular Gaussian distribution. Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). Comparison of discriminant analysis methods on the sphere. Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) P. J. Paine, S. P. Preston, M. Tsagris and Andrew T. A. Wood (2020). Spherical regression models with general covariates and anisotropic errors. Statistics and Computing 30(1): 153--165. <doi:10.1007/s11222-019-09872-2>.
Author: Michail Tsagris, Giorgos Athineou, Christos Adam, Anamul Sajib, Eli Amson, Micah J. Waldstein
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between Directional versions 5.1 dated 2021-10-29 and 5.2 dated 2021-11-07

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Package whitening updated to version 1.3.0 with previous version 1.2.0 dated 2020-12-06

Title: Whitening and High-Dimensional Canonical Correlation Analysis
Description: Implements the whitening methods (ZCA, PCA, Cholesky, ZCA-cor, and PCA-cor) discussed in Kessy, Lewin, and Strimmer (2018) "Optimal whitening and decorrelation", <doi:10.1080/00031305.2016.1277159>, as well as the whitening approach to canonical correlation analysis allowing negative canonical correlations described in Jendoubi and Strimmer (2019) "A whitening approach to probabilistic canonical correlation analysis for omics data integration", <doi:10.1186/s12859-018-2572-9>. The package also offers a function to simulate random orthogonal matrices.
Author: Korbinian Strimmer, Takoua Jendoubi, Agnan Kessy, Alex Lewin
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

Diff between whitening versions 1.2.0 dated 2020-12-06 and 1.3.0 dated 2021-11-07

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 12 files changed, 38 insertions(+), 31 deletions(-)

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Package tibble updated to version 3.1.6 with previous version 3.1.5 dated 2021-09-30

Title: Simple Data Frames
Description: Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the traditional data frame.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], Romain Francois [ctb], Jennifer Bryan [ctb], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between tibble versions 3.1.5 dated 2021-09-30 and 3.1.6 dated 2021-11-07

 DESCRIPTION                                       |    6 
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New package text2sdg with initial version 0.1.1
Package: text2sdg
Version: 0.1.1
Date: 2021-11-05
Title: Detecting UN Sustainable Development Goals in Text
Description: The United Nations’ Sustainable Development Goals (SDGs) have become an important guideline for organisations to monitor and plan their contributions to social, economic, and environmental transformations. The 'text2sdg' package is an open-source analysis package that identifies SDGs in text using scientifically developed query systems, opening up the opportunity to monitor any type of text-based data, such as scientific output or corporate publications.
Maintainer: Dominik S. Meier <dominikmeier@outlook.com>
URL: https://github.com/dwulff/text2sdg
BugReports: https://github.com/dwulff/text2sdg/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: magrittr, dplyr, corpustools (>= 0.4.2), tidyr, tibble, stringr, ggplot2
Suggests: testthat, knitr, rmarkdown
LazyData: TRUE
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-11-05 20:08:38 UTC; meidom02
Author: Dirk U. Wulff [aut] (<https://orcid.org/0000-0002-4008-8022>), Dominik S. Meier [aut, cre] (<https://orcid.org/0000-0002-3999-1388>), Rui Mata [ctb] (<https://orcid.org/0000-0002-1679-906X>)
Repository: CRAN
Date/Publication: 2021-11-07 17:10:02 UTC

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New package MixfMRI with initial version 0.1-2
Package: MixfMRI
Version: 0.1-2
Date: 2021-11-06
Title: Mixture fMRI Clustering Analysis
Depends: R (>= 4.0.0)
Imports: MASS, Matrix, RColorBrewer, fftw, MixSim, EMCluster
Enhances: pbdMPI (>= 0.3-4), AnalyzeFMRI, oro.nifti
LazyLoad: yes
LazyData: yes
Description: Utilizing model-based clustering (unsupervised) for functional magnetic resonance imaging (fMRI) data. The developed methods (Chen and Maitra (2021) <arXiv:2102.03639>) include 2D and 3D clustering analyses (for p-values with voxel locations) and segmentation analyses (for p-values alone) for fMRI data where p-values indicate significant level of activation responding to stimulate of interesting. The analyses are mainly identifying active voxel/signal associated with normal brain behaviors. Analysis pipelines (R scripts) utilizing this package (see examples in 'inst/workflow/') is also implemented with high performance techniques.
License: Mozilla Public License 2.0
BugReports: https://github.com/snoweye/MixfMRI/issues
URL: https://github.com/snoweye/MixfMRI
NeedsCompilation: yes
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>
Packaged: 2021-11-07 01:02:51 UTC; snoweye
Author: Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Dan Nettleton [ctb]
Repository: CRAN
Date/Publication: 2021-11-07 17:20:07 UTC

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Package lfe updated to version 2.8-7.1 with previous version 2.8-7 dated 2021-07-31

Title: Linear Group Fixed Effects
Description: Transforms away factors with many levels prior to doing an OLS. Useful for estimating linear models with multiple group fixed effects, and for estimating linear models which uses factors with many levels as pure control variables. See Gaure (2013) <doi:10.1016/j.csda.2013.03.024> Includes support for instrumental variables, conditional F statistics for weak instruments, robust and multi-way clustered standard errors, as well as limited mobility bias correction (Gaure 2014 <doi:10.1002/sta4.68>). WARNING: This package is NOT under active development anymore, no further improvements are to be expected, and the package is at risk of being removed from CRAN.
Author: Simen Gaure [aut] (<https://orcid.org/0000-0001-7251-8747>), Grant McDermott [ctb], Karl Dunkle Werner [ctb], Matthieu Stigler [ctb, cre] (<https://orcid.org/0000-0002-6802-4290>), Daniel Lüdecke [ctb]
Maintainer: Matthieu Stigler <Matthieu.Stigler@gmail.com>

Diff between lfe versions 2.8-7 dated 2021-07-31 and 2.8-7.1 dated 2021-11-07

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New package cubfits with initial version 0.1-4
Package: cubfits
Version: 0.1-4
Date: 2021-11-06
Title: Codon Usage Bias Fits
Depends: R(>= 4.0.0), methods, coda, foreach, parallel, stats, graphics, utils
Suggests: seqinr, VGAM, EMCluster
Enhances: pbdMPI (>= 0.3-1)
LazyLoad: yes
LazyData: yes
Description: Estimating mutation and selection coefficients on synonymous codon bias usage based on models of ribosome overhead cost (ROC). Multinomial logistic regression and Markov Chain Monte Carlo are used to estimate and predict protein production rates with/without the presence of expressions and measurement errors. Work flows with examples for simulation, estimation and prediction processes are also provided with parallelization speedup. The whole framework is tested with yeast genome and gene expression data of Yassour, et al. (2009) <doi:10.1073/pnas.0812841106>.
License: Mozilla Public License 2.0
BugReports: https://github.com/snoweye/cubfits/issues
URL: https://github.com/snoweye/cubfits
NeedsCompilation: yes
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>
Packaged: 2021-11-07 01:53:23 UTC; snoweye
Author: Wei-Chen Chen [aut, cre], Russell Zaretzki [aut], William Howell [aut], Cedric Landerer [aut], Drew Schmidt [aut], Michael A. Gilchrist [aut], Preston Hewgley [ctb], Students REU13 [ctb]
Repository: CRAN
Date/Publication: 2021-11-07 17:20:02 UTC

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Package JamendoR updated to version 0.1.1 with previous version 0.1.0 dated 2019-04-15

Title: Access to 'Jamendo' API
Description: Provides an interface to 'Jamendo' API <https://developer.jamendo.com/v3.0>. Pull audio, features and other information for a given 'Jamendo' user (including yourself!) or enter an artist's -, album's -, or track's name and retrieve the available information in seconds.
Author: Maximilian Greil [aut, cre], Benedikt Greil [aut]
Maintainer: Maximilian Greil <maximilian_greil@web.de>

Diff between JamendoR versions 0.1.0 dated 2019-04-15 and 0.1.1 dated 2021-11-07

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More information about JamendoR at CRAN
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Package igraph updated to version 1.2.8 with previous version 1.2.7 dated 2021-10-15

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: See AUTHORS file.
Maintainer: Tamás Nepusz <ntamas@gmail.com>

Diff between igraph versions 1.2.7 dated 2021-10-15 and 1.2.8 dated 2021-11-07

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 33 files changed, 1318 insertions(+), 1279 deletions(-)

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Package freesurferformats updated to version 0.1.16 with previous version 0.1.15 dated 2021-05-25

Title: Read and Write 'FreeSurfer' Neuroimaging File Formats
Description: Provides functions to read and write neuroimaging data in various file formats, with a focus on 'FreeSurfer' <http://freesurfer.net/> formats. This includes, but is not limited to, the following file formats: 1) MGH/MGZ format files, which can contain multi-dimensional images or other data. Typically they contain time-series of three-dimensional brain scans acquired by magnetic resonance imaging (MRI). They can also contain vertex-wise measures of surface morphometry data. The MGH format is named after the Massachusetts General Hospital, and the MGZ format is a compressed version of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv' format. These contain vertex-wise surface measures, i.e., one scalar value for each vertex of a brain surface mesh. These are typically values like the cortical thickness or brain surface area at each vertex. 3) Annotation file format. This contains a brain surface parcellation derived from a cortical atlas. 4) Surface file format. Contains a brain surface mesh, given by a list of vertices and a list of faces.
Author: Tim Schäfer [aut, cre] (<https://orcid.org/0000-0002-3683-8070>)
Maintainer: Tim Schäfer <ts+code@rcmd.org>

Diff between freesurferformats versions 0.1.15 dated 2021-05-25 and 0.1.16 dated 2021-11-07

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Package DominoDataCapture updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-02

Title: Domino Data Capture
Description: Instrument prediction code that lets you capture inputs to the model, predictions, prediction properties, and other metadata.
Author: Vivekananda Tadala [aut, cre], Sayan Nayak [ctb], Domino Data Lab Inc. [cph]
Maintainer: Vivekananda Tadala <vivekananda.tadala@dominodatalab.com>

Diff between DominoDataCapture versions 0.1.0 dated 2021-11-02 and 0.1.1 dated 2021-11-07

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 7 files changed, 44 insertions(+), 42 deletions(-)

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Permanent link

New package cyclestreets with initial version 0.5.2
Package: cyclestreets
Title: Cycle Routing and Data for Cycling Advocacy
Version: 0.5.2
Description: An interface to the cycle routing/data services provided by 'CycleStreets', a not-for-profit social enterprise and advocacy organisation. The application programming interfaces (APIs) provided by 'CycleStreets' are documented at (<https://www.cyclestreets.net/api/>). The focus of this package is the journey planning API, which aims to emulate the routes taken by a knowledgeable cyclist. An innovative feature of the routing service of its provision of fastest, quietest and balanced profiles. These represent routes taken to minimise time, avoid traffic and compromise between the two, respectively.
License: GPL-3
URL: https://rpackage.cyclestreets.net/, https://github.com/cyclestreets/cyclestreets-r
BugReports: https://github.com/cyclestreets/cyclestreets-r/issues
Depends: R (>= 3.6.0)
Imports: geodist, httr, jsonlite, magrittr, sf, stringr
Suggests: covr, stplanr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-11-02 13:46:06 UTC; robin
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Martin Lucas-Smith [aut], Eric Krueger [ctb], Joey Talbot [aut] (<https://orcid.org/0000-0002-6520-4560>)
Maintainer: Robin Lovelace <rob00x@gmail.com>
Repository: CRAN
Date/Publication: 2021-11-07 16:20:02 UTC

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Package contentid updated to version 0.0.14 with previous version 0.0.12 dated 2021-08-08

Title: An Interface for Content-Based Identifiers
Description: An interface for creating, registering, and resolving content-based identifiers for data management. Content-based identifiers rely on the 'cryptographic' hashes to refer to the files they identify, thus, anyone possessing the file can compute the identifier using a well-known standard algorithm, such as 'SHA256'. By registering a URL at which the content is accessible to a public archive (such as Hash Archive) or depositing data in a scientific repository such 'Zenodo', 'DataONE' or 'SoftwareHeritage', the content identifier can serve many functions typically associated with A Digital Object Identifier ('DOI'). Unlike location-based identifiers like 'DOIs', content-based identifiers permit the same content to be registered in many locations.
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>), Jorrit Poelen [aut] (<https://orcid.org/0000-0003-3138-4118>), NSF OAC 1839201 [fnd] (https://www.nsf.gov/awardsearch/showAward?AWD_ID=1839201)
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between contentid versions 0.0.12 dated 2021-08-08 and 0.0.14 dated 2021-11-07

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New package shiny.semantic with initial version 0.4.3
Package: shiny.semantic
Title: Semantic UI Support for Shiny
Version: 0.4.3
Description: Creating a great user interface for your Shiny apps can be a hassle, especially if you want to work purely in R and don't want to use, for instance HTML templates. This package adds support for a powerful UI library Fomantic UI - <https://fomantic-ui.com/> (before Semantic). It also supports universal UI input binding that works with various DOM elements.
BugReports: https://github.com/Appsilon/shiny.semantic/issues
Encoding: UTF-8
License: MIT + file LICENSE
VignetteBuilder: knitr
Imports: shiny (>= 0.12.1), htmltools (>= 0.2.6), htmlwidgets (>= 0.8), purrr (>= 0.2.2), stats, magrittr, jsonlite, grDevices, glue, R6
Suggests: dplyr, tibble, knitr, testthat, lintr, DT, covr, leaflet, plotly, rmarkdown, markdown
NeedsCompilation: no
Packaged: 2021-11-06 18:20:58 UTC; jakub
Author: Filip Stachura [aut], Dominik Krzeminski [aut], Krystian Igras [aut], Adam Forys [aut], Paweł Przytuła [aut], Jakub Chojna [aut], Olga Mierzwa-Sulima [aut], Ashley Baldry [ctb], Jakub Chojna [ctb], Olga Mierzwa-Sulima [ctb], Pedro Manuel Coutinho da Silva [ctb], Paweł Przytuła [ctb], Kamil Żyła [ctb], Rabii Bouhestine [ctb], Developers Appsilon [cre], Appsilon Sp. z o.o. [cph]
Maintainer: Developers Appsilon <support+opensource@appsilon.com>
Repository: CRAN
Date/Publication: 2021-11-07 16:00:02 UTC

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Package neatStats updated to version 1.8.1 with previous version 1.7.3 dated 2021-08-18

Title: Neat and Painless Statistical Reporting
Description: User-friendly, clear and simple statistics, primarily for publication in psychological science. The main functions are wrappers for other packages, but there are various additions as well. Every relevant step from data aggregation to reportable printed statistics is covered for basic experimental designs.
Author: Gáspár Lukács [aut, cre] (<https://orcid.org/0000-0001-9401-4830>), Bennett Kleinberg [ctb] (<https://orcid.org/0000-0003-1658-9086>), Johnny van Doorn [ctb] (<https://orcid.org/0000-0003-0270-096X>)
Maintainer: Gáspár Lukács <lkcsgaspar@gmail.com>

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Package lqmm updated to version 1.5.6 with previous version 1.5.5 dated 2019-12-13

Title: Linear Quantile Mixed Models
Description: Functions to fit quantile regression models for hierarchical data (2-level nested designs) as described in Geraci and Bottai (2014, Statistics and Computing) <doi:10.1007/s11222-013-9381-9>. A vignette is given in Geraci (2014, Journal of Statistical Software) <doi:10.18637/jss.v057.i13> and included in the package documents. The packages also provides functions to fit quantile models for independent data and for count responses.
Author: Marco Geraci
Maintainer: Marco Geraci <marco.geraci@uniroma1.it>

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Package isogeochem updated to version 1.0.9 with previous version 1.0.8.3 dated 2021-11-03

Title: Tools for Carbonate Isotope Geochemistry
Description: This toolbox makes working with carbonate oxygen, carbon, and clumped isotope data reproducible and straightforward. Use it to quickly calculate isotope fractionation factors, and apply paleothermometry equations.
Author: David Bajnai [aut, cre] (<https://orcid.org/0000-0002-4053-5056>), Julian Tödter [ctb]
Maintainer: David Bajnai <david.bajnai@uni-goettingen.de>

Diff between isogeochem versions 1.0.8.3 dated 2021-11-03 and 1.0.9 dated 2021-11-07

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Package estimatr updated to version 0.30.4 with previous version 0.30.2 dated 2021-01-17

Title: Fast Estimators for Design-Based Inference
Description: Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>.
Author: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb], Lily Medina [ctb], Russell Lenth [ctb]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>

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Package aghq updated to version 0.3.1 with previous version 0.3.0 dated 2021-11-05

Title: Adaptive Gauss Hermite Quadrature for Bayesian Inference
Description: Adaptive Gauss Hermite Quadrature for Bayesian inference. The AGHQ method for normalizing posterior distributions and making Bayesian inferences based on them. Functions are provided for doing quadrature and marginal Laplace approximations, and summary methods are provided for making inferences based on the results. See Stringer (2021). "Implementing Adaptive Quadrature for Bayesian Inference: the aghq Package" <arXiv:2101.04468>.
Author: Alex Stringer
Maintainer: Alex Stringer <alex.stringer@uwaterloo.ca>

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Package nearfar (with last version 1.2) was removed from CRAN

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

2018-08-30 1.2
2017-06-02 1.1
2016-08-31 1.0

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Package thectar (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:

2019-11-15 1.0.0

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Package miceMNAR (with last version 1.0.2) was removed from CRAN

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

2018-08-27 1.0.2
2018-05-29 1.0.1
2018-04-12 1.0

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Package lacunaritycovariance updated to version 1.1-2 with previous version 1.1-1 dated 2021-03-24

Title: Gliding Box Lacunarity and Other Metrics for 2D Random Closed Sets
Description: Functions for estimating the gliding box lacunarity (GBL), covariance, and pair-correlation of a random closed set (RACS) in 2D from a binary coverage map (e.g. presence-absence land cover maps). Contains a number of newly-developed covariance-based estimators of GBL (Hingee et al., 2019) <doi:10.1007/s13253-019-00351-9> and balanced estimators, proposed by Picka (2000) <http://www.jstor.org/stable/1428408>, for covariance, centred covariance, and pair-correlation. Also contains methods for estimating contagion-like properties of RACS and simulating 2D Boolean models. Binary coverage maps are usually represented as raster images with pixel values of TRUE, FALSE or NA, with NA representing unobserved pixels. A demo for extracting such a binary map from a geospatial data format is provided. Binary maps may also be represented using polygonal sets as the foreground, however for most computations such maps are converted into raster images. The package is based on research conducted during the author's PhD studies.
Author: Kassel Liam Hingee
Maintainer: Kassel Liam Hingee <kassel.hingee@gmail.com>

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Package HDBRR updated to version 1.1.3 with previous version 1.1.2 dated 2021-10-21

Title: High Dimensional Bayesian Ridge Regression without MCMC
Description: Ridge regression provide biased estimators of the regression parameters with lower variance. The HDBRR ("High Dimensional Bayesian Ridge Regression") function fits Bayesian Ridge regression without MCMC, this one uses the SVD or QR decomposition for the posterior computation.
Author: Sergio Perez-Elizalde Developer [aut], Blanca Monroy-Castillo Developer [aut, cre], Paulino Perez-Rodriguez User [ctb], Jose Crossa User [ctb]
Maintainer: Blanca Monroy-Castillo Developer <blancamonroy.96@gmail.com>

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Package dash updated to version 0.9.3 with previous version 0.9.2 dated 2021-11-03

Title: An Interface to the Dash Ecosystem for Authoring Reactive Web Applications
Description: A framework for building analytical web applications, Dash offers a pleasant and productive development experience. No JavaScript required.
Author: Chris Parmer [aut], Ryan Patrick Kyle [aut] (<https://orcid.org/0000-0001-5829-9867>), Carson Sievert [aut] (<https://orcid.org/0000-0002-4958-2844>), Hammad Khan [aut, cre] (<https://orcid.org/0000-0003-2479-9841>), Plotly Technologies [cph]
Maintainer: Hammad Khan <hammadkhan@plotly.com>

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Package gamlss.data updated to version 6.0-2 with previous version 6.0-1 dated 2021-03-18

Title: Data for Generalised Additive Models for Location Scale and Shape
Description: Data used as examples in the current two books on Generalised Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>.
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby, Fernanda De Bastiani
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

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Package yorkr updated to version 0.0.28 with previous version 0.0.27 dated 2021-10-10

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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 yorkr-0.0.28/yorkr/man/topRunsBatsmenAcrossOversOppnAllMatches.Rd      |only
 yorkr-0.0.28/yorkr/man/topSRBatsmenAcrossOversAllOppnAllMatches.Rd     |only
 yorkr-0.0.28/yorkr/man/topSRBatsmenAcrossOversOppnAllMatches.Rd        |only
 yorkr-0.0.28/yorkr/man/topWicketsBowlerAcrossOversAllOppnAllMatches.Rd |only
 yorkr-0.0.28/yorkr/man/topWicketsBowlerAcrossOversOppnAllMatches.Rd    |only
 73 files changed, 108 insertions(+), 58 deletions(-)

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Package geos updated to version 0.1.3 with previous version 0.1.2 dated 2021-10-22

Title: Open Source Geometry Engine ('GEOS') R API
Description: Provides an R API to the Open Source Geometry Engine ('GEOS') library (<https://trac.osgeo.org/geos/>) and a vector format with which to efficiently store 'GEOS' geometries. High-performance functions to extract information from, calculate relationships between, and transform geometries are provided. Finally, facilities to import and export geometry vectors to other spatial formats are provided.
Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>), Edzer Pebesma [aut] (<https://orcid.org/0000-0001-8049-7069>)
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

Diff between geos versions 0.1.2 dated 2021-10-22 and 0.1.3 dated 2021-11-07

 DESCRIPTION                               |    9 -
 MD5                                       |   52 +++++-----
 NAMESPACE                                 |    7 +
 NEWS.md                                   |   20 +++
 R/compat-sf.R                             |    8 -
 R/geos-binary-atomic.R                    |   20 +++
 R/geos-io.R                               |   35 ++++++
 R/geos-plot.R                             |  102 ++++++++++++++++----
 R/geos-unary-geometry.R                   |   51 +++++++++-
 man/figures/README-ex-plot-1.png          |binary
 man/geos_centroid.Rd                      |   33 +++++-
 man/geos_delaunay_triangles.Rd            |    3 
 man/geos_distance.Rd                      |    9 +
 man/geos_read_wkt.Rd                      |   27 ++++-
 man/plot.geos_geometry.Rd                 |   20 ++-
 src/geos-binary-atomic.c                  |  121 ++++++++++++++++++++++-
 src/geos-io.c                             |  152 +++++++++++++++++++++++++++++-
 src/geos-unary-geometry.c                 |  101 +++++++++++++++++++
 src/init.c                                |   22 +++-
 tests/testthat/Rplots.pdf                 |binary
 tests/testthat/test-geos-binary-atomic.R  |   30 +++++
 tests/testthat/test-geos-geometry.R       |    8 -
 tests/testthat/test-geos-io.R             |   54 ++++++++++
 tests/testthat/test-geos-plot.R           |   14 ++
 tests/testthat/test-geos-strtree.R        |    2 
 tests/testthat/test-geos-unary-atomic.R   |    8 -
 tests/testthat/test-geos-unary-geometry.R |   59 +++++++++++
 27 files changed, 859 insertions(+), 108 deletions(-)

More information about geos at CRAN
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Package CatPredi (with last version 1.2) was removed from CRAN

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

2021-09-30 1.2

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Package CPE (with last version 1.5.1) was removed from CRAN

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

2018-09-25 1.5.1
2012-07-07 1.4.4
2012-03-01 1.4.3
2011-12-02 1.4.2

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