Sun, 03 Mar 2024

Package msaenet updated to version 3.1.1 with previous version 3.1 dated 2019-05-17

Title: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Description: Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) <DOI:10.1080/00949655.2015.1016944>, with support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.
Author: Nan Xiao [aut, cre] , Qing-Song Xu [aut]
Maintainer: Nan Xiao <me@nanx.me>

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Package hrbrthemes updated to version 0.8.7 with previous version 0.8.0 dated 2020-03-06

Title: Additional Themes, Theme Components and Utilities for 'ggplot2'
Description: A compilation of extra 'ggplot2' themes, scales and utilities, including a spell check function for plot label fields and an overall emphasis on typography. A copy of the 'Google' font 'Roboto Condensed' is also included.
Author: Bob Rudis [aut, cre] , Patrick Kennedy [ctb], Philipp Reiner [ctb], Dan Wilson [ctb] , Xavier Adam [ctb], Google [cph] , IBM [cph] , Goldman Sachs [cph] , Impallari Type [cph] , Jacob Barnett [ctb], Thomas J. Leeper [ctb] , Joris Meys [ctb]
Maintainer: Bob Rudis <bob@rud.is>

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Package glmnetr updated to version 0.4-3 with previous version 0.4-2 dated 2024-02-08

Title: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description: Cross validation informed Relaxed LASSO, Artificial Neural Network (ANN), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Recursive Partitioning ('RPART') or step wise regression models are fit. Nested cross validation (or analogous for the random forest) is used to estimate and compare performances between these models. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied with the 'path=TRUE' options when calling glmnet() and cv.glmnet(). Within the glmnetr package the approach of path=TRUE is taken by default. When fitting not a relaxed lasso model but an elastic-net model, then the R-packages 'nestedcv' <https://cran.r-project.org/package=nestedcv>, 'glmnetSE' <http [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

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New package basemaps with initial version 0.0.6
Package: basemaps
Title: Accessing Spatial Basemaps in R
Version: 0.0.6
Depends: R (>= 3.5.0)
Date: 2024-03-03
Description: A lightweight package to access spatial basemaps from open sources such as 'OpenStreetMap', 'Carto', 'Mapbox' and others in R.
License: GPL-3
Encoding: UTF-8
Imports: sf, slippymath, httr, curl, terra, stars, pbapply, magick, utils, grDevices, methods
Suggests: raster, ggplot2, png, mapview, mapedit, testthat, covr
BugReports: https://github.com/16eagle/basemaps/issues
NeedsCompilation: no
Packaged: 2024-03-03 19:46:21 UTC; jas24ny
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <dev@schwalb-willmann.de>
Repository: CRAN
Date/Publication: 2024-03-04 00:10:03 UTC

More information about basemaps at CRAN
Permanent link

Package RESET updated to version 0.2.2 with previous version 0.2.1 dated 2023-08-20

Title: Reconstruction Set Test
Description: Contains logic for sample-level variable set scoring using randomized reduced rank reconstruction error. Frost, H. Robert (2023) "Reconstruction Set Test (RESET): a computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction error" <doi:10.1101/2023.04.03.535366>.
Author: H. Robert Frost [aut, cre]
Maintainer: H. Robert Frost <rob.frost@dartmouth.edu>

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Package greeks updated to version 1.3.5 with previous version 1.3.2 dated 2024-01-31

Title: Sensitivities of Prices of Financial Options and Implied Volatilities
Description: Methods to calculate sensitivities of financial option prices for European, geometric and arithmetic Asian, and American options, with various payoff functions in the Black Scholes model, and in more general jump diffusion models. A shiny app to interactively plot the results is included. Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017), Options, Futures, and Other Derivatives. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2023). European and Asian Greeks for exponential Lévy processes. <doi:10.1007/s11009-023-10014-5>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

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Package stacomiR updated to version 0.6.1 with previous version 0.6.0.7 dated 2022-07-18

Title: Fish Migration Monitoring
Description: Graphical outputs and treatment for a database of fish pass monitoring. It is a part of the 'STACOMI' open source project developed in France by the French Office for Biodiversity institute to centralize data obtained by fish pass monitoring. This version is available in French and English. See <http://stacomir.r-forge.r-project.org/> for more information on 'STACOMI'.
Author: Cedric Briand [aut, cre], Marion Legrand [aut], Beaulaton Laurent [ctb], Boulenger Clarisse [ctb], Lafage Denis [ctb], Grall Sebastien [ctb]
Maintainer: Cedric Briand <cedric.briand00@gmail.com>

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Package runner updated to version 0.4.4 with previous version 0.4.3 dated 2023-03-21

Title: Running Operations for Vectors
Description: Lightweight library for rolling windows operations. Package enables full control over the window length, window lag and a time indices. With a runner one can apply any R function on a rolling windows. The package eases work with equally and unequally spaced time series.
Author: Dawid Kaledkowski [aut, cre]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@gmail.com>

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Package bWGR updated to version 2.2.6 with previous version 2.2.5 dated 2023-11-21

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Author: Alencar Xavier [aut, cre] , William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut]
Maintainer: Alencar Xavier <alenxav@gmail.com>

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Package nodbi updated to version 0.10.3 with previous version 0.10.2 dated 2024-02-24

Title: 'NoSQL' Database Connector
Description: Simplified document database access and manipulation, providing a common API across supported 'NoSQL' databases 'Elasticsearch', 'CouchDB', 'MongoDB' as well as 'SQLite/JSON1', 'PostgreSQL', and 'DuckDB'.
Author: Ralf Herold [aut, cre] , Scott Chamberlain [aut] , Rich FitzJohn [aut], Jeroen Ooms [aut]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package UKFE updated to version 0.3.4 with previous version 0.3.3 dated 2024-01-21

Title: UK Flood Estimation
Description: Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 12.1. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Proposal of the extreme rank plot for extreme value analysis: with an emphasis on flood frequency studies", Hammond (2019, <doi:10.2166/nh.2019.157>). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood e [...truncated...]
Author: Anthony Hammond
Maintainer: Anthony Hammond <agqhammond@gmail.com>

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Package icr updated to version 0.6.5 with previous version 0.6.4 dated 2023-11-28

Title: Compute Krippendorff's Alpha
Description: Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and bootstrapped uncertainty estimates (Krippendorff 2004, ISBN:0761915443). The bootstrap routines are set up to make use of parallel threads where supported.
Author: Alexander Staudt [aut, cre], Pierre L'Ecuyer [ctb]
Maintainer: Alexander Staudt <staudtlex@live.de>

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Package wdnet updated to version 1.2.3 with previous version 1.2.2 dated 2023-09-06

Title: Weighted and Directed Networks
Description: Assortativity coefficients, centrality measures, and clustering coefficients for weighted and directed networks. Rewiring unweighted networks with given assortativity coefficients. Generating general preferential attachment networks.
Author: Yelie Yuan [aut, cre], Tiandong Wang [aut], Jun Yan [aut], Panpan Zhang [aut]
Maintainer: Yelie Yuan <yelie.yuan@uconn.edu>

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Package IP updated to version 0.1.3 with previous version 0.1.2 dated 2024-01-10

Title: Classes and Methods for 'IP' Addresses
Description: Provides S4 classes for Internet Protocol (IP) versions 4 and 6 addresses and efficient methods for 'IP' addresses comparison, arithmetic, bit manipulation and lookup. Both 'IPv4' and 'IPv6' arbitrary ranges are also supported as well as internationalized (IDN) domain lookup with and 'whois' query.
Author: Thomas Soubiran [aut, cre]
Maintainer: Thomas Soubiran <thomas.soubiran@univ-lille.fr>

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New package geoAr with initial version 1.0.0
Package: geoAr
Title: Argentina's Spatial Data Toolbox
Version: 1.0.0
Description: Collection of tools that facilitates data access and workflow for spatial analysis of Argentina. Includes historical information from censuses, administrative limits at different levels of aggregation, location of human settlements, among others. Since it is expected that the majority of users will be Spanish-speaking, the documentation of the package prioritizes this language, although an effort is made to also offer annotations in English.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, gt, knitr, rmarkdown, geofacet, ggplot2, tibble
Depends: R (>= 2.10)
Imports: dplyr, sf, httr, assertthat, attempt, tidyr, stringr, magrittr, curl, glue, leaflet, jsonlite, purrr
URL: https://github.com/PoliticaArgentina/geoAr
BugReports: https://github.com/PoliticaArgentina/geoAr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-03 00:36:15 UTC; UsuarioFundar
Author: Juan Pablo Ruiz Nicolini [aut, cre, cph] , Patricio Del Boca [aut], Juan Gabriel Juara [aut]
Maintainer: Juan Pablo Ruiz Nicolini <juanpabloruiznicolini@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-03 17:30:02 UTC

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Package KoboconnectR updated to version 1.2.2 with previous version 1.2.1 dated 2022-10-18

Title: Download Data from Kobotoolbox to R
Description: Wrapper for 'Kobotoolbox' APIs ver 2 mentioned at <https://support.kobotoolbox.org/api.html>, to download data from 'Kobotoolbox' to R. Small and simple package that adds immense convenience for the data professionals using 'Kobotoolbox'.
Author: Asitav Sen [aut, cre, cph]
Maintainer: Asitav Sen <hello@asitavsen.com>

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Package sgsR updated to version 1.4.5 with previous version 1.4.4 dated 2023-06-13

Title: Structurally Guided Sampling
Description: Structurally guided sampling (SGS) approaches for airborne laser scanning (ALS; LIDAR). Primary functions provide means to generate data-driven stratifications & methods for allocating samples. Intermediate functions for calculating and extracting important information about input covariates and samples are also included. Processing outcomes are intended to help forest and environmental management practitioners better optimize field sample placement as well as assess and augment existing sample networks in the context of data distributions and conditions. ALS data is the primary intended use case, however any rasterized remote sensing data can be used, enabling data-driven stratifications and sampling approaches.
Author: Tristan RH Goodbody [aut, cre, cph] , Nicholas C Coops [aut] , Martin Queinnec [aut]
Maintainer: Tristan RH Goodbody <goodbody.t@gmail.com>

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Package RWsearch updated to version 5.1.4 with previous version 5.0.5 dated 2022-02-22

Title: Lazy Search in R Packages, Task Views, CRAN, the Web. All-in-One Download
Description: Search by keywords in R packages, task views, CRAN, the web and display the results in the console or in txt, html or pdf files. Download the package documentation (html index, README, NEWS, pdf manual, vignettes, source code, binaries) with a single instruction. Visualize the package dependencies and CRAN checks. Compare the package versions, unload and install the packages and their dependencies in a safe order. Explore CRAN archives. Use the above functions for task view maintenance. Access web search engines from the console thanks to 80+ bookmarks. All functions accept standard and non-standard evaluation.
Author: Patrice Kiener [aut, cre]
Maintainer: Patrice Kiener <rpackages@inmodelia.com>

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Package rcdklibs updated to version 2.9 with previous version 2.8 dated 2022-09-25

Title: The CDK Libraries Packaged for R
Description: An R interface to the Chemistry Development Kit, a Java library for chemoinformatics. Given the size of the library itself, this package is not expected to change very frequently. To make use of the CDK within R, it is suggested that you use the 'rcdk' package. Note that it is possible to directly interact with the CDK using 'rJava'. However 'rcdk' exposes functionality in a more idiomatic way. The CDK library itself is released as LGPL and the sources can be obtained from <https://github.com/cdk/cdk>.
Author: Rajarshi Guha [aut] , Zachary Charlop-Powers [cre] , CDK Project [ctb, cph]
Maintainer: Zachary Charlop-Powers <zach.charlop.powers@gmail.com>

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New package geostan with initial version 0.5.4
Package: geostan
Title: Bayesian Spatial Analysis
Version: 0.5.4
Date: 2024-03-01
URL: https://connordonegan.github.io/geostan/
BugReports: https://github.com/ConnorDonegan/geostan/issues
Description: For Bayesian inference with spatial data, provides exploratory spatial analysis tools, multiple spatial model specifications, spatial model diagnostics, and special methods for inference with small area survey data (e.g., the America Community Survey (ACS)) and censored population health surveillance data. Models are pre-specified using the Stan programming language, a platform for Bayesian inference using Markov chain Monte Carlo (MCMC). References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Donegan (2021) <doi:10.31219/osf.io/3ey65>; Donegan (2022) <doi:10.21105/joss.04716>; Donegan, Chun and Hughes (2020) <doi:10.1016/j.spasta.2020.100450>; Donegan, Chun and Griffith (2021) <doi:10.3390/ijerph18136856>; Morris et al. (2019) <doi:10.1016/j.sste.2019.100301>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.4)
Imports: spdep (>= 1.0), sf (>= 1.0-10), ggplot2 (>= 3.0.0), methods, graphics, stats, MASS, truncnorm, signs, gridExtra, utils, Matrix (>= 1.3), Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools (>= 2.1.1)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0)
Suggests: testthat, knitr, rmarkdown, bayesplot
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-02 00:01:25 UTC; connor
Author: Connor Donegan [aut, cre] , Mitzi Morris [ctb]
Maintainer: Connor Donegan <connor.donegan@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-03 15:22:39 UTC

More information about geostan at CRAN
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Package FatTailsR updated to version 1.8-5 with previous version 1.8-0 dated 2021-03-12

Title: Kiener Distributions and Fat Tails in Finance
Description: Kiener distributions K1, K2, K3, K4 and K7 to characterize distributions with left and right, symmetric or asymmetric fat tails in market finance, neuroscience and other disciplines. Two algorithms to estimate with a high accuracy distribution parameters, quantiles, value-at-risk and expected shortfall. Include power hyperbolas and power hyperbolic functions.
Author: Patrice Kiener [aut, cre]
Maintainer: Patrice Kiener <fattailsr@inmodelia.com>

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Package cryptotrackr updated to version 1.2.0 with previous version 1.1.0 dated 2023-12-07

Title: An Interface to Crypto Data Sources
Description: Allows you to connect to data sources across the crypto ecosystem. This data can enable a range of activity such as portfolio tracking, programmatic trading, or industry analysis.
Author: Trevor French [aut, cre]
Maintainer: Trevor French <FrenchTrevor@outlook.com>

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Package ETAS updated to version 0.6.1 with previous version 0.5.1 dated 2022-11-28

Title: Modeling Earthquake Data Using 'ETAS' Model
Description: Fits the space-time Epidemic Type Aftershock Sequence ('ETAS') model to earthquake catalogs using a stochastic 'declustering' approach. The 'ETAS' model is a 'spatio-temporal' marked point process model and a special case of the 'Hawkes' process. The package is based on a Fortran program by 'Jiancang Zhuang' (available at <http://bemlar.ism.ac.jp/zhuang/software.html>), which is modified and translated into C++ and C such that it can be called from R. Parallel computing with 'OpenMP' is possible on supported platforms.
Author: Abdollah Jalilian [aut, cre] , Jiancang Zhuang [ctb]
Maintainer: Abdollah Jalilian <stat4aj@gmail.com>

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Package stochvol updated to version 3.2.4 with previous version 3.2.3 dated 2023-11-26

Title: Efficient Bayesian Inference for Stochastic Volatility (SV) Models
Description: Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models with and without asymmetry (leverage) via Markov chain Monte Carlo (MCMC) methods. Methodological details are given in Kastner and Frühwirth-Schnatter (2014) <doi:10.1016/j.csda.2013.01.002> and Hosszejni and Kastner (2019) <doi:10.1007/978-3-030-30611-3_8>; the most common use cases are described in Hosszejni and Kastner (2021) <doi:10.18637/jss.v100.i12> and Kastner (2016) <doi:10.18637/jss.v069.i05> and the package examples.
Author: Darjus Hosszejni [aut, cre] , Gregor Kastner [aut]
Maintainer: Darjus Hosszejni <darjus.hosszejni@icloud.com>

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Package lphom updated to version 0.3.5-5 with previous version 0.3.5-4 dated 2024-02-20

Title: Ecological Inference by Linear Programming under Homogeneity
Description: Provides a bunch of algorithms based on linear programming for estimating, under the homogeneity hypothesis, RxC ecological contingency tables (or vote transition matrices) using mainly aggregate data (from voting units). References: Pavía and Romero (2022) <doi:10.1177/00491241221092725>. Pavía (2023) <doi:10.1007/s43545-023-00658-y>. Pavía and Romero (2024) <doi:10.1093/jrsssa/qnae013>. Pavía (2024) A local convergent ecological inference algorithm for RxC tables. Pavía and Penadés (2024). A bottom-up approach for ecological inference. Romero, Pavía, Martín and Romero (2020) <doi:10.1080/02664763.2020.1804842>. Acknowledgements: The authors wish to thank Consellería de Educación, Universidades y Empleo, Generalitat Valenciana (grant AICO/2021/257) and Ministerio de Economía e Innovación (grant PID2021-128228NB-I00) for supporting this research.
Author: Jose M. Pavia [aut, cre] , Rafael Romero [aut]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

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Package rsimsum updated to version 0.13.0 with previous version 0.11.3 dated 2022-08-17

Title: Analysis of Simulation Studies Including Monte Carlo Error
Description: Summarise results from simulation studies and compute Monte Carlo standard errors of commonly used summary statistics. This package is modelled on the 'simsum' user-written command in 'Stata' (White I.R., 2010 <https://www.stata-journal.com/article.html?article=st0200>), further extending it with additional performance measures and functionality.
Author: Alessandro Gasparini [aut, cre] , Ian R. White [aut]
Maintainer: Alessandro Gasparini <alessandro@ellessenne.xyz>

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Package RAINBOWR updated to version 0.1.35 with previous version 0.1.33 dated 2023-09-12

Title: Genome-Wide Association Study with SNP-Set Methods
Description: By using 'RAINBOWR' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods. This package can also be applied to haplotype-based GWAS (Genome-Wide Association Study). Users can test not only additive effects but also dominance and epistatic effects. In detail, please check our paper on PLOS Computational Biology: Kosuke Hamazaki and Hiroyoshi Iwata (2020) <doi:10.1371/journal.pcbi.1007663>.
Author: Kosuke Hamazaki [aut, cre], Hiroyoshi Iwata [aut, ctb]
Maintainer: Kosuke Hamazaki <hamazaki@ut-biomet.org>

Diff between RAINBOWR versions 0.1.33 dated 2023-09-12 and 0.1.35 dated 2024-03-03

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Package RcppArmadillo updated to version 0.12.8.1.0 with previous version 0.12.8.0.0 dated 2024-02-08

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package quickcode updated to version 0.7 with previous version 0.6 dated 2023-12-03

Title: A Compilation of Some Frequently Used R Functions
Description: The NOT functions and a simple compilation of various functions for easy usage. Shorthand code to save memory usage.
Author: Obinna Obianom [aut, cre], Brice Richard [aut]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

Diff between quickcode versions 0.6 dated 2023-12-03 and 0.7 dated 2024-03-03

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Package PolynomF updated to version 2.0-8 with previous version 2.0-5 dated 2022-05-01

Title: Polynomials in R
Description: Implements univariate polynomial operations in R, including polynomial arithmetic, finding zeros, plotting, and some operations on lists of polynomials.
Author: Bill Venables, with contribution by Kurt Hornik, Georgi Boshnakov and Brian Ripley.
Maintainer: Bill Venables <Bill.Venables@gmail.com>

Diff between PolynomF versions 2.0-5 dated 2022-05-01 and 2.0-8 dated 2024-03-03

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