Mon, 03 May 2021

Package sotkanet updated to version 0.9.76 with previous version 0.9.48 dated 2017-05-16

Title: Sotkanet Open Data Access and Analysis
Description: Access statistical information on welfare and health in Finland from the Sotkanet open data portal <https://sotkanet.fi/sotkanet/fi/index>.
Author: Leo Lahti [aut, cre] (<https://orcid.org/0000-0001-5537-637X>), Einari Happonen [aut], Joona Lehtomaki [ctb], Juuso Parkkinen [ctb], Vesa Saaristo [ctb], Pyry Kantanen [ctb]
Maintainer: Leo Lahti <leo.lahti@iki.fi>

Diff between sotkanet versions 0.9.48 dated 2017-05-16 and 0.9.76 dated 2021-05-03

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Package RFLPtools updated to version 1.9 with previous version 1.8 dated 2021-02-23

Title: Tools to Analyse RFLP Data
Description: Provides functions to analyse DNA fragment samples (i.e. derived from RFLP-analysis) and standalone BLAST report files (i.e. DNA sequence analysis).
Author: Fabienne Flessa [aut], Alexandra Kehl [aut] (<https://orcid.org/0000-0002-1547-0713>), Mohammed Aslam Imtiaz [aut], Matthias Kohl [aut, cre] (<https://orcid.org/0000-0001-9514-8910>)
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package pagoda2 updated to version 1.0.3 with previous version 1.0.2 dated 2021-03-04

Title: Single Cell Analysis and Differential Expression
Description: Analyzing and interactively exploring large-scale single-cell RNA-seq datasets. 'pagoda2' primarily performs normalization and differential gene expression analysis, with an interactive application for exploring single-cell RNA-seq datasets. It performs basic tasks such as cell size normalization, gene variance normalization, and can be used to identify subpopulations and run differential expression within individual samples. 'pagoda2' was written to rapidly process modern large-scale scRNAseq datasets of approximately 1e6 cells. The companion web application allows users to explore which gene expression patterns form the different subpopulations within your data. The package also serves as the primary method for preprocessing data for conos, <https://github.com/kharchenkolab/conos>. This package interacts with data available through the 'p2data' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/pagoda2>. The size of the 'p2data' package is approximately 6 MB.
Author: Nikolas Barkas [aut], Viktor Petukhov [aut], Peter Kharchenko [aut], Simon Steiger [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

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Package packageRank updated to version 0.4.2 with previous version 0.4.1 dated 2021-04-06

Title: Computation and Visualization of Package Download Counts and Percentiles
Description: Compute and visualize the cross-sectional and longitudinal number and rank percentile of package downloads from RStudio's CRAN mirror.
Author: Peter Li [aut, cre]
Maintainer: Peter Li <lindbrook@gmail.com>

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Package KernelKnn updated to version 1.1.1 with previous version 1.1.0 dated 2019-11-29

Title: Kernel k Nearest Neighbors
Description: Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package PtProcess updated to version 3.3-16 with previous version 3.3-13 dated 2017-11-16

Title: Time Dependent Point Process Modelling
Description: Fits and analyses time dependent marked point process models with an emphasis on earthquake modelling. For a more detailed introduction to the package, see the topic "PtProcess". A list of recent changes can be found in the topic "Change Log".
Author: David Harte
Maintainer: David Harte <d.s.harte@gmail.com>

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Package ClusterR updated to version 1.2.3 with previous version 1.2.2 dated 2020-05-12

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>), Conrad Sanderson [cph] (Author of the C++ Armadillo library), Ryan Curtin [cph] (Author of the C++ Armadillo library), Siddharth Agrawal [cph] (Author of the C code of the Mini-Batch-Kmeans algorithm (https://github.com/siddharth-agrawal/Mini-Batch-K-Means)), Brendan Frey [cph] (Author of the matlab code of the Affinity propagation algorithm (for commercial use please contact the author of the matlab code)), Delbert Dueck [cph] (Author of the matlab code of the Affinity propagation algorithm)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package geos updated to version 0.1.0 with previous version 0.0.2 dated 2021-01-04

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>

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Package FiSh updated to version 1.1 with previous version 1.0 dated 2019-12-16

Title: Fisher-Shannon Method
Description: Proposes non-parametric estimates of the Fisher information measure and the Shannon entropy power. More theoretical and implementation details can be found in Guignard et al. <doi:10.3389/feart.2020.00255>. A 'python' version of this work is available on 'github' and 'PyPi' ('FiShPy').
Author: Fabian Guignard [aut], Mohamed Laib [aut, cre]
Maintainer: Mohamed Laib <laib.med@gmail.com>

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Package phangorn updated to version 2.7.0 with previous version 2.6.3 dated 2021-04-06

Title: Phylogenetic Reconstruction and Analysis
Description: Allows for estimation of phylogenetic trees and networks using Maximum Likelihood, Maximum Parsimony, distance methods and Hadamard conjugation. Offers methods for tree comparison, model selection and visualization of phylogenetic networks as described in Schliep et al. (2017) <doi:10.1111/2041-210X.12760>.
Author: Klaus Schliep [aut, cre] (<https://orcid.org/0000-0003-2941-0161>), Emmanuel Paradis [aut] (<https://orcid.org/0000-0003-3092-2199>), Leonardo de Oliveira Martins [aut] (<https://orcid.org/0000-0001-5247-1320>), Alastair Potts [aut], Tim W. White [aut], Cyrill Stachniss [ctb], Michelle Kendall [ctb], Keren Halabi [ctb], Richel Bilderbeek [ctb], Kristin Winchell [ctb], Liam Revell [ctb], Mike Gilchrist [ctb], Jeremy Beaulieu [ctb], Brian O'Meara [ctb], Long Qu [ctb]
Maintainer: Klaus Schliep <klaus.schliep@gmail.com>

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Package ssh updated to version 0.8.0 with previous version 0.7.0 dated 2020-07-21

Title: Secure Shell (SSH) Client for R
Description: Connect to a remote server over SSH to transfer files via SCP, setup a secure tunnel, or run a command or script on the host while streaming stdout and stderr directly to the client.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package mapping updated to version 1.2 with previous version 1.1 dated 2021-04-16

Title: Automatic Download, Linking, Manipulating Coordinates for Maps
Description: Maps are an important tool to visualise variables distribution across different spatial object. The mapping process require to link the data with coordinates and then generate the correspondent map. This package provide coordinates, linking and mapping functions for an automatic, flexible and easy approach of mapping workflow of different geographical statistical unit.Geographical coordinates are provided in the package and automatically linked with the input data to generate maps with internal provided functions or external functions.provide an easy, flexible and automatic approach to potentially download updated coordinates, to link statistical units with coordinates and to aggregate variables based on the spatial hierarchy of units. The object returned from the package can be used for thematic maps with the build-in functions provided in mapping or with other packages already available.
Author: Alessio Serafini [aut, cre], Giancarlo Ferrara [aut]
Maintainer: Alessio Serafini <srf.alessio@gmail.com>

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Package hBayesDM updated to version 1.1.1 with previous version 1.0.2 dated 2019-11-13

Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
Description: Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of various computational models with a single line of coding (Ahn et al., 2017) <doi:10.1162/CPSY_a_00002>.
Author: Woo-Young Ahn [aut, cre], Nate Haines [aut], Lei Zhang [aut], Harhim Park [ctb], Jaeyeong Yang [ctb], Jethro Lee [ctb]
Maintainer: Woo-Young Ahn <wooyoung.ahn@gmail.com>

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Package disaggR updated to version 0.2.1 with previous version 0.2.0.3 dated 2021-04-11

Title: Two-Steps Benchmarks for Time Series Disaggregation
Description: The twoStepsBenchmark() and threeRuleSmooth() functions allow you to disaggregate a low-frequency time-serie with time-series of higher frequency, using the French National Accounts methodology. The aggregated sum of the resulting time-serie is strictly equal to the low-frequency serie within the benchmarking window. Typically, the low-frequency serie is an annual one, unknown for the last year, and the high frequency one is either quarterly or mensual. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8).
Author: Arnaud Feldmann [aut, cre] (<https://orcid.org/0000-0003-0109-7505>), Franck Arnaud [ctb] (barplot base graphics method for the mts class), Institut national de la statistique et des études économiques [cph] (https://www.insee.fr/)
Maintainer: Arnaud Feldmann <arnaud.feldmann@insee.fr>

Diff between disaggR versions 0.2.0.3 dated 2021-04-11 and 0.2.1 dated 2021-05-03

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New package vetr with initial version 0.2.13
Package: vetr
Title: Trust, but Verify
Description: Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Version: 0.2.13
Authors@R: c( person("Brodie", "Gaslam", email="brodie.gaslam@yahoo.com", role=c("aut", "cre")), person(family="Paxdiablo", role="cph", comment="Hash table implementation in src/pfhash.h"), person(family="R Core Team", email="R-core@r-project.org", role="cph", comment="Used/adapted several code snippets from R sources, see src/misc-alike.c and src/valname.c" ))
Depends: R (>= 3.2.0)
License: GPL (>= 2)
URL: https://github.com/brodieG/vetr
BugReports: https://github.com/brodieG/vetr/issues
VignetteBuilder: knitr
Imports: methods, stats, utils
Suggests: knitr, rmarkdown, unitizer
NeedsCompilation: yes
Packaged: 2021-05-03 11:29:52 UTC; bg
Author: Brodie Gaslam [aut, cre], Paxdiablo [cph] (Hash table implementation in src/pfhash.h), R Core Team [cph] (Used/adapted several code snippets from R sources, see src/misc-alike.c and src/valname.c)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>
Repository: CRAN
Date/Publication: 2021-05-03 14:20:03 UTC

More information about vetr at CRAN
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Package Sojourn.Data updated to version 0.3.0 with previous version 0.2.0 dated 2021-04-17

Title: Supporting Objects for Sojourn Accelerometer Methods
Description: Stores objects (e.g. neural networks) that are needed for using Sojourn accelerometer methods. For more information, see Lyden K, Keadle S, Staudenmayer J, & Freedson P (2014) <doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ, Kim Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>, and Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018) <doi:10.1249/MSS.0000000000001486>.
Author: Paul R. Hibbing [aut, cre], Kate Lyden [aut]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>

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Package passt updated to version 0.1.3 with previous version 0.1.1 dated 2019-12-05

Title: Probability Associator Time (PASS-T)
Description: Simulates judgments of frequency and duration based on the Probability Associator Time (PASS-T) model. PASS-T is a memory model based on a simple competitive artificial neural network. It can imitate human judgments of frequency and duration, which have been extensively studied in cognitive psychology (e.g. Hintzman (1970) <doi:10.1037/h0028865>, Betsch et al. (2010) <https://psycnet.apa.org/record/2010-18204-003>). The PASS-T model is an extension of the PASS model (Sedlmeier, 2002, ISBN:0198508638). The package provides an easy way to run simulations, which can then be compared with empirical data in human judgments of frequency and duration.
Author: Johannes Titz [aut, cre]
Maintainer: Johannes Titz <johannes.titz@gmail.com>

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Package KernSmooth updated to version 2.23-20 with previous version 2.23-18 dated 2020-10-29

Title: Functions for Kernel Smoothing Supporting Wand & Jones (1995)
Description: Functions for kernel smoothing (and density estimation) corresponding to the book: Wand, M.P. and Jones, M.C. (1995) "Kernel Smoothing".
Author: Matt Wand [aut], Cleve Moler [ctb] (LINPACK routines in src/d*), Brian Ripley [trl, cre, ctb] (R port and updates)
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

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Package GUniFrac updated to version 1.2 with previous version 1.1 dated 2018-02-12

Title: Generalized UniFrac Distances and Distance-Based Multivariate Analysis of Variance
Description: Implementation of generalized UniFrac distances for comparing microbial communities and three extensions to the PERMANOVA procedure. The three extensions are: (1) PERMANOVA using the Freedman-Lane permutation scheme; (2) PERMANOVA omnibus test using multiple matrices; and (3) Analytical approach to approximating PERMANOVA p-value.
Author: Jun Chen
Maintainer: Jun Chen <chen.jun2@mayo.edu>

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Package spatialreg updated to version 1.1-8 with previous version 1.1-5 dated 2019-12-01

Title: Spatial Regression Analysis
Description: A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep', 'sphet' and 'spse'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximum likelihood and MCMC fitting are compared by 'Bivand et al.' (2013) <doi:10.1111/gean.12008>, and model fitting methods by 'Bivand' and 'Piras' (2015) <doi:10.18637/jss.v063.i18>; both of these articles include extensive lists of references. 'spatialreg' >= 1.1-* correspond to 'spdep' >= 1.1-1, in which the model fitting functions are deprecated and pass through to 'spatialreg', but will mask those in 'spatialreg'. From versions 1.2-*, the functions will be made defunct in 'spdep'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Gianfranco Piras [aut], Luc Anselin [ctb], Andrew Bernat [ctb], Eric Blankmeyer [ctb], Yongwan Chun [ctb], Virgilio Gómez-Rubio [ctb], Daniel Griffith [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], James LeSage [ctb], Angela Li [ctb], Jielai Ma [ctb], Abhirup Mallik [ctb, trl], Giovanni Millo [ctb], Kelley Pace [ctb], Pedro Peres-Neto [ctb], Tobias Rüttenauer [ctb], Mauricio Sarrias [ctb], JuanTomas Sayago [ctb], Michael Tiefelsdorf [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package MetaDBparse updated to version 2.0.0 with previous version 1.0.0 dated 2020-09-09

Title: Annotate Mass over Charge Values with Databases and Formula Prediction
Description: Provides parsing functionality for over 30 metabolomics databases, with most available without having to create an account on given websites. Once parsed, calculates given adducts and isotope patterns and inserts into one big database which can be used to annotate unknown m/z values. Furthermore, formulas can be predicted for a given m/z, and these can be matched to ChemSpider, PubChem, SUPERNATURAL II, KNApSAcK and ChemIDplus for further annotation. Current databases available: HMDB, ChEBI, LMDB, BMDB, MCDB, ECMDB, Wikidata, mVOC, VMH, T3DB, Exposome Explorer, FooDB, MetaCyc (requires account), DrugBank (requires account), ReSPECT, MaConDa, Blood Exposome DB, KEGG, SMPDB, LIPID MAPS, MetaboLights, DimeDB, Phenol Explorer, MassBank, YMDB, PAMDB, ANPDB, Metabolomics Workbench, PharmGKB, Reactome, mVOC and STOFF. Featured in the 'MetaboShiny' package (Wolthuis, J. (2019) <doi:10.1007/s11306-020-01717-8>).
Author: Joanna Wolthuis
Maintainer: Joanna Wolthuis <jcwolthuis93@gmail.com>

Diff between MetaDBparse versions 1.0.0 dated 2020-09-09 and 2.0.0 dated 2021-05-03

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Package errorlocate updated to version 0.9.9 with previous version 0.9.8 dated 2021-02-01

Title: Locate Errors with Validation Rules
Description: Errors in data can be located and removed using validation rules from package 'validate'.
Author: Edwin de Jonge [aut, cre] (<https://orcid.org/0000-0002-6580-4718>), Mark van der Loo [aut]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

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Package dm updated to version 0.2.0 with previous version 0.1.13 dated 2021-04-25

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], energie360° AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package likelihoodR updated to version 1.0.4 with previous version 1.0.3 dated 2021-02-11

Title: Likelihood Analyses for Common Statistical Tests
Description: A collection of functions that calculate the log likelihood (support) for a range of statistical tests. Where possible the likelihood function and likelihood interval for the observed data are displayed. The evidential approach used here is based on the book "Likelihood" by A.W.F. Edwards (1992, ISBN-13 : 978-0801844430), "Statistical Evidence" by R. Royall (1997, ISBN-13 : 978-0412044113), S.N. Goodman & R. Royall (2011) <doi:10.2105/AJPH.78.12.1568>, "Understanding Psychology as a Science" by Z. Dienes (2008, ISBN-13 : 978-0230542310), S. Glover & P. Dixon <https://link.springer.com/article/10.3758/BF03196706> and others. This package accompanies "Evidence-Based Statistics" by P. Cahusac (2020, ISBN-13 : 978-1119549802).
Author: Peter Cahusac [aut, cre] (<https://orcid.org/0000-0003-4976-2834>)
Maintainer: Peter Cahusac <peteqsac@gmail.com>

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Package OAIHarvester updated to version 0.3-2 with previous version 0.3-1 dated 2020-12-03

Title: Harvest Metadata Using OAI-PMH Version 2.0
Description: Harvest metadata using the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) version 2.0 (for more information, see <http://www.openarchives.org/OAI/openarchivesprotocol.html>).
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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New package tidygate with initial version 0.4.7
Package: tidygate
Title: Add Gate Information to Your Tibble
Version: 0.4.7
Authors@R: c(person(given = "Stefano", family = "Mangiola", role = c("aut", "cre"), email = "mangiolastefano@gmail.com"), person(given = "Wajid", family = "Jawaid", role = "ctb"))
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>
Description: It interactively or programmatically label points within custom gates on two dimensions <https://github.com/stemangiola/tidygate>. The information is added to your tibble. It is based on the package 'gatepoints' from Wajid Jawaid (who is also author of this package). The code of 'gatepoints' was nto integrated in 'tidygate'. The benefits are (i) in interactive mode you can draw your gates on extensive 'ggplot'-like scatter plots; (ii) you can draw multiple gates; and (iii) you can save your gates and apply the programmatically.
License: GPL-3
Depends: R (>= 3.6.0)
Encoding: UTF-8
LazyData: true
Imports: utils, graphics, lifecycle, scales, magrittr, tibble, dplyr, purrr, rlang, tidyr, viridis, grDevices, RColorBrewer, stringr
RdMacros: lifecycle
Suggests: testthat, markdown, knitr
VignetteBuilder: knitr
Biarch: true
biocViews: AssayDomain, Infrastructure
URL: https://github.com/stemangiola/tidygate
BugReports: https://github.com/stemangiola/tidygate/issues
NeedsCompilation: no
Packaged: 2021-05-03 01:37:11 UTC; mangiola.s
Author: Stefano Mangiola [aut, cre], Wajid Jawaid [ctb]
Repository: CRAN
Date/Publication: 2021-05-03 09:10:02 UTC

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Package spatial updated to version 7.3-14 with previous version 7.3-13 dated 2021-01-24

Title: Functions for Kriging and Point Pattern Analysis
Description: Functions for kriging and point pattern analysis.
Author: Brian Ripley [aut, cre, cph], Roger Bivand [ctb], William Venables [cph]
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

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Package SoilTaxonomy updated to version 0.1.3 with previous version 0.1.2 dated 2021-04-30

Title: A System of Soil Classification for Making and Interpreting Soil Surveys
Description: Taxonomic dictionaries, formative element lists, and functions related to the maintenance, development and application of U.S. Soil Taxonomy. Data and functionality are based on official U.S. Department of Agriculture sources including the latest edition of the Keys to Soil Taxonomy. Descriptions and metadata are obtained from the National Soil Information System or Soil Survey Geographic databases. Other sources are referenced in the data documentation. Provides tools for understanding and interacting with concepts in the U.S. Soil Taxonomic System. Most of the current utilities are for working with taxonomic concepts at the "higher" taxonomic levels: Order, Suborder, Great Group, and Subgroup.
Author: Dylan Beaudette [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

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Package nnet updated to version 7.3-16 with previous version 7.3-15 dated 2021-01-24

Title: Feed-Forward Neural Networks and Multinomial Log-Linear Models
Description: Software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.
Author: Brian Ripley [aut, cre, cph], William Venables [cph]
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

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Package MASS updated to version 7.3-54 with previous version 7.3-53.1 dated 2021-02-12

Title: Support Functions and Datasets for Venables and Ripley's MASS
Description: Functions and datasets to support Venables and Ripley, "Modern Applied Statistics with S" (4th edition, 2002).
Author: Brian Ripley [aut, cre, cph], Bill Venables [ctb], Douglas M. Bates [ctb], Kurt Hornik [trl] (partial port ca 1998), Albrecht Gebhardt [trl] (partial port ca 1998), David Firth [ctb]
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

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Package groundhog updated to version 1.4.0 with previous version 1.3.2 dated 2021-03-12

Title: The Simplest Solution to Version-Control for CRAN Packages
Description: Make R scripts that rely on packages reproducible, by ensuring that every time a given script is run, the same version of the used packages are loaded (instead of whichever version the user running the script happens to have installed). This is achieved by using the new command groundhog.library() instead of the base command library(), and including a date in the call. The date is used to call on the same version of the package every time (the most recent version available on CRAN at that date).
Author: Uri Simonsohn [aut, cre] (<https://orcid.org/0000-0002-8601-7211>), Hugo Gruson [ctb, aut] (<https://orcid.org/0000-0002-4094-1476>)
Maintainer: Uri Simonsohn <urisohn@gmail.com>

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Package class updated to version 7.3-19 with previous version 7.3-18 dated 2021-01-24

Title: Functions for Classification
Description: Various functions for classification, including k-nearest neighbour, Learning Vector Quantization and Self-Organizing Maps.
Author: Brian Ripley [aut, cre, cph], William Venables [cph]
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

Diff between class versions 7.3-18 dated 2021-01-24 and 7.3-19 dated 2021-05-03

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More information about class at CRAN
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Package boot updated to version 1.3-28 with previous version 1.3-27 dated 2021-02-12

Title: Bootstrap Functions (Originally by Angelo Canty for S)
Description: Functions and datasets for bootstrapping from the book "Bootstrap Methods and Their Application" by A. C. Davison and D. V. Hinkley (1997, CUP), originally written by Angelo Canty for S.
Author: Angelo Canty [aut], Brian Ripley [aut, trl, cre] (author of parallel support)
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

Diff between boot versions 1.3-27 dated 2021-02-12 and 1.3-28 dated 2021-05-03

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More information about boot at CRAN
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Package BGVAR updated to version 2.2.0 with previous version 2.1.5 dated 2020-11-15

Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available.
Author: Maximilian Boeck [aut, cre] (<https://orcid.org/0000-0001-6024-8305>), Martin Feldkircher [aut] (<https://orcid.org/0000-0002-5511-9215>), Florian Huber [aut] (<https://orcid.org/0000-0002-2896-7921>)
Maintainer: Maximilian Boeck <maximilian.boeck@wu.ac.at>

Diff between BGVAR versions 2.1.5 dated 2020-11-15 and 2.2.0 dated 2021-05-03

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New package gsignal with initial version 0.3-1
Package: gsignal
Title: Signal Processing
Version: 0.3-1
Date: 2021-05-02
Authors@R: c(person("Geert", "van Boxtel", role = c("aut", "cre"), email = "G.J.M.vanBoxtel@gmail.com", comment = "Maintainer"), person("Tom", "Short", role = "aut", email = "tshort@eprisolutions.com", comment="Author of 'signal' package"), person("Paul", "Kienzle", role = "aut", comment = "Majority of the original sources"), person("Ben", "Abbott", role = "ctb"), person("Juan", "Aguado", role = "ctb"), person("Muthiah", "Annamalai", role = "ctb"), person("Leonardo", "Araujo", role = "ctb"), person("William", "Asquith", role = "ctb"), person("David", "Bateman", role = "ctb"), person("David", "Billinghurst", role = "ctb"), person("Juan Pablo", "Carbajal", role = "ctb"), person("André", "Carezia", role = "ctb"), person("Vincent", "Cautaerts", role = "ctb"), person("Eric", "Chassande-Mottin", role = "ctb"), person("Luca", "Citi", role = "ctb"), person("Dave", "Cogdell", role = "ctb"), person("Carlo", "de Falco", role = "ctb"), person("Carne", "Draug", role = "ctb"), person("Pascal", "Dupuis", role = "ctb"), person("John W.", "Eaton", role = "ctb"), person("R.G.H", "Eschauzier", role = "ctb"), person("Andrew", "Fitting", role = "ctb"), person("Alan J.", "Greenberger", role = "ctb"), person("Mike", "Gross", role = "ctb"), person("Daniel", "Gunyan", role = "ctb"), person("Kai", "Habel", role = "ctb"), person("Kurt", "Hornik", role = "ctb"), person("Jake", "Janovetz", role = "ctb"), person("Alexander", "Klein", role = "ctb"), person("Peter V.", "Lanspeary", role = "ctb"), person("Bill", "Lash", role = "ctb"), person("Friedrich", "Leissh", role = "ctb"), person("Laurent S.", "Mazet", role = "ctb"), person("Mike", "Miller", role = "ctb"), person("Petr", "Mikulik", role = "ctb"), person("Paolo", "Neis", role = "ctb"), person("Georgios", "Ouzounis", role = "ctb"), person("Sylvain", "Pelissier", role = "ctb"), person("Francesco", "Potortì", role = "ctb"), person("Charles", "Praplan", role = "ctb"), person("Lukas F.", "Reichlin", role = "ctb"), person("Tony", "Richardson", role = "ctb"), person("Asbjorn", "Sabo", role = "ctb"), person("Thomas", "Sailer", role = "ctb"), person("Rolf", "Schirmacher", role = "ctb"), person("Rolf", "Schirmacher", role = "ctb"), person("Ivan", "Selesnick", role = "ctb"), person("Julius O.", "Smith III", role = "ctb"), person("Peter L.", "Soendergaard", role = "ctb"), person("Quentin", "Spencer", role = "ctb"), person("Doug", "Stewart", role = "ctb"), person("P.", "Sudeepam", role = "ctb"), person("Stefan", "van der Walt", role = "ctb"), person("Andreas", "Weber", role = "ctb"), person("P.", "Sudeepam", role = "ctb"), person("Andreas", "Weingessel", role = "ctb"))
Description: R implementation of the 'Octave' package 'signal', containing a variety of signal processing tools, such as signal generation and measurement, correlation and convolution, filtering, filter design, filter analysis and conversion, power spectrum analysis, system identification, decimation and sample rate change, and windowing.
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Imports: pracma, Rcpp, grDevices
License: GPL-3
Encoding: UTF-8
Language: en-US
URL: https://github.com/gjmvanboxtel/gsignal
BugReports: https://github.com/gjmvanboxtel/gsignal/issues
LazyData: true
Suggests: knitr, rmarkdown, testthat, ggplot2, gridExtra, microbenchmark, imager
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-05-02 22:12:07 UTC; geert
Author: Geert van Boxtel [aut, cre] (Maintainer), Tom Short [aut] (Author of 'signal' package), Paul Kienzle [aut] (Majority of the original sources), Ben Abbott [ctb], Juan Aguado [ctb], Muthiah Annamalai [ctb], Leonardo Araujo [ctb], William Asquith [ctb], David Bateman [ctb], David Billinghurst [ctb], Juan Pablo Carbajal [ctb], André Carezia [ctb], Vincent Cautaerts [ctb], Eric Chassande-Mottin [ctb], Luca Citi [ctb], Dave Cogdell [ctb], Carlo de Falco [ctb], Carne Draug [ctb], Pascal Dupuis [ctb], John W. Eaton [ctb], R.G.H Eschauzier [ctb], Andrew Fitting [ctb], Alan J. Greenberger [ctb], Mike Gross [ctb], Daniel Gunyan [ctb], Kai Habel [ctb], Kurt Hornik [ctb], Jake Janovetz [ctb], Alexander Klein [ctb], Peter V. Lanspeary [ctb], Bill Lash [ctb], Friedrich Leissh [ctb], Laurent S. Mazet [ctb], Mike Miller [ctb], Petr Mikulik [ctb], Paolo Neis [ctb], Georgios Ouzounis [ctb], Sylvain Pelissier [ctb], Francesco Potortì [ctb], Charles Praplan [ctb], Lukas F. Reichlin [ctb], Tony Richardson [ctb], Asbjorn Sabo [ctb], Thomas Sailer [ctb], Rolf Schirmacher [ctb], Rolf Schirmacher [ctb], Ivan Selesnick [ctb], Julius O. Smith III [ctb], Peter L. Soendergaard [ctb], Quentin Spencer [ctb], Doug Stewart [ctb], P. Sudeepam [ctb], Stefan van der Walt [ctb], Andreas Weber [ctb], P. Sudeepam [ctb], Andreas Weingessel [ctb]
Maintainer: Geert van Boxtel <G.J.M.vanBoxtel@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-03 08:10:02 UTC

More information about gsignal at CRAN
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Package bfast updated to version 1.6.0 with previous version 1.5.7 dated 2014-08-27

Title: Breaks for Additive Season and Trend
Description: Decomposition of time series into trend, seasonal, and remainder components with methods for detecting and characterizing abrupt changes within the trend and seasonal components. 'BFAST' can be used to analyze different types of satellite image time series and can be applied to other disciplines dealing with seasonal or non-seasonal time series, such as hydrology, climatology, and econometrics. The algorithm can be extended to label detected changes with information on the parameters of the fitted piecewise linear models. 'BFAST' monitoring functionality is described in Verbesselt et al. (2010) <doi:10.1016/j.rse.2009.08.014>. 'BFAST monitor' provides functionality to detect disturbance in near real-time based on 'BFAST'- type models, and is described in Verbesselt et al. (2012) <doi:10.1016/j.rse.2012.02.022>. 'BFAST Lite' approach is a flexible approach that handles missing data without interpolation, and will be described in an upcoming paper. Furthermore, different models can now be used to fit the time series data and detect structural changes (breaks).
Author: Jan Verbesselt [aut], Dainius Masiliunas [aut, cre] (<https://orcid.org/0000-0001-5654-1277>), Achim Zeileis [aut], Rob Hyndman [ctb], Marius Appel [ctb], Martin Jung [ctb], Andrei Mirt [ctb] (<https://orcid.org/0000-0003-3654-2090>), Paulo Negri Bernardino [ctb]
Maintainer: Dainius Masiliunas <pastas4@gmail.com>

Diff between bfast versions 1.5.7 dated 2014-08-27 and 1.6.0 dated 2021-05-03

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More information about bfast at CRAN
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New package TrtCombo.FactorialExp.SR with initial version 4.0.4
Package: TrtCombo.FactorialExp.SR
Title: Generation of Treatment Combination (in Standard Order) in 2^n Factorial Experiment
Version: 4.0.4
Author: Somjit Roy
Maintainer: Somjit Roy <somjit.roy2001@gmail.com>
Description: Gives the required 2^n treatment combinations in a 2^n symmetric factorial experiment in their respective standard order.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-01 08:56:40 UTC; somji
Repository: CRAN
Date/Publication: 2021-05-03 07:20:05 UTC

More information about TrtCombo.FactorialExp.SR at CRAN
Permanent link

New package simpleMH with initial version 0.1.0
Package: simpleMH
Title: Simple Metropolis-Hastings MCMC Algorithm
Version: 0.1.0
Authors@R: person(given = "Hugo", family = "Gruson", role = c("aut", "cre", "cph"), email = "hugo.gruson+R@normalesup.org", comment = c(ORCID = "0000-0002-4094-1476"))
Description: A very bare-bones interface to use the Metropolis-Hastings Monte Carlo Markov Chain algorithm. It is suitable for teaching and testing purposes.
Imports: mvtnorm
Suggests: coda, mockery, testthat (>= 3.0.0), knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-02 14:28:51 UTC; hugo
Author: Hugo Gruson [aut, cre, cph] (<https://orcid.org/0000-0002-4094-1476>)
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>
Repository: CRAN
Date/Publication: 2021-05-03 08:00:02 UTC

More information about simpleMH at CRAN
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New package SFSI with initial version 0.3.0
Package: SFSI
Title: Sparse Family and Selection Index
Version: 0.3.0
Authors@R: c( person("Marco", "Lopez-Cruz", role = c("aut","cre"), email = "maraloc@gmail.com"), person("Gustavo", "de los Campos", role = c("aut"), email = "gustavoc@msu.edu"), person("Paulino", "Perez-Rodriguez", role = c("ctb"), email = "perpdgo@gmail.com"))
Date: 2021-04-29
Description: Here we provide tools for the estimation of coefficients in penalized regressions when the (co)variance matrix of predictors and the covariance vector between predictors and response, are provided. These methods are extended to the context of a Selection Index (commonly used for breeding value prediction). The approaches offer opportunities such as the integration of high-throughput traits in genetic evaluations ('Lopez-Cruz et al., 2020') <doi:10.1038/s41598-020-65011-2> and solutions for training set optimization in Genomic Prediction ('Lopez-Cruz & de los Campos, 2021') <doi:10.1093/genetics/iyab030>.
LazyLoad: true
Depends: R (>= 3.5)
Imports: stats, grDevices
Suggests: BGLR, float, knitr, rmarkdown, ggplot2, Matrix, parallel, reshape, viridis, RSpectra
LinkingTo: float
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL-3
NeedsCompilation: yes
Packaged: 2021-05-01 01:58:43 UTC; marcolopez
Author: Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [ctb]
Maintainer: Marco Lopez-Cruz <maraloc@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-03 07:50:03 UTC

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New package scINSIGHT with initial version 0.1.0
Package: scINSIGHT
Title: Interpretation of Heterogeneous Single-Cell Gene Expression Data
Version: 0.1.0
Date: 2021-05-01
Authors@R: c(person(given = "Kun", family = "Qian", role = c("aut","ctb","cre"), email = "Kun_Qian@foxmail.com", comment = c(ORCID = "0000-0002-2354-2238")), person(given = "Wei Vivian", family = "Li", role = c("aut","ctb"), email = "vivian.li@rutgers.edu", comment = c(ORCID = "0000-0002-2087-2709")))
Maintainer: Kun Qian <Kun_Qian@foxmail.com>
Description: We develop a novel matrix factorization tool named 'scINSIGHT' to jointly analyze multiple single-cell gene expression samples from biologically heterogeneous sources, such as different disease phases, treatment groups, or developmental stages. Given multiple gene expression samples from different biological conditions, 'scINSIGHT' simultaneously identifies common and condition-specific gene pathways and quantify their expression levels in each sample in a lower-dimensional space. With the factorized results, the inferred expression levels and memberships of common gene pathways can be used to cluster cells and detect cell identities, and the condition-specific gene pathways can help compare functional differences in transcriptomes from distinct conditions.
License: GPL-3
Imports: Rcpp, RANN, igraph, parallel, stats, stringr
LinkingTo: Rcpp, RcppArmadillo
Depends: methods
NeedsCompilation: yes
Packaged: 2021-05-01 05:34:57 UTC; yangyulan
Author: Kun Qian [aut, ctb, cre] (<https://orcid.org/0000-0002-2354-2238>), Wei Vivian Li [aut, ctb] (<https://orcid.org/0000-0002-2087-2709>)
Repository: CRAN
Date/Publication: 2021-05-03 08:00:05 UTC

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New package re2 with initial version 0.1.0
Package: re2
Title: R Interface to Google RE2 (C++) Regular Expression Library
Version: 0.1.0
Date: 2021-04-30
Author: Girish Palya [aut, cre], RE2 developers [ctb] (RE2 library), Google Inc. [ctb, cph] (RE2 library)
Maintainer: Girish Palya <girishji@gmail.com>
Description: Pattern matching, extraction, replacement and other string processing operations using Google's RE2 <https://github.com/google/re2> regular-expression engine. Consistent interface (similar to 'stringr'). RE2 uses finite-automata based techniques, and offers a fast and safe alternative to backtracking regular-expression engines like those used in 'stringr', 'stringi' and other PCRE implementations.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.6)
LinkingTo: Rcpp
URL: https://github.com/girishji/re2
BugReports: https://github.com/girishji/re2/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-05-02 13:47:56 UTC; gp
Repository: CRAN
Date/Publication: 2021-05-03 08:00:08 UTC

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Package NCA updated to version 3.1.1 with previous version 3.1.0 dated 2021-03-02

Title: Necessary Condition Analysis
Description: Performs a Necessary Condition Analysis (NCA). (Dul, J. 2016. Necessary Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not Sufficient' causality." Organizational Research Methods 19(1), 10-52, <https://journals.sagepub.com/doi/full/10.1177/1094428115584005>). NCA identifies necessary (but not sufficient) conditions in datasets, where x causes (e.g. precedes) y. Instead of drawing a regression line ''through the middle of the data'' in an xy-plot, NCA draws the ceiling line. The ceiling line y = f(x) separates the area with observations from the area without observations. (Nearly) all observations are below the ceiling line: y <= f(x). The empty zone is in the upper left hand corner of the xy-plot (with the convention that the x-axis is ''horizontal'' and the y-axis is ''vertical'' and that values increase ''upwards'' and ''to the right''). The ceiling line is a (piecewise) linear non-decreasing line: a linear step function or a straight line. It indicates which level of x (e.g. an effort or input) is necessary but not sufficient for a (desired) level of y (e.g. good performance or output). A quick start guide for using this package can be found here: <https://repub.eur.nl/pub/78323/> or <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2624981>.
Author: Jan Dul <jdul@rsm.nl>
Maintainer: Govert Buijs <buijs@rsm.nl>

Diff between NCA versions 3.1.0 dated 2021-03-02 and 3.1.1 dated 2021-05-03

 DESCRIPTION        |    8 ++++----
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New package onbabynames with initial version 0.0.1
Package: onbabynames
Title: Names Given to Babies in Ontario Between 1917 and 2018
Version: 0.0.1
Language: en-US
Authors@R: person(given = "Marc-Andre", family = "Desautels", role = c("aut", "cre"), email = "marc-andre.desautels@cstjean.qc.ca")
Description: A database containing the names of the babies born in Ontario between 1917 and 2018. Counts of fewer than 5 names were suppressed for privacy.
License: MIT + file LICENSE
URL: <https://github.com/desautm/onbabynames>
BugReports: https://github.com/desautm/onbabynames/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: tibble
Suggests: dplyr, ggplot2
NeedsCompilation: no
Packaged: 2021-04-30 13:30:42 UTC; mdesautels
Author: Marc-Andre Desautels [aut, cre]
Maintainer: Marc-Andre Desautels <marc-andre.desautels@cstjean.qc.ca>
Repository: CRAN
Date/Publication: 2021-05-03 07:10:02 UTC

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New package latexdiffr with initial version 0.1.0
Package: latexdiffr
Title: Diff 'rmarkdown' Files Using the 'latexdiff' Utility
Version: 0.1.0
Author: David Hugh-Jones <davidhughjones@gmail.com>
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>
Description: Produces a PDF diff of two 'rmarkdown', Sweave or TeX files, using the external 'latexdiff' utility.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: fs, rprojroot
Suggests: tinytex, rmarkdown, knitr, testthat, covr
SystemRequirements: latexdiff
NeedsCompilation: no
Packaged: 2021-04-30 13:39:01 UTC; david
Repository: CRAN
Date/Publication: 2021-05-03 07:10:05 UTC

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New package JCRImpactFactor with initial version 1.0.0
Package: JCRImpactFactor
Title: Journal Citation Reports ('JCR') Impact Factor by 'Clarivate' 'Analytics'
Version: 1.0.0
Author: Shahla Faisal
Maintainer: Shahla Faisal <shahla_ramzan@yahoo.com>
Description: The Impact Factor of a journal reported by Journal Citation Reports ('JCR') of 'Clarivate' 'Analytics' is provided. The impact factor is available for those journals only that were included Journal Citation Reports 'JCR'.
License: GPL-3
Encoding: UTF-8
Imports: stringr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2021-05-02 11:36:20 UTC; ShahlaFaisal
Repository: CRAN
Date/Publication: 2021-05-03 07:50:09 UTC

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New package ecpc with initial version 2.0
Package: ecpc
Title: Flexible Co-Data Learning for High-Dimensional Prediction
Version: 2.0
Date: 2021-04-19
Authors@R: c(person(c("Mirrelijn","M."), "van Nee", role = c("aut", "cre"), email = "m.vannee@amsterdamumc.nl"), person(c("Lodewyk","F.A."), "Wessels", role = "aut"), person(c("Mark","A."), "van de Wiel", role = "aut"))
Author: Mirrelijn M. van Nee [aut, cre], Lodewyk F.A. Wessels [aut], Mark A. van de Wiel [aut]
Maintainer: Mirrelijn M. van Nee <m.vannee@amsterdamumc.nl>
Depends: R (>= 3.5.0)
Imports: glmnet, stats, Matrix, gglasso, mvtnorm, CVXR, multiridge (>= 1.5), survival, pROC
Suggests: Rsolnp, expm, mgcv, foreach, doParallel, parallel, ggplot2, ggraph, igraph, scales, dplyr, magrittr
Description: Fit linear, logistic and Cox survival regression models penalised with adaptive multi-group ridge penalties. The multi-group penalties correspond to groups of covariates defined by (multiple) co-data sources. Group hyperparameters are estimated with an empirical Bayes method of moments, penalised with an extra level of hyper shrinkage. Various types of hyper shrinkage may be used for various co-data. The method accommodates inclusion of unpenalised covariates, posterior selection of covariates and multiple data types. The model fit is used to predict for new samples. The name 'ecpc' stands for Empirical Bayes, Co-data learnt, Prediction and Covariate selection. See Van Nee et al. (2020) <arXiv:2005.04010>.
License: GPL (>= 3)
URL: https://arxiv.org/abs/2005.04010
NeedsCompilation: no
Packaged: 2021-04-30 15:27:48 UTC; VNOB-0728
Repository: CRAN
Date/Publication: 2021-05-03 07:20:02 UTC

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New package cry with initial version 0.4.1
Package: cry
Title: Statistics for Structural Crystallography
Version: 0.4.1
Date: 2021-05-01
Authors@R: c( person("James","Foadi",email="james_foadi@yahoo.co.uk",role=c("cre","aut")), person("David","Waterman",email="david.waterman@stfc.ac.uk",role="aut"), person("Rita","Giordano",email="rgiordano@gmx.com",role="aut"), person("Kutumbarao","Nidamarthi",email="kuttu.nani@gmail.com",role="aut"))
Description: Reading and writing of files in the most commonly used formats of structural crystallography. It includes functions to work with a variety of statistics used in this field and functions to perform basic crystallographic computing. References: D. G. Waterman, J. Foadi, G. Evans (2011) <doi:10.1107/S0108767311084303>.
License: GPL-2
LazyLoad: yes
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: methods, zoo
Suggests: knitr, rmarkdown, markdown, ggplot2
NeedsCompilation: no
Packaged: 2021-05-02 09:26:55 UTC; james
Author: James Foadi [cre, aut], David Waterman [aut], Rita Giordano [aut], Kutumbarao Nidamarthi [aut]
Maintainer: James Foadi <james_foadi@yahoo.co.uk>
Repository: CRAN
Date/Publication: 2021-05-03 07:30:02 UTC

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Package synthesis updated to version 1.2.2 with previous version 1.2.1 dated 2021-04-02

Title: Generate Synthetic Data from Statistical Models
Description: Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems. Applications to testing methods can be found in Jiang, Z., Sharma, A., & Johnson, F. (2019) <doi:10.1016/j.advwatres.2019.103430> and Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962> associated with an open-source tool by Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>.
Author: Ze Jiang [aut, cre] (<https://orcid.org/0000-0002-3472-0829>)
Maintainer: Ze Jiang <ze.jiang@unsw.edu.au>

Diff between synthesis versions 1.2.1 dated 2021-04-02 and 1.2.2 dated 2021-05-03

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Package msaeRB updated to version 0.1.5 with previous version 0.1.4 dated 2021-03-30

Title: Ratio Benchmarking for Multivariate Small Area Estimation
Description: Implements multivariate ratio benchmarking small area estimation. This package provides ratio benchmarking estimation for univariate and multivariate small area estimation and its MSE. In fact, MSE estimators for ratio benchmark are not readily available, so resampling method that called parametric bootstrap is applied. The ratio benchmark model and parametric bootstrap in this package are based on the model proposed in small area estimation. J.N.K Rao and Isabel Molina (2015, ISBN: 978-1-118-73578-7).
Author: Zenda Oka Briantiko [aut, cre], Azka Ubaidillah [aut]
Maintainer: Zenda Oka Briantiko <221710087@stis.ac.id>

Diff between msaeRB versions 0.1.4 dated 2021-03-30 and 0.1.5 dated 2021-05-03

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Package dawai updated to version 1.2.5 with previous version 1.2.3 dated 2018-01-16

Title: Discriminant Analysis with Additional Information
Description: In applications it is usual that some additional information is available. This package dawai (an acronym for Discriminant Analysis With Additional Information) performs linear and quadratic discriminant analysis with additional information expressed as inequality restrictions among the populations means. It also computes several estimations of the true error rate.
Author: David Conde, Miguel A. Fernandez, Bonifacio Salvador
Maintainer: David Conde <dconde@eio.uva.es>

Diff between dawai versions 1.2.3 dated 2018-01-16 and 1.2.5 dated 2021-05-03

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Package raster updated to version 3.4-10 with previous version 3.4-5 dated 2020-11-14

Title: Geographic Data Analysis and Modeling
Description: Reading, writing, manipulating, analyzing and modeling of spatial data. The package implements basic and high-level functions for raster data and for vector data operations such as intersections. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>), Jacob van Etten [ctb], Michael Sumner [ctb], Joe Cheng [ctb], Dan Baston [ctb], Andrew Bevan [ctb], Roger Bivand [ctb], Lorenzo Busetto [ctb], Mort Canty [ctb], Ben Fasoli [ctb], David Forrest [ctb], Aniruddha Ghosh [ctb], Duncan Golicher [ctb], Josh Gray [ctb], Jonathan A. Greenberg [ctb], Paul Hiemstra [ctb], Kassel Hingee [ctb], Institute for Mathematics Applied Geosciences [cph], Charles Karney [ctb], Matteo Mattiuzzi [ctb], Steven Mosher [ctb], Babak Naimi [ctb], Jakub Nowosad [ctb], Edzer Pebesma [ctb], Oscar Perpinan Lamigueiro [ctb], Etienne B. Racine [ctb], Barry Rowlingson [ctb], Ashton Shortridge [ctb], Bill Venables [ctb], Rafael Wueest [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between raster versions 3.4-5 dated 2020-11-14 and 3.4-10 dated 2021-05-03

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Package ptspotter updated to version 1.0.1 with previous version 1.0 dated 2021-04-21

Title: Helper Functions for Use with "ProjectTemplate"
Description: Utility functions produced specifically for (but not limited to) working with 'ProjectTemplate' data pipelines. This package helps to quickly create and manage sequentially numbered scripts, quickly set up logging with 'log4r' and functions to help debug and monitor procedures.
Author: Rich Leyshon [aut, cph, cre], Andrew Simmons [ctb]
Maintainer: Rich Leyshon <leyshonrr@hotmail.co.uk>

Diff between ptspotter versions 1.0 dated 2021-04-21 and 1.0.1 dated 2021-05-03

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Package dialrjars updated to version 8.12.22 with previous version 8.12.20 dated 2021-03-28

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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Package bigalgebra (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:

2021-04-18 1.0.0

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Package rsvg updated to version 2.1.2 with previous version 2.1.1 dated 2021-04-21

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

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Package reticulate updated to version 1.20 with previous version 1.19 dated 2021-04-21

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between reticulate versions 1.19 dated 2021-04-21 and 1.20 dated 2021-05-03

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Package RcppParallel updated to version 5.1.3 with previous version 5.1.2 dated 2021-04-15

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, https://tinythreadpp.bitsnbites.eu/), Hamada S. Badr [ctb] (<https://orcid.org/0000-0002-9808-2344>), RStudio [cph], Intel [aut, cph] (Intel TBB library, https://www.threadingbuildingblocks.org/), Microsoft [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between RcppParallel versions 5.1.2 dated 2021-04-15 and 5.1.3 dated 2021-05-03

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Package pixarfilms updated to version 0.2.0 with previous version 0.0.1 dated 2021-03-12

Title: Pixar Films and Achievements
Description: Data about Disney Pixar films provided by Wikipedia. This package contains data about the films, the people involved, and their awards.
Author: Eric Leung [aut, cre] (<https://orcid.org/0000-0002-8724-1872>)
Maintainer: Eric Leung <erictleung@outlook.com>

Diff between pixarfilms versions 0.0.1 dated 2021-03-12 and 0.2.0 dated 2021-05-03

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Package IDmining updated to version 1.0.7 with previous version 1.0.6 dated 2019-05-25

Title: Intrinsic Dimension for Data Mining
Description: Contains techniques for mining large and high-dimensional data sets by using the concept of Intrinsic Dimension (ID). Here the ID is not necessarily an integer. It is extended to fractal dimensions. And the Morisita estimator is used for the ID estimation, but other tools are included as well.
Author: Jean Golay [aut, cre], Mohamed Laib [aut]
Maintainer: Jean Golay <jeangolay@gmail.com>

Diff between IDmining versions 1.0.6 dated 2019-05-25 and 1.0.7 dated 2021-05-03

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Package BDgraph updated to version 2.64 with previous version 2.63 dated 2020-08-26

Title: Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
Description: Statistical tools for Bayesian structure learning in undirected graphical models for continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Mohammadi and Wit (2019) <doi:10.18637/jss.v089.i03>.
Author: Reza Mohammadi [aut, cre] (<https://orcid.org/0000-0001-9538-0648>), Ernst Wit [aut] (<https://orcid.org/0000-0002-3671-9610>), Adrian Dobra [ctb] (<https://orcid.org/0000-0001-7793-2197>)
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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