Wed, 25 Jan 2023

Package enmSdmX updated to version 1.0.1 with previous version 1.0.0 dated 2022-12-12

Title: Species Distribution Modeling and Ecological Niche Modeling
Description: Implements species distribution modeling and ecological niche modeling, including: bias correction, spatial cross-validation, model evaluation, raster interpolation, biotic "velocity" (speed and direction of movement of a "mass" represented by a raster), interpolating across a time series of rasters, and use of spatially imprecise records. The heart of the package is a set of "training" functions which automatically optimize model complexity based number of available occurrences. These algorithms include MaxEnt, MaxNet, boosted regression trees/gradient boosting machines, generalized additive models, generalized linear models, natural splines, and random forests. To enhance interoperability with other modeling packages, no new classes are created. The package works with 'PROJ6' geodetic objects and coordinate reference systems.
Author: Adam B. Smith [cre, aut]
Maintainer: Adam B. Smith <adam.smith@mobot.org>

Diff between enmSdmX versions 1.0.0 dated 2022-12-12 and 1.0.1 dated 2023-01-25

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Package AzureKusto updated to version 1.1.1 with previous version 1.1.0 dated 2022-12-21

Title: Interface to 'Kusto'/'Azure Data Explorer'
Description: An interface to 'Azure Data Explorer', also known as 'Kusto', a fast, highly scalable data exploration service from Microsoft: <https://azure.microsoft.com/en-us/products/data-explorer/>. Includes 'DBI' and 'dplyr' interfaces, with the latter modelled after the 'dbplyr' package, whereby queries are translated from R into the native 'KQL' query language and executed lazily. On the admin side, the package extends the object framework provided by 'AzureRMR' to support creation and deletion of databases, and management of database principals. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut], Alex Kyllo [aut, cre], dbplyr development team [cph] , Microsoft [cph]
Maintainer: Alex Kyllo <jekyllo@microsoft.com>

Diff between AzureKusto versions 1.1.0 dated 2022-12-21 and 1.1.1 dated 2023-01-25

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Package rmatio updated to version 0.17.0 with previous version 0.16.0 dated 2021-10-27

Title: Read and Write 'Matlab' Files
Description: Read and write 'Matlab' MAT files from R. The 'rmatio' package supports reading MAT version 4, MAT version 5 and MAT compressed version 5. The 'rmatio' package can write version 5 MAT files and version 5 files with variable compression.
Author: Stefan Widgren [aut, cre] , Christopher Hulbert [aut]
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

Diff between rmatio versions 0.16.0 dated 2021-10-27 and 0.17.0 dated 2023-01-25

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Package hmcdm updated to version 2.1.0 with previous version 2.0.0 dated 2022-08-29

Title: Hidden Markov Cognitive Diagnosis Models for Learning
Description: Fitting hidden Markov models of learning under the cognitive diagnosis framework. The estimation of the hidden Markov diagnostic classification model, the first order hidden Markov model, the reduced-reparameterized unified learning model, and the joint learning model for responses and response times. Chen, Y., Culpepper, S. A., Wang, S., & Douglas, J. (2018) <doi:10.1177/0146621617721250>. Wang, S., Yang, Y., Culpepper, S. A., & Douglas, J. A. (2018) <doi:10.3102/1076998617719727>. Wang, S., Zhang, S., Douglas, J., & Culpepper, S. (2018) <doi:10.1080/15366367.2018.1435105>. Zhang, S., Douglas, J. A., Wang, S. & Culpepper, S. A. (2019) <doi:10.1007/978-3-030-05584-4_24>.
Author: Susu Zhang [aut], Shiyu Wang [aut], Yinghan Chen [aut], Sunbeom Kwon [aut, cre]
Maintainer: Sunbeom Kwon <sunbeom2@illinois.edu>

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Package qqplotr updated to version 0.0.6 with previous version 0.0.5 dated 2021-04-23

Title: Quantile-Quantile Plot Extensions for 'ggplot2'
Description: Extensions of 'ggplot2' Q-Q plot functionalities.
Author: Alexandre Almeida [aut], Adam Loy [aut, cre], Heike Hofmann [aut]
Maintainer: Adam Loy <loyad01@gmail.com>

Diff between qqplotr versions 0.0.5 dated 2021-04-23 and 0.0.6 dated 2023-01-25

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Package fontawesome updated to version 0.5.0 with previous version 0.4.0 dated 2022-10-25

Title: Easily Work with 'Font Awesome' Icons
Description: Easily and flexibly insert 'Font Awesome' icons into 'R Markdown' documents and 'Shiny' apps. These icons can be inserted into HTML content through inline 'SVG' tags or 'i' tags. There is also a utility function for exporting 'Font Awesome' icons as 'PNG' images for those situations where raster graphics are needed.
Author: Richard Iannone [aut, cre] , Christophe Dervieux [ctb] , Winston Chang [ctb], Dave Gandy [ctb, cph] , Posit Software, PBC [cph, fnd]
Maintainer: Richard Iannone <rich@rstudio.com>

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Package ff updated to version 4.0.9 with previous version 4.0.7 dated 2022-05-06

Title: Memory-Efficient Storage of Large Data on Disk and Fast Access Functions
Description: The ff package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section (pagesize) in main memory - the effective virtual memory consumption per ff object. ff supports R's standard atomic data types 'double', 'logical', 'raw' and 'integer' and non-standard atomic types boolean (1 bit), quad (2 bit unsigned), nibble (4 bit unsigned), byte (1 byte signed with NAs), ubyte (1 byte unsigned), short (2 byte signed with NAs), ushort (2 byte unsigned), single (4 byte float with NAs). For example 'quad' allows efficient storage of genomic data as an 'A','T','G','C' factor. The unsigned types support 'circular' arithmetic. There is also support for close-to-atomic types 'factor', 'ordered', 'POSIXct', 'Date' and custom close-to-atomic types. ff not only has native C-support for vectors, matrices and arrays with flexible dimorder (major column-order, major row-order and generalizations for arrays). There is also a ffdf cla [...truncated...]
Author: Daniel Adler [aut], Christian Glaeser [aut], Oleg Nenadic [aut], Jens Oehlschlaegel [aut, cre], Martijn Schuemie [aut], Walter Zucchini [aut]
Maintainer: Jens Oehlschlaegel <Jens.Oehlschlaegel@truecluster.com>

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Package gravmagsubs updated to version 1.0.1 with previous version 1.0.0 dated 2023-01-13

Title: Gravitational and Magnetic Attraction of 3-D Vertical Rectangular Prisms
Description: Computes the gravitational and magnetic anomalies generated by 3-D vertical rectangular prisms at specific observation points using the method of Plouff (1976) <doi:10.1190/1.1440645>.
Author: C. Cronkite-Ratcliff [aut, cre] , G. Phelps [aut] , D. Scheirer [aut]
Maintainer: C. Cronkite-Ratcliff <ccronkite-ratcliff@usgs.gov>

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Package filesstrings updated to version 3.2.4 with previous version 3.2.3 dated 2022-08-09

Title: Handy File and String Manipulation
Description: This started out as a package for file and string manipulation. Since then, the 'fs' and 'strex' packages emerged, offering functionality previously given by this package (but it's done better in these new ones). Those packages have hence almost pushed 'filesstrings' into extinction. However, it still has a small number of unique, handy file manipulation functions which can be seen in the vignette. One example is a function to remove spaces from all file names in a directory.
Author: Rory Nolan [aut, cre, cph] , Sergi Padilla-Parra [ths]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package openair updated to version 2.14 with previous version 2.13 dated 2023-01-06

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically regular time series and air quality measurement, meteorological data and dispersion model output can be analysed. The package is described in Carslaw and Ropkins (2012, <doi:10.1016/j.envsoft.2011.09.008>) and subsequent papers.
Author: David Carslaw [aut, cre], Jack Davison [aut], Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package mombf updated to version 3.3.0 with previous version 3.2.0 dated 2022-11-03

Title: Model Selection with Bayesian Methods and Information Criteria
Description: Model selection and averaging for regression and mixtures, inclusing Bayesian model selection and information criteria (BIC, EBIC, AIC, GIC).
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck, Oriol Abril, Miquel Torrens
Maintainer: David Rossell <rosselldavid@gmail.com>

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Package getip updated to version 0.1-3 with previous version 0.1-2 dated 2022-11-02

Title: 'IP' Address 'Lookup'
Description: A micro-package for getting your 'IP' address, either the local/internal or the public/external one. Currently only 'IPv4' addresses are supported.
Author: Drew Schmidt [aut, cre], Wei-Chen Chen [aut]
Maintainer: Drew Schmidt <wrathematics@gmail.com>

Diff between getip versions 0.1-2 dated 2022-11-02 and 0.1-3 dated 2023-01-25

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Package sapfluxnetr updated to version 0.1.4 with previous version 0.1.3 dated 2021-11-19

Title: Working with 'Sapfluxnet' Project Data
Description: Access, modify, aggregate and plot data from the 'Sapfluxnet' project (<http://sapfluxnet.creaf.cat>), the first global database of sap flow measurements.
Author: Victor Granda [aut, cre] , Rafael Poyatos [aut] , Victor Flo [aut] , Jacob Nelson [ctb] , Sapfluxnet Core Team [cph]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

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Package networkLite updated to version 1.0.1 with previous version 1.0.0 dated 2023-01-24

Title: An Simplified Implementation of the 'network' Package Functionality
Description: An implementation of some of the core 'network' package functionality based on a simplified data structure that is faster in many research applications. This package is designed for back-end use in the 'statnet' family of packages, including 'EpiModel'. Support is provided for binary and weighted, directed and undirected, bipartite and unipartite networks; no current support for multigraphs, hypergraphs, or loops.
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Adrien Le Guillou [aut], Chad Klumb [aut], Skye Bender-deMoll [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

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Package harmonizer updated to version 0.3.2 with previous version 0.3.1 dated 2022-11-23

Title: Harmonizing CN8 and PC8 Product Codes
Description: Several functions are provided to harmonize CN8 (Combined Nomenclature 8 digits) and PC8 (Production Communautaire 8 digits) product codes over time and the classification systems HS6 and BEC. Harmonization of CN8 codes are possible by default from 1995 to 2022 and of PC8 from 2001 to 2021, respectively.
Author: Christoph Baumgartner [cre, aut] , Stjepan Srhoj [aut] , Janette Walde [aut]
Maintainer: Christoph Baumgartner <Christoph.Baumgartner@uibk.ac.at>

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Package fMRIscrub updated to version 0.12.1 with previous version 0.11.2 dated 2022-07-08

Title: Scrubbing and Other Data Cleaning Routines for fMRI
Description: Data-driven fMRI denoising with projection scrubbing (Pham et al (2022) <arXiv:2108.00319>). Also includes routines for DVARS (Derivatives VARianceS) (Afyouni and Nichols (2018) <doi:10.1016/j.neuroimage.2017.12.098>), motion scrubbing (Power et al (2012) <doi:10.1016/j.neuroimage.2011.10.018>), aCompCor (anatomical Components Correction) (Muschelli et al (2014) <doi:10.1016/j.neuroimage.2014.03.028>), detrending, and nuisance regression. Projection scrubbing is also applicable to other outlier detection tasks involving high-dimensional data.
Author: Amanda Mejia [aut, cre], John Muschelli [aut] , Damon Pham [aut] , Daniel McDonald [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

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Package adjROC updated to version 0.3 with previous version 0.2.0 dated 2022-03-25

Title: Computing Sensitivity at a Fix Value of Specificity and Vice Versa as Well as Bootstrap Metrics for ROC Curves
Description: For a binary classification the adjusted sensitivity and specificity are measured for a given fixed threshold. If the threshold for either sensitivity or specificity is not given, the crossing point between the sensitivity and specificity curves are returned. For bootstrap procedures, mean and CI bootstrap values of sensitivity, specificity, crossing point between specificity and specificity as well as AUC and AUCPR can be evaluated.
Author: E. F. Haghish
Maintainer: E. F. Haghish <haghish@uio.no>

Diff between adjROC versions 0.2.0 dated 2022-03-25 and 0.3 dated 2023-01-25

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Package rfvimptest updated to version 0.1.3 with previous version 0.1.2 dated 2022-06-07

Title: Sequential Permutation Testing of Random Forest Variable Importance Measures
Description: Sequential permutation testing for statistical significance of predictors in random forests. The main function of the package is rfvimptest(), which allows to test for the statistical significance of predictors in random forests using different (sequential) permutation test strategies. The advantage of sequential over conventional permutation tests is that they are computationally considerably less intensive, as the sequential procedure is stopped as soon as there is sufficient evidence for either the null or the alternative hypothesis.
Author: Alexander Hapfelmeier [aut], Roman Hornung [aut, cre]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>

Diff between rfvimptest versions 0.1.2 dated 2022-06-07 and 0.1.3 dated 2023-01-25

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Package RcppTOML updated to version 0.2.1 with previous version 0.2.0 dated 2023-01-10

Title: 'Rcpp' Bindings to Parser for "Tom's Obvious Markup Language"
Description: The configuration format defined by 'TOML' (which expands to "Tom's Obvious Markup Language") specifies an excellent format (described at <https://toml.io/en/>) suitable for both human editing as well as the common uses of a machine-readable format. This package uses 'Rcpp' to connect to the 'toml++' parser written by Mark Gillard to R.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppTOML versions 0.2.0 dated 2023-01-10 and 0.2.1 dated 2023-01-25

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New package groupedSurv with initial version 1.0.5
Package: groupedSurv
Title: Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function
Version: 1.0.5
Date: 2023-01-24
Author: Jiaxing Lin [aut], Alexander Sibley [aut], Tracy Truong [aut], Kouros Owzar [aut], Zhiguo Li [aut], Layne Rogers [ctb], Yu Jiang [ctb], Janice McCarthy [ctb], Andrew Allen [ctb]
Maintainer: Alexander Sibley <dcibioinformatics@duke.edu>
Description: These 'Rcpp'-based functions compute the efficient score statistics for grouped time-to-event data (Prentice and Gloeckler, 1978), with the optional inclusion of baseline covariates. Functions for estimating the parameter of interest and nuisance parameters, including baseline hazards, using maximum likelihood are also provided. A parallel set of functions allow for the incorporation of family structure of related individuals (e.g., trios). Note that the current implementation of the frailty model (Ripatti and Palmgren, 2000) is sensitive to departures from model assumptions, and should be considered experimental. For these data, the exact proportional-hazards-model-based likelihood is computed by evaluating multiple variable integration. The integration is accomplished using the 'Cuba' library (Hahn, 2005), and the source files are included in this package. The maximization process is carried out using Brent's algorithm, with the C++ code file from John Burkardt and John Denker (Brent [...truncated...]
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), doParallel, parallel, foreach, qvalue
LinkingTo: Rcpp, RcppEigen, BH
Suggests: knitr, snplist, BEDMatrix
VignetteBuilder: knitr
BuildVignettes: yes
NeedsCompilation: yes
Packaged: 2023-01-24 18:10:11 UTC; lwr11
Repository: CRAN
Date/Publication: 2023-01-25 14:20:02 UTC

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Package groundhog updated to version 2.2.0 with previous version 2.1.0 dated 2022-10-02

Title: Version-Control for CRAN, GitHub, and GitLab Packages
Description: Make R scripts 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 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 at that date). Load packages from CRAN, GitHub, or Gitlab. ======================================= Note: groundhog relied on Microsoft's MRAN archive which is being discontinued. This version of groundhog is transitioning away from MRAN, relying on it only for dates prior to Jan 31, 2023. A future release of groundhog, v2.3.0, expected by May 2023, will discontinue relying on MRAN entirely.
Author: Uri Simonsohn [aut, cre] , Hugo Gruson [ctb, aut]
Maintainer: Uri Simonsohn <urisohn@gmail.com>

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Package fishmethods updated to version 1.12-0 with previous version 1.11-3 dated 2022-01-05

Title: Fishery Science Methods and Models
Description: Functions for applying a wide range of fisheries stock assessment methods.
Author: Gary A. Nelson <gary.nelson@mass.gov>
Maintainer: Gary A. Nelson <gary.nelson@mass.gov>

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Package ggeffects updated to version 1.1.5 with previous version 1.1.4 dated 2022-10-23

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Luedecke [aut, cre] , Frederik Aust [ctb] , Sam Crawley [ctb] , Mattan S. Ben-Shachar [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package wrGraph updated to version 1.3.2 with previous version 1.3.1 dated 2022-03-31

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrGraph versions 1.3.1 dated 2022-03-31 and 1.3.2 dated 2023-01-25

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More information about wrGraph at CRAN
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Package TDApplied updated to version 2.0.4 with previous version 2.0.3 dated 2023-01-15

Title: Machine Learning and Inference for Topological Data Analysis
Description: Topological data analysis is a powerful tool for finding non-linear global structure in whole datasets. 'TDApplied' aims to bridge topological data analysis with data, statistical and machine learning practitioners so that more analyses may benefit from the power of topological data analysis. The main tool of topological data analysis is persistent homology, which computes a shape descriptor of a dataset, called a persistence diagram. There are five goals of this package: (1) deliver a fast implementation of persistent homology via a python interface, (2) convert persistence diagrams computed using the two main R packages for topological data analysis into a data frame, (3) implement fast versions of both distance and kernel calculations for pairs of persistence diagrams, (4) contribute tools for the interpretation of persistence diagrams, and (5) provide parallelized methods for machine learning and inference for persistence diagrams.
Author: Shael Brown [aut, cre], Dr. Reza Farivar [aut, fnd]
Maintainer: Shael Brown <shaelebrown@gmail.com>

Diff between TDApplied versions 2.0.3 dated 2023-01-15 and 2.0.4 dated 2023-01-25

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Package TSP updated to version 1.2-2 with previous version 1.2-1 dated 2022-07-14

Title: Traveling Salesperson Problem (TSP)
Description: Basic infrastructure and some algorithms for the traveling salesperson problem (also traveling salesman problem; TSP). The package provides some simple algorithms and an interface to the Concorde TSP solver and its implementation of the Chained-Lin-Kernighan heuristic. The code for Concorde itself is not included in the package and has to be obtained separately. Hahsler and Hornik (2007) <doi:10.18637/jss.v023.i02>.
Author: Michael Hahsler [aut, cre, cph] , Kurt Hornik [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between TSP versions 1.2-1 dated 2022-07-14 and 1.2-2 dated 2023-01-25

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Package spatstat.random updated to version 3.1-3 with previous version 3.1-2 dated 2023-01-24

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut] , Kasper Klitgaard Berthelsen [ctb], Ya-Mei Chang [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.random versions 3.1-2 dated 2023-01-24 and 3.1-3 dated 2023-01-25

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Package knitr updated to version 1.42 with previous version 1.41 dated 2022-11-18

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] , Abhraneel Sarma [ctb], Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Amar Al-Zubaidi [ctb], Andre Simon [ctb] , Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Atsushi Yasumoto [ctb] , Ben Baumer [ctb], [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package collapse updated to version 1.9.2 with previous version 1.9.0 dated 2023-01-15

Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, and programmer friendly through a flexible and robust API. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated wit [...truncated...]
Author: Sebastian Krantz [aut, cre], Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [ [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

Diff between collapse versions 1.9.0 dated 2023-01-15 and 1.9.2 dated 2023-01-25

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New package clarify with initial version 0.1.0
Package: clarify
Title: Simulation-Based Inference for Regression Models
Version: 0.1.0
Description: Performs simulation-based inference as an alternative to the delta method for obtaining valid confidence intervals and p-values for regression post-estimation quantities, such as average marginal effects and predictions at representative values. This framework for simulation-based inference is especially useful when the resulting quantity is not normally distributed and the delta method approximation fails. The methodology is described in King, Tomz, and Wittenberg (2000) <doi:10.2307/2669316>. 'clarify' is meant to replace some of the functionality of the archived package 'Zelig'; see the vignette "Translating Zelig to clarify" for replicating this functionality.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: ggplot2, pbapply, chk (>= 0.8.1), rlang, insight (>= 0.18.8), marginaleffects (>= 0.8.1), mvnfast
Suggests: testthat (>= 3.0.0), MatchIt (>= 4.0.0), parallel, knitr, rmarkdown, Amelia, MASS, betareg, survey, estimatr, fixest, logistf, geepack, rms, robustbase, robust, AER, ivreg, mgcv, sandwich
URL: https://github.com/iqss/clarify, https://iqss.github.io/clarify/
BugReports: https://github.com/iqss/clarify/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-25 03:58:24 UTC; NoahGreifer
Author: Noah Greifer [aut, cre] , Steven Worthington [aut] , Stefano Iacus [aut] , Gary King [aut]
Maintainer: Noah Greifer <ngreifer@iq.harvard.edu>
Repository: CRAN
Date/Publication: 2023-01-25 10:10:10 UTC

More information about clarify at CRAN
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Package abn updated to version 2.7-3 with previous version 2.7-1 dated 2022-04-25

Title: Modelling Multivariate Data with Additive Bayesian Networks
Description: Bayesian network analysis is a form of probabilistic graphical models which derives from empirical data a directed acyclic graph, DAG, describing the dependency structure between random variables. An additive Bayesian network model consists of a form of a DAG where each node comprises a generalized linear model, GLM. Additive Bayesian network models are equivalent to Bayesian multivariate regression using graphical modeling; they generalises the usual multivariable regression, GLM, to multiple dependent variables. 'abn' provides routines to help determine optimal Bayesian network models for a given data set, where these models are used to identify statistical dependencies in messy, complex data. The additive formulation of these models is equivalent to multivariate generalized linear modeling (including mixed models with iid random effects). The usual term to describe this model selection process is structure discovery. The core functionality is concerned with model selection - determi [...truncated...]
Author: Reinhard Furrer [cre, aut] , Gilles Kratzer [aut] , Fraser Iain Lewis [aut] , Marta Pittavino [ctb] , Kalina Cherneva [ctr]
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

Diff between abn versions 2.7-1 dated 2022-04-25 and 2.7-3 dated 2023-01-25

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New package AnanseSeurat with initial version 1.1.0
Package: AnanseSeurat
Title: Construct ANANSE GRN-Analysis Seurat
Version: 1.1.0
Description: Enables gene regulatory network (GRN) analysis on single cell clusters, using the GRN analysis software 'ANANSE', Xu et al.(2021) <doi:10.1093/nar/gkab598>. Export data from 'Seurat' objects, for GRN analysis by 'ANANSE' implemented in 'snakemake'. Finally, incorporate results for visualization and interpretation.
License: Apache License (>= 2)
BugReports: https://github.com/JGASmits/AnanseSeurat/issues
URL: https://github.com/JGASmits/AnanseSeurat/
Encoding: UTF-8
Imports: dplyr, ggplot2, ggpubr, magrittr, patchwork, png, purrr, rlang, Seurat, stringr, utils
Suggests: covr, knitr, rmarkdown, Signac, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.50)
NeedsCompilation: no
Packaged: 2023-01-25 09:13:52 UTC; jsmits
Author: Jos Smits [aut, cre, cph] , Huiqing Jo Zhou [aut, fnd, cph]
Maintainer: Jos Smits <Jsmits@science.ru.nl>
Repository: CRAN
Date/Publication: 2023-01-25 10:10:18 UTC

More information about AnanseSeurat at CRAN
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Package RAEN (with last version 0.2) was removed from CRAN

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

2021-02-21 0.2
2021-01-18 0.1

Permanent link
Package fastcmprsk (with last version 1.1.1) was removed from CRAN

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

2019-09-11 1.1.1
2019-09-07 1.1.0

Permanent link
Package wrMisc updated to version 1.11.1 with previous version 1.11.0 dated 2023-01-06

Title: Analyze Experimental High-Throughput (Omics) Data
Description: The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc. Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). Other functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of large dat [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrMisc versions 1.11.0 dated 2023-01-06 and 1.11.1 dated 2023-01-25

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New package SK4FGA with initial version 0.1.0
Package: SK4FGA
Title: Scott-Knott for Forensic Glass Analysis
Version: 0.1.0
Maintainer: Toby Hayward <tobyhayward13@gmail.com>
Description: In forensics, it is common and effective practice to analyse glass fragments from the scene and suspects to gain evidence of placing a suspect at the crime scene. This kind of analysis involves comparing the physical and chemical attributes of glass fragments that exist on both the person and at the crime scene, and assessing the significance in a likeness that they share. The package implements the Scott-Knott Modification 2 algorithm (SKM2) (Christopher M. Triggs and James M. Curran and John S. Buckleton and Kevan A.J. Walsh (1997) <doi:10.1016/S0379-0738(96)02037-3> "The grouping problem in forensic glass analysis: a divisive approach", Forensic Science International, 85(1), 1--14) for small sample glass fragment analysis using the refractive index (ri) of a set of glass samples. It also includes an experimental multivariate analog to the Scott-Knott algorithm for similar analysis on glass samples with multiple chemical concentration variables and multiple samples of the same [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
LinkingTo: Rcpp
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2023-01-25 01:13:35 UTC; tobiw
Author: Toby Hayward [aut, cre] , James Curran [aut, ctb] , Lewis Kendall-Jones [ctb]
Repository: CRAN
Date/Publication: 2023-01-25 10:00:02 UTC

More information about SK4FGA at CRAN
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Package PERK updated to version 0.0.9.2 with previous version 0.0.9.1 dated 2023-01-24

Title: Predicting Environmental Concentration and Risk
Description: A Shiny Web Application to predict and visualize concentrations of pharmaceuticals in the aqueous environment. Jagadeesan K., Barden R. and Kasprzyk-Hordern B. (2022) <https://www.ssrn.com/abstract=4306129>.
Author: Kishore Kumar Jagadeesan [cre, aut, cph]
Maintainer: Kishore Kumar Jagadeesan <jkkishore85@gmail.com>

Diff between PERK versions 0.0.9.1 dated 2023-01-24 and 0.0.9.2 dated 2023-01-25

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Package excursions updated to version 2.5.5 with previous version 2.5.4 dated 2022-10-14

Title: Excursion Sets and Contour Credibility Regions for Random Fields
Description: Functions that compute probabilistic excursion sets, contour credibility regions, contour avoiding regions, and simultaneous confidence bands for latent Gaussian random processes and fields. The package also contains functions that calculate these quantities for models estimated with the INLA package. The main references for excursions are Bolin and Lindgren (2015) <doi:10.1111/rssb.12055>, Bolin and Lindgren (2017) <doi:10.1080/10618600.2016.1228537>, and Bolin and Lindgren (2018) <doi:10.18637/jss.v086.i05>. These can be generated by the citation function in R.
Author: David Bolin [cre, aut], Finn Lindgren [aut]
Maintainer: David Bolin <davidbolin@gmail.com>

Diff between excursions versions 2.5.4 dated 2022-10-14 and 2.5.5 dated 2023-01-25

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Package copula updated to version 1.1-2 with previous version 1.1-1 dated 2022-11-17

Title: Multivariate Dependence with Copulas
Description: Classes (S4) of commonly used elliptical, Archimedean, extreme-value and other copula families, as well as their rotations, mixtures and asymmetrizations. Nested Archimedean copulas, related tools and special functions. Methods for density, distribution, random number generation, bivariate dependence measures, Rosenblatt transform, Kendall distribution function, perspective and contour plots. Fitting of copula models with potentially partly fixed parameters, including standard errors. Serial independence tests, copula specification tests (independence, exchangeability, radial symmetry, extreme-value dependence, goodness-of-fit) and model selection based on cross-validation. Empirical copula, smoothed versions, and non-parametric estimators of the Pickands dependence function.
Author: Marius Hofert [aut] , Ivan Kojadinovic [aut] , Martin Maechler [aut, cre] , Jun Yan [aut] , Johanna G. Neslehova [ctb] , <https://orcid.org/0000-0001-9634-4796>), Rebecca Morger [ctb] : code for free mixCopula weight parameters)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between copula versions 1.1-1 dated 2022-11-17 and 1.1-2 dated 2023-01-25

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Package Compind updated to version 2.7.1 with previous version 2.7 dated 2023-01-22

Title: Composite Indicators Functions
Description: A collection of functions to calculate Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps, as described in OECD Handbook on constructing composite indicators: methodology and user guide <https://www.oecd.org/els/soc/handbookonconstructingcompositeindicatorsmethodologyanduserguide.htm>, 'Vidoli' and 'Fusco' and 'Mazziotta' <doi:10.1007/s11205-014-0710-y>, 'Mazziotta' and 'Pareto' (2016) <doi:10.1007/s11205-015-0998-2>, 'Van Puyenbroeck and 'Rogge' <doi:10.1016/j.ejor.2016.07.038> and other authors.
Author: Francesco Vidoli, Elisa Fusco
Maintainer: Francesco Vidoli <fvidoli@gmail.com>

Diff between Compind versions 2.7 dated 2023-01-22 and 2.7.1 dated 2023-01-25

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New package BayesDLMfMRI with initial version 0.0.1
Package: BayesDLMfMRI
Title: Statistical Analysis for Task-Based Fmri Data
Version: 0.0.1
Date: 2023-01-23
URL: https://github.com/JohnatanLAB/BayesDLMfMRI/
Maintainer: Carlos Perez <caaperezag@unal.edu.co>
Description: The 'BayesDLMfMRI' package performs statistical analysis for task-based functional magnetic resonance imaging (fMRI) data at both individual and group levels. The analysis to detect brain activation at the individual level is based on modeling the fMRI signal using Matrix-Variate Dynamic Linear Models (MDLM). The analysis for the group stage is based on posterior distributions of the state parameter obtained from the modeling at the individual level. In this way, this package offers several R functions with different algorithms to perform inference on the state parameter to assess brain activation for both individual and group stages. Those functions allow for parallel computation when the analysis is performed for the entire brain as well as analysis at specific voxels when it is required. References: Cardona-Jiménez (2017) <doi:10.1016/j.csda.2021.107297>; Cardona-Jiménez (2018) <arXiv:2111.01318>.
License: GPL-2
Imports: abind, oro.nifti, pbapply, Rcpp (>= 1.0.4), Rdpack, mathjaxr
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Encoding: UTF-8
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2023-01-25 02:13:43 UTC; carlos
Author: Johnatan Cardona-Jimenez [aut], Carlos Perez [cre, aut], Isabel Ramirez [aut]
Repository: CRAN
Date/Publication: 2023-01-25 10:00:05 UTC

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Package RcppCWB updated to version 0.5.5 with previous version 0.5.4 dated 2022-08-30

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

Diff between RcppCWB versions 0.5.4 dated 2022-08-30 and 0.5.5 dated 2023-01-25

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Package modeldata updated to version 1.1.0 with previous version 1.0.1 dated 2022-09-06

Title: Data Sets Useful for Modeling Examples
Description: Data sets used for demonstrating or testing model-related packages are contained in this package.
Author: Max Kuhn [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

Diff between modeldata versions 1.0.1 dated 2022-09-06 and 1.1.0 dated 2023-01-25

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New package mnda with initial version 1.0.9
Package: mnda
Title: Multiplex Network Differential Analysis (MNDA)
Version: 1.0.9
Description: Interactions between different biological entities are crucial for the function of biological systems. In such networks, nodes represent biological elements, such as genes, proteins and microbes, and their interactions can be defined by edges, which can be either binary or weighted. The dysregulation of these networks can be associated with different clinical conditions such as diseases and response to treatments. However, such variations often occur locally and do not concern the whole network. To capture local variations of such networks, we propose multiplex network differential analysis (MNDA). MNDA allows to quantify the variations in the local neighborhood of each node (e.g. gene) between the two given clinical states, and to test for statistical significance of such variation. Yousefi et al. (2023) <doi:10.1101/2023.01.22.525058>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: assertthat, igraph, Matrix, keras, tensorflow, reticulate, MASS, ggraph, ggplot2, aggregation, usethis, magrittr, stats, graphics
NeedsCompilation: no
Packaged: 2023-01-24 22:21:54 UTC; behnam
Author: Behnam Yousefi [aut, cre, cph], Farzaneh Firoozbakht [aut]
Maintainer: Behnam Yousefi <yousefi.bme@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-25 08:30:02 UTC

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Package fRLR updated to version 1.2.2 with previous version 1.2.1 dated 2021-07-29

Title: Fit Repeated Linear Regressions
Description: When fitting a set of linear regressions which have some same variables, we can separate the matrix and reduce the computation cost. This package aims to fit a set of repeated linear regressions faster. More details can be found in this blog Lijun Wang (2017) <https://stats.hohoweiya.xyz/regression/2017/09/26/An-R-Package-Fit-Repeated-Linear-Regressions/>.
Author: Lijun Wang [aut, cre, cph]
Maintainer: Lijun Wang <szcfweiya@gmail.com>

Diff between fRLR versions 1.2.1 dated 2021-07-29 and 1.2.2 dated 2023-01-25

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New package amazonspR with initial version 0.1.0
Package: amazonspR
Title: Get Amazon Sp Data via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from Amazon Sp using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-24 19:31:01 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2023-01-25 08:30:05 UTC

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Package sdmTMB (with last version 0.2.1) was removed from CRAN

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

2023-01-10 0.2.1

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Package IGP (with last version 0.2.1) was removed from CRAN

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

2023-01-15 0.2.1

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Package transfR updated to version 1.0.7 with previous version 1.0.6 dated 2023-01-22

Title: Transfer of Hydrograph from Gauged to Ungauged Catchments
Description: A geomorphology-based hydrological modelling for transferring streamflow measurements from gauged to ungauged catchments. Inverse modelling enables to estimate net rainfall from streamflow measurements following Boudhraâ et al. (2018) <doi:10.1080/02626667.2018.1425801>. Resulting net rainfall is then estimated on the ungauged catchments by spatial interpolation in order to finally simulate streamflow following de Lavenne et al. (2016) <doi:10.1002/2016WR018716>.
Author: Alban de Lavenne [aut, cre] , Christophe Cudennec [ths] , Tom Loree [ctb], Herve Squividant [ctb]
Maintainer: Alban de Lavenne <alban.delavenne@inrae.fr>

Diff between transfR versions 1.0.6 dated 2023-01-22 and 1.0.7 dated 2023-01-25

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Package survSNP updated to version 0.26 with previous version 0.25 dated 2021-10-13

Title: Power Calculations for SNP Studies with Censored Outcomes
Description: Conduct asymptotic and empirical power and sample size calculations for Single-Nucleotide Polymorphism (SNP) association studies with right censored time to event outcomes.
Author: Kouros Owzar, Zhiguo Li, Nancy Cox, Sin-Ho Jung and Chanhee Yi
Maintainer: Alexander Sibley <dcibioinformatics@duke.edu>

Diff between survSNP versions 0.25 dated 2021-10-13 and 0.26 dated 2023-01-25

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New package poolHelper with initial version 1.0.0
Package: poolHelper
Title: Simulates Pooled Sequencing Genetic Data
Version: 1.0.0
Description: Simulates pooled sequencing data under a variety of conditions. Also allows for the evaluation of the average absolute difference between allele frequencies computed from genotypes and those computed from pooled data. Carvalho et al., (2022) <doi:10.1101/2023.01.20.524733>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: MCMCpack, Metrics, scrm, stats
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/joao-mcarvalho/poolHelper
BugReports: https://github.com/joao-mcarvalho/poolHelper/issues
NeedsCompilation: no
Packaged: 2023-01-24 13:57:28 UTC; jcarvalho
Author: Joao Carvalho [aut, cre] , Vitor Sousa [aut]
Maintainer: Joao Carvalho <jgcarvalho@fc.ul.pt>
Repository: CRAN
Date/Publication: 2023-01-25 08:00:10 UTC

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New package play with initial version 0.1.3
Package: play
Title: Visualize Sports Data
Version: 0.1.3
Description: Provides functions to visualise sports data. Converts data into a format suitable for plotting charts. Helps to ease the process of working with messy sports data to a more user friendly format. Football data is accessed through 'worldfootballR' '<https://github.com/JaseZiv/worldfootballR>' which gets data from 'FBref' <https://fbref.com/en>, 'Transfermarkt' <https://www.transfermarkt.com/>, 'Understat' <https://understat.com/>, and 'fotmob' <https://www.fotmob.com/>.
URL: https://joe-chelladurai.github.io/play/
BugReports: https://github.com/joe-chelladurai/play/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, forcats, ggplot2, purrr, stringr, tibble, tidyr, worldfootballR
NeedsCompilation: no
Packaged: 2023-01-24 15:56:16 UTC; Home
Author: Joe Chelladurai [aut, cre]
Maintainer: Joe Chelladurai <joe.chelladurai@yahoo.com>
Repository: CRAN
Date/Publication: 2023-01-25 08:00:13 UTC

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Package broom updated to version 1.0.3 with previous version 1.0.2 dated 2022-12-15

Title: Convert Statistical Objects into Tidy Tibbles
Description: Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
Author: David Robinson [aut], Alex Hayes [aut] , Simon Couch [aut, cre] , RStudio [cph, fnd], Indrajeet Patil [ctb] , Derek Chiu [ctb], Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], Ben Bolker [ct [...truncated...]
Maintainer: Simon Couch <simonpatrickcouch@gmail.com>

Diff between broom versions 1.0.2 dated 2022-12-15 and 1.0.3 dated 2023-01-25

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New package actuaRE with initial version 0.1.2
Package: actuaRE
Title: Handling Hierarchically Structured Risk Factors using Random Effects Models
Version: 0.1.2
Description: Using this package, you can fit a random effects model using either the hierarchical credibility model, a combination of the hierarchical credibility model with a generalized linear model or a Tweedie generalized linear mixed model. See Campo, B.D.C. and Antonio, K. (2022) <arXiv:2206.15244>.
License: GPL (>= 3)
Depends: R (>= 3.5.0), stats, methods, cplm
Imports: statmod, nlme, lme4, magrittr, speedglm, data.table, ggplot2, knitr
Suggests: plyr, insuranceData, actuar, utils, lattice
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://bavodc.github.io/websiteactuaRE/index.html
NeedsCompilation: no
Packaged: 2023-01-24 15:17:35 UTC; u0095171
Author: Campo Bavo D.C. [aut, cre]
Maintainer: Campo Bavo D.C. <bavo.decock@kuleuven.be>
Repository: CRAN
Date/Publication: 2023-01-25 08:00:31 UTC

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Package deepboost (with last version 0.1.6) was removed from CRAN

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

2017-11-08 0.1.6
2016-12-29 0.1.5
2016-03-02 0.1.4
2016-03-01 0.1.3

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Package scanstatistics (with last version 1.1.0) was removed from CRAN

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

2022-10-28 1.1.0

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Package GauPro (with last version 0.2.6) was removed from CRAN

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

2022-11-24 0.2.6
2022-11-14 0.2.5

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Package matrixprofiler (with last version 0.1.7) was removed from CRAN

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

2021-11-23 0.1.7
2021-05-26 0.1.5
2021-03-03 0.1.4

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Package giphyr (with last version 0.2.0) was removed from CRAN

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

2019-04-30 0.2.0
2018-11-14 0.1.3
2017-10-21 0.1.2
2017-05-02 0.1.1
2017-03-22 0.1.0

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