Tue, 16 Jul 2024

Package tfdatasets updated to version 2.17.0 with previous version 2.9.0 dated 2022-06-29

Title: Interface to 'TensorFlow' Datasets
Description: Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/guide> for additional details.
Author: Tomasz Kalinowski [ctb, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Yuan Tang [aut] , Kevin Ushey [aut], RStudio [cph, fnd], Google Inc. [cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

Diff between tfdatasets versions 2.9.0 dated 2022-06-29 and 2.17.0 dated 2024-07-16

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Package strawr updated to version 0.0.92 with previous version 0.0.91 dated 2023-03-29

Title: Fast Implementation of Reading/Dump for .hic Files
Description: API for fast data extraction for .hic files that provides programmatic access to the matrices. It doesn't store the pointer data for all the matrices, only the one queried, and currently we are only supporting matrices (not vectors).
Author: Neva Cherniavsky Durand [aut, cre], Muhammad Saad Shamim [aut], Aiden Lab [cph]
Maintainer: Neva Cherniavsky Durand <neva@broadinstitute.org>

Diff between strawr versions 0.0.91 dated 2023-03-29 and 0.0.92 dated 2024-07-16

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Package rlas updated to version 1.8.0 with previous version 1.7.0 dated 2023-12-11

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://www.asprs.org/divisions-committees/lidar-division/laser-las-file-format-exchange-activities>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Florian De Boissieu [aut, ctb] , Martin Isenburg [cph] , David Auty [ctb] , Pierrick Marie [ctb] , Tiago de Conto [ctb]
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between rlas versions 1.7.0 dated 2023-12-11 and 1.8.0 dated 2024-07-16

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Package qtl2fst updated to version 0.28 with previous version 0.26 dated 2021-10-07

Title: Database Storage of Genotype Probabilities for QTL Mapping
Description: Uses the 'fst' package to store genotype probabilities on disk for the 'qtl2' package. These genotype probabilities are a central data object for mapping quantitative trait loci (QTL), but they can be quite large. The facilities in this package enable the genotype probabilities to be stored on disk, leading to reduced memory usage with only a modest increase in computation time.
Author: Karl W Broman [aut, cre] , Brian S Yandell [aut] , Petr Simecek [aut]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between qtl2fst versions 0.26 dated 2021-10-07 and 0.28 dated 2024-07-16

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Package pals updated to version 1.9 with previous version 1.8 dated 2023-08-23

Title: Color Palettes, Colormaps, and Tools to Evaluate Them
Description: A comprehensive collection of color palettes, colormaps, and tools to evaluate them. See Kovesi (2015) <doi:10.48550/arXiv.1509.03700>.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package lazytrade updated to version 0.5.4 with previous version 0.5.3 dated 2021-12-15

Title: Learn Computer and Data Science using Algorithmic Trading
Description: Provide sets of functions and methods to learn and practice data science using idea of algorithmic trading. Main goal is to process information within "Decision Support System" to come up with analysis or predictions. There are several utilities such as dynamic and adaptive risk management using reinforcement learning and even functions to generate predictions of price changes using pattern recognition deep regression learning. Summary of Methods used: Awesome H2O tutorials: <https://github.com/h2oai/awesome-h2o>, Market Type research of Van Tharp Institute: <https://vantharp.com/>, Reinforcement Learning R package: <https://CRAN.R-project.org/package=ReinforcementLearning>.
Author: Vladimir Zhbanko
Maintainer: Vladimir Zhbanko <vladimir.zhbanko@gmail.com>

Diff between lazytrade versions 0.5.3 dated 2021-12-15 and 0.5.4 dated 2024-07-16

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Package imf.data updated to version 0.1.6 with previous version 0.1.5 dated 2024-03-06

Title: An Interface to IMF (International Monetary Fund) Data JSON API
Description: A straightforward interface for accessing the IMF (International Monetary Fund) data JSON API, available at <https://data.imf.org/>. This package offers direct access to the primary API endpoints: Dataflow, DataStructure, and CompactData. And, it provides an intuitive interface for exploring available dimensions and attributes, as well as querying individual time-series datasets. Additionally, the package implements a rate limit on API calls to reduce the chances of exceeding service limits (limited to 10 calls every 5 seconds) and encountering response errors.
Author: Pedro Baltazar [aut, cre]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>

Diff between imf.data versions 0.1.5 dated 2024-03-06 and 0.1.6 dated 2024-07-16

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Package filearray updated to version 0.1.7 with previous version 0.1.6 dated 2023-06-23

Title: File-Backed Array for Out-of-Memory Computation
Description: Stores large arrays in files to avoid occupying large memories. Implemented with super fast gigabyte-level multi-threaded reading/writing via 'OpenMP'. Supports multiple non-character data types (double, float, complex, integer, logical, and raw).
Author: Zhengjia Wang [aut, cre, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between filearray versions 0.1.6 dated 2023-06-23 and 0.1.7 dated 2024-07-16

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Package CvmortalityMult updated to version 1.0.3 with previous version 1.0.2 dated 2024-05-14

Title: Cross-Validation for Multi-Population Mortality Models
Description: Implementation of cross-validation method for testing the forecasting accuracy of several multi-population mortality models. The family of multi-population includes several multi-population mortality models proposed through the actuarial and demography literature. The package includes functions for fitting and forecast the mortality rates of several populations. Additionally, we include functions for testing the forecasting accuracy of different multi-population models. References. Atance, D., Debon, A., and Navarro, E. (2020) <doi:10.3390/math8091550>. Bergmeir, C. & Benitez, J.M. (2012) <doi:10.1016/j.ins.2011.12.028>. Debon, A., Montes, F., & Martinez-Ruiz, F. (2011) <doi:10.1007/s13385-011-0043-z>. Lee, R.D. & Carter, L.R. (1992) <doi:10.1080/01621459.1992.10475265>. Russolillo, M., Giordano, G., & Haberman, S. (2011) <doi:10.1080/03461231003611933>. Santolino, M. (2023) <doi:10.3390/risks11100170>.
Author: David Atance [aut, cre] , Ana Debon [aut]
Maintainer: David Atance <david.atance@uah.es>

Diff between CvmortalityMult versions 1.0.2 dated 2024-05-14 and 1.0.3 dated 2024-07-16

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Package Rlgt updated to version 0.2-2 with previous version 0.2-1 dated 2023-09-15

Title: Bayesian Exponential Smoothing Models with Trend Modifications
Description: An implementation of a number of Global Trend models for time series forecasting that are Bayesian generalizations and extensions of some Exponential Smoothing models. The main differences/additions include 1) nonlinear global trend, 2) Student-t error distribution, and 3) a function for the error size, so heteroscedasticity. The methods are particularly useful for short time series. When tested on the well-known M3 dataset, they are able to outperform all classical time series algorithms. The models are fitted with MCMC using the 'rstan' package.
Author: Slawek Smyl [aut], Christoph Bergmeir [aut, cre], Erwin Wibowo [aut], To Wang Ng [aut], Xueying Long [aut], Alexander Dokumentov [aut], Daniel Schmidt [aut], Trustees of Columbia University [cph]
Maintainer: Christoph Bergmeir <christoph.bergmeir@monash.edu>

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New package r311 with initial version 0.3.7
Package: r311
Title: Interface to the 'open311' Standard
Version: 0.3.7
Maintainer: Jonas Lieth <jonas.lieth@gesis.org>
Description: Access and handle APIs that use the international 'open311' 'GeoReport v2' standard for civic issue tracking <https://wiki.open311.org/GeoReport_v2/>. Retrieve civic service types and request data. Select and add available 'open311' endpoints and jurisdictions. Implicitly supports custom queries and 'open311' extensions. Requires a minimal number of hard dependencies while still allowing the integration in common R formats ('xml2', 'tibble', 'sf').
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: utils, tools, curl, jsonlite
Suggests: httptest2, testthat (>= 3.0.0), knitr, tibble, sf, xml2, xmlconvert, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/jslth/r311, https://jslth.github.io/r311/, https://github.com/JsLth/r311
BugReports: https://github.com/JsLth/r311/issues
NeedsCompilation: no
Packaged: 2024-07-16 10:49:19 UTC; PC
Author: Jonas Lieth [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-07-16 21:20:02 UTC

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Package officedown updated to version 0.3.3 with previous version 0.3.1 dated 2023-09-02

Title: Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint'
Description: Allows production of 'Microsoft' corporate documents from 'R Markdown' by reusing formatting defined in 'Microsoft Word' documents. You can reuse table styles, list styles but also add column sections, landscape oriented pages. Table and image captions as well as cross-references are transformed into 'Microsoft Word' fields, allowing documents edition and merging without issue with references; the syntax conforms to the 'bookdown' cross-reference definition. Objects generated by the 'officer' package are also supported in the 'knitr' chunks. 'Microsoft PowerPoint' presentations also benefit from this as well as the ability to produce editable vector graphics in 'PowerPoint' and also to define placeholder where content is to be added.
Author: David Gohel [aut, cre, cph], ArData [cph], Institut fuer Qualitaetssicherung und Transparenz im Gesundheitswesen [fnd], Noam Ross [aut] , ArData [cph], Martin Camitz [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package npboottprm updated to version 0.3.1 with previous version 0.3.0 dated 2024-06-21

Title: Nonparametric Bootstrap Test with Pooled Resampling
Description: Addressing crucial research questions often necessitates a small sample size due to factors such as distinctive target populations, rarity of the event under study, time and cost constraints, ethical concerns, or group-level unit of analysis. Many readily available analytic methods, however, do not accommodate small sample sizes, and the choice of the best method can be unclear. The 'npboottprm' package enables the execution of nonparametric bootstrap tests with pooled resampling to help fill this gap. Grounded in the statistical methods for small sample size studies detailed in Dwivedi, Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>, the package facilitates a range of statistical tests, encompassing independent t-tests, paired t-tests, and one-way Analysis of Variance (ANOVA) F-tests. The nonparboot() function undertakes essential computations, yielding detailed outputs which include test statistics, effect sizes, confidence intervals, and bootstrap distributions. F [...truncated...]
Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats@gmail.com>

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Package fdasrvf updated to version 2.3.0 with previous version 2.2.0 dated 2024-01-24

Title: Elastic Functional Data Analysis
Description: Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <doi:10.48550/arXiv.1103.3817> and Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.
Author: J. Derek Tucker [aut, cre] , Aymeric Stamm [ctb]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

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Package earthtide updated to version 0.1.5 with previous version 0.1.2 dated 2023-11-15

Title: Parallel Implementation of 'ETERNA 3.40' for Prediction and Analysis of Earth Tides
Description: This is a port of 'Fortran ETERNA 3.4' <http://igets.u-strasbg.fr/soft_and_tool.php> by H.G. Wenzel for calculating synthetic Earth tides using the Hartmann and Wenzel (1994) <doi:10.1029/95GL03324> or Kudryavtsev (2004) <doi:10.1007/s00190-003-0361-2> tidal catalogs.
Author: Jonathan Kennel [aut, cre, trl], Beth Parker [ths], Wenzel Hans-Georg [ctb]
Maintainer: Jonathan Kennel <jkennel@uoguelph.ca>

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Package DiscreteTests updated to version 0.2.0 with previous version 0.1.3 dated 2024-06-21

Title: Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests
Description: Provides vectorised functions for computing p-values of various common discrete statistical tests, as described e.g. in Agresti (2002) <doi:10.1002/0471249688>, including their distributions. Exact and approximate computation methods are provided. For exact p-values, several procedures of determining two-sided p-values are included, which are outlined in more detail in Hirji (2006) <doi:10.1201/9781420036190>.
Author: Florian Junge [cre, aut], Christina Kihn [aut], Sebastian Doehler [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

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Package digiRhythm updated to version 2.0 with previous version 1.2 dated 2024-04-04

Title: Analyzing Animal's Rhythmicity
Description: Analyze and visualize the rhythmic behavior of animals using the degree of functional coupling (See Scheibe (1999) <doi:10.1076/brhm.30.2.216.1420>), compute and visualize harmonic power, actograms, average activity and diurnality index.
Author: Hassan-Roland Nasser [aut, cre], Marie Schneider [aut, ctb], Joanna Stachowicz [aut, rev], Christina Umstaetter [aut, ths]
Maintainer: Hassan-Roland Nasser <hassan.nasser@me.com>

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Package DIDmultiplegt updated to version 2.0.0 with previous version 0.1.4 dated 2024-05-27

Title: Estimators DID with Multiple Groups and Periods
Description: Estimators of Difference-in-Differences based on de Chaisemartin and D'Haultfoeuille.
Author: Diego Ciccia [aut, cre], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Shuo Zhang [aut], Clement de Chaisemartin [aut]
Maintainer: Diego Ciccia <diego.ciccia@kellogg.northwestern.edu>

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Package gpboost updated to version 1.5.1.1 with previous version 1.5.1 dated 2024-06-21

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

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Package priorsense updated to version 1.0.2 with previous version 1.0.1 dated 2024-06-24

Title: Prior Diagnostics and Sensitivity Analysis
Description: Provides functions for prior and likelihood sensitivity analysis in Bayesian models. Currently it implements methods to determine the sensitivity of the posterior to power-scaling perturbations of the prior and likelihood.
Author: Noa Kallioinen [aut, cre, cph], Topi Paananen [aut], Paul-Christian Buerkner [aut], Aki Vehtari [aut], Frank Weber [ctb]
Maintainer: Noa Kallioinen <noa.kallioinen@aalto.fi>

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Package wxgenR updated to version 1.4.1 with previous version 1.4.0 dated 2024-06-12

Title: A Stochastic Weather Generator with Seasonality
Description: A weather generator to simulate precipitation and temperature for regions with seasonality. Users input training data containing precipitation, temperature, and seasonality (up to 26 seasons). Including weather season as a training variable allows users to explore the effects of potential changes in season duration as well as average start- and end-time dates due to phenomena like climate change. Data for training should be a single time series but can originate from station data, basin averages, grid cells, etc. Bearup, L., Gangopadhyay, S., & Mikkelson, K. (2021). "Hydroclimate Analysis Lower Santa Cruz River Basin Study (Technical Memorandum No ENV-2020-056)." Bureau of Reclamation. Gangopadhyay, S., Bearup, L. A., Verdin, A., Pruitt, T., Halper, E., & Shamir, E. (2019, December 1). "A collaborative stochastic weather generator for climate impacts assessment in the Lower Santa Cruz River Basin, Arizona." Fall Meeting 2019, American Geophysical Union. <https://ui.adsabs.ha [...truncated...]
Author: Subhrendu Gangopadhyay [aut], Lindsay Bearup [aut], David Woodson [aut, cre], Marketa McGuire [aut], Andrew Verdin [aut], Eylon Shamir [aut], Eve Halper [aut]
Maintainer: David Woodson <dwoodson@usbr.gov>

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Package stars updated to version 0.6-6 with previous version 0.6-5 dated 2024-04-04

Title: Spatiotemporal Arrays, Raster and Vector Data Cubes
Description: Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.
Author: Edzer Pebesma [aut, cre] , Michael Sumner [ctb] , Etienne Racine [ctb], Adriano Fantini [ctb], David Blodgett [ctb], Krzysztof Dyba [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package robfilter updated to version 4.1.5 with previous version 4.1.4 dated 2023-12-05

Title: Robust Time Series Filters
Description: Implementations for several robust procedures that allow for (online) extraction of the signal of univariate or multivariate time series by applying robust regression techniques to a moving time window are provided. Included are univariate filtering procedures based on repeated-median regression as well as hybrid and trimmed filters derived from it; see Schettlinger et al. (2006) <doi:10.1515/BMT.2006.010>. The adaptive online repeated median by Schettlinger et al. (2010) <doi:10.1002/acs.1105> and the slope comparing adaptive repeated median by Borowski and Fried (2013) <doi:10.1007/s11222-013-9391-7> choose the width of the moving time window adaptively. Multivariate versions are also provided; see Borowski et al. (2009) <doi:10.1080/03610910802514972> for a multivariate online adaptive repeated median and Borowski (2012) <doi:10.17877/DE290R-14393> for a multivariate slope comparing adaptive repeated median. Furthermore, a repeated-median based filter w [...truncated...]
Author: Roland Fried [aut, cre], Karen Schettlinger [aut], Matthias Borowski [aut], Robin Nunkesser [ctb], Thorsten Bernholt [ctb]
Maintainer: Roland Fried <fried@statistik.tu-dortmund.de>

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Package httr2 updated to version 1.0.2 with previous version 1.0.1 dated 2024-04-01

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], Maximilian Girlich [ctb]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package dosearch updated to version 1.0.11 with previous version 1.0.10 dated 2024-07-09

Title: Causal Effect Identification from Multiple Incomplete Data Sources
Description: Identification of causal effects from arbitrary observational and experimental probability distributions via do-calculus and standard probability manipulations using a search-based algorithm by Tikka, Hyttinen and Karvanen (2021) <doi:10.18637/jss.v099.i05>. Allows for the presence of mechanisms related to selection bias (Bareinboim and Tian, 2015) <doi:10.1609/aaai.v29i1.9679>, transportability (Bareinboim and Pearl, 2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>, missing data (Mohan, Pearl, and Tian, 2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations of these. Also supports identification in the presence of context-specific independence (CSI) relations through labeled directed acyclic graphs (LDAG). For details on CSIs see (Corander et al., 2019) <doi:10.1016/j.apal.2019.04.004>.
Author: Santtu Tikka [aut, cre] , Antti Hyttinen [ctb] , Juha Karvanen [ctb]
Maintainer: Santtu Tikka <santtuth@gmail.com>

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Package diemr updated to version 1.4 with previous version 1.3 dated 2024-06-14

Title: Diagnostic Index Expectation Maximisation in R
Description: Likelihood-based genome polarisation finds which alleles of genomic markers belong to which side of the barrier. Co-estimates which individuals belong to either side of the barrier and barrier strength. Uses expectation maximisation in likelihood framework. The method is described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

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Package FRK updated to version 2.3.1 with previous version 2.3.0 dated 2024-06-17

Title: Fixed Rank Kriging
Description: A tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach models the field, and hence the covariance function, using a set of basis functions. This fixed-rank basis-function representation facilitates the modelling of big data, and the method naturally allows for non-stationary, anisotropic covariance functions. Discretisation of the spatial domain into so-called basic areal units (BAUs) facilitates the use of observations with varying support (i.e., both point-referenced and areal supports, potentially simultaneously), and prediction over arbitrary user-specified regions. `FRK` also supports inference over various manifolds, including the 2D plane and 3D sphere, and it provides helper functions to model, fit, predict, and plot with relative ease. Version 2.0.0 and above also supports the modelling of non-Gaussian data (e.g., Poisson, binomial, negative-binomial, gamma, and inverse-Gaussian) by employing a generalised linear mixed model (GLMM) framew [...truncated...]
Author: Andrew Zammit-Mangion [aut, cre], Matthew Sainsbury-Dale [aut]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

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Package CSHShydRology updated to version 1.4.2 with previous version 1.4.0 dated 2023-03-06

Title: Canadian Hydrological Analyses
Description: A collection of user-submitted functions to aid in the analysis of hydrological data, particularly for users in Canada. The functions focus on the use of Canadian data sets, and are suited to Canadian hydrology, such as the important cold region hydrological processes and will work with Canadian hydrological models. The functions are grouped into several themes, currently including Statistical hydrology, Basic data manipulations, Visualization, and Spatial hydrology. Functions developed by the Floodnet project are also included. CSHShydRology has been developed with the assistance of the Canadian Society for Hydrological Sciences (CSHS) which is an affiliated society of the Canadian Water Resources Association (CWRA). As of version 1.2.6, functions now fail gracefully when attempting to download data from a url which is unavailable.
Author: Kevin Shook [cre, aut], Paul Whitfield [aut], Robert Chlumsky [aut], Daniel Moore [aut], Martin Durocher [aut], Matthew Lemieux [ctb], Jason Chiang [ctb], Joel Trubilowicz [ctb], SJ Kim [ctb]
Maintainer: Kevin Shook <kevin.shook@usask.ca>

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Package CpGassoc updated to version 2.70 with previous version 2.60 dated 2017-05-30

Title: Association Between Methylation and a Phenotype of Interest
Description: Is designed to test for association between methylation at CpG sites across the genome and a phenotype of interest, adjusting for any relevant covariates. The package can perform standard analyses of large datasets very quickly with no need to impute the data. It can also handle mixed effects models with chip or batch entering the model as a random intercept. Also includes tools to apply quality control filters, perform permutation tests, and create QQ plots, manhattan plots, and scatterplots for individual CpG sites.
Author: Barfield, R., Conneely, K., Kilaru,V
Maintainer: R Barfield <barfieldrichard8@gmail.com>

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Package CDMConnector updated to version 1.5.0 with previous version 1.4.0 dated 2024-05-03

Title: Connect to an OMOP Common Data Model
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
Author: Adam Black [aut, cre] , Artem Gorbachev [aut], Edward Burn [aut], Marti Catala Sabate [aut]
Maintainer: Adam Black <black@ohdsi.org>

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New package clrng with initial version 0.0.5
Package: clrng
Title: Parallel Random Number Generation on GPU
Description: Builds on 'gpuR' and utilizes the 'clRNG' ('OpenCL') library to provide efficient tools to generate independent random numbers in parallel on a GPU and save the results as 'R' objects, ensuring high-quality random numbers even when 'R' is used interactively or in an ad-hoc manner. Includes Fisher's simulation method adapted from Patefield, William M (1981) <doi:10.2307/2346669> and 'MRG31k3p' Random Number Generator from 'clRNG' library by Advanced Micro Devices, Inc. (2015) <https://github.com/clMathLibraries/clRNG>.
Version: 0.0.5
Date: 2024-07-11
Maintainer: Ruoyong Xu <ruoyong.xu@mail.utoronto.ca>
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Depends: R (>= 3.5.0), gpuR
Suggests: knitr
LinkingTo: RViennaCL, Rcpp, gpuR, RcppEigen
OS_type: unix
VignetteBuilder: knitr
Packaged: 2024-07-12 15:56:59 UTC; ruoyong
Author: Ruoyong Xu [cre, aut, ctb] , Patrick Brown [aut, ctb] , Advanced Micro Devices, Inc. [cph]
Repository: CRAN
Date/Publication: 2024-07-16 09:00:02 UTC

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Package iC10TrainingData updated to version 2.0.1 with previous version 1.3.1 dated 2018-08-24

Title: Training Datasets for iC10 Package
Description: Training datasets for iC10; which implements the classifier described in the paper 'Genome-driven integrated classification of breast cancer validated in over 7,500 samples' (Ali HR et al., Genome Biology 2014). It uses copy number and/or expression form breast cancer data, trains a pamr classifier (Tibshirani et al.) with the features available and predicts the iC10 group. Genomic annotation for the training dataset has been obtained from Mark Dunning's lluminaHumanv3.db package.
Author: Oscar M Rueda and Jose Antonio Seoane Fernandez
Maintainer: Oscar M. Rueda <Oscar.Rueda@mrc-bsu.cam.ac.uk>

Diff between iC10TrainingData versions 1.3.1 dated 2018-08-24 and 2.0.1 dated 2024-07-16

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Package comorbidity updated to version 1.1.0 with previous version 1.0.7 dated 2023-05-01

Title: Computing Comorbidity Scores
Description: Computing comorbidity indices and scores such as the weighted Charlson score (Charlson, 1987 <doi:10.1016/0021-9681(87)90171-8>) and the Elixhauser comorbidity score (Elixhauser, 1998 <doi:10.1097/00005650-199801000-00004>) using ICD-9-CM or ICD-10 codes (Quan, 2005 <doi:10.1097/01.mlr.0000182534.19832.83>). Australian and Swedish modifications of the Charlson Comorbidity Index are available as well (Sundararajan, 2004 <doi:10.1016/j.jclinepi.2004.03.012> and Ludvigsson, 2021 <doi:10.2147/CLEP.S282475>), together with different weighting algorithms for both the Charlson and Elixhauser comorbidity scores.
Author: Alessandro Gasparini [aut, cre] , Hojjat Salmasian [ctb] , Jonathan Williman [ctb] , Sing Yi Chia [ctb] , Edmund Teo [ctb] , Desi Quintans [ctb]
Maintainer: Alessandro Gasparini <alessandro@ellessenne.xyz>

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Package wikiprofiler (with last version 0.1.3) was removed from CRAN

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

2023-09-28 0.1.3
2023-09-06 0.1.2

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Package taxotools (with last version 0.0.139) was removed from CRAN

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2024-04-04 0.0.139
2023-01-23 0.0.132

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Package icesSD (with last version 2.0.0) was removed from CRAN

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2022-02-18 2.0.0

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Package icesVMS (with last version 1.1.4) was removed from CRAN

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2023-03-21 1.1.4

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Package yarr (with last version 0.1.2) was removed from CRAN

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

2019-08-10 0.1.2
2019-05-17 0.1.1

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Package visualpred (with last version 0.1.0) was removed from CRAN

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2020-10-24 0.1.0

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Package icesDatsuQC (with last version 1.0.1) was removed from CRAN

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

2023-03-21 1.0.1
2022-02-18 1.0.0

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Package FCSlib (with last version 1.3.0) was removed from CRAN

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

2020-11-18 1.3.0
2020-09-20 1.2.1
2020-09-02 1.2.0
2020-08-06 1.1.1
2020-02-12 1.1.0
2019-08-05 1.0.0

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

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2022-10-18 1.0.2
2022-10-17 1.0.1

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

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2022-02-17 1.1.0
2022-02-11 1.0.0

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Package greenR (with last version 0.0.1.2) was removed from CRAN

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2024-06-29 0.0.1.2
2024-06-27 0.0.1.1

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Package gasfluxes updated to version 0.6-4 with previous version 0.6-2 dated 2024-01-08

Title: Greenhouse Gas Flux Calculation from Chamber Measurements
Description: Functions for greenhouse gas flux calculation from chamber measurements.
Author: Roland Fuss [aut, cre], Roman Hueppi [ctb]
Maintainer: Roland Fuss <roland.fuss@thuenen.de>

Diff between gasfluxes versions 0.6-2 dated 2024-01-08 and 0.6-4 dated 2024-07-16

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