Thu, 30 Jan 2025

Package torch updated to version 0.14.0 with previous version 0.13.0 dated 2024-05-21

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], Hamada S. Badr [ctb], Sebastian Fischer [ctb], Maximilian Pichler [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

Diff between torch versions 0.13.0 dated 2024-05-21 and 0.14.0 dated 2025-01-30

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Package chattr updated to version 0.2.1 with previous version 0.2.0 dated 2024-07-29

Title: Interact with Large Language Models in 'RStudio'
Description: Enables user interactivity with large-language models ('LLM') inside the 'RStudio' integrated development environment (IDE). The user can interact with the model using the 'shiny' app included in this package, or directly in the 'R' console. It comes with back-ends for 'OpenAI', 'GitHub' 'Copilot', and 'LlamaGPT'.
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar@posit.co>

Diff between chattr versions 0.2.0 dated 2024-07-29 and 0.2.1 dated 2025-01-30

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New package jobqueue with initial version 1.0.1
Package: jobqueue
Title: Run Interruptible Code Asynchronously
Version: 1.0.1
Date: 2025-01-28
Description: Takes an R expression and returns a Job object with a $stop() method which can be called to terminate the background job. Also provides timeouts and other mechanisms for automatically terminating a background job. The result of the expression is available synchronously via $result or asynchronously with callbacks or through the 'promises' package framework.
URL: https://cmmr.github.io/jobqueue/, https://github.com/cmmr/jobqueue
BugReports: https://github.com/cmmr/jobqueue/issues
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.2.0)
Imports: cli, later, magrittr, parallelly, promises, ps, R6, rlang, semaphore, utils
Suggests: glue, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-29 21:36:05 UTC; Daniel
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-30 19:20:02 UTC

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New package hrf with initial version 0.1.3
Package: hrf
Title: Hemodynamic Response Function
Version: 0.1.3
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Computes the hemodynamic response function (HRF) for task functional magnetic resonance imaging (fMRI) data. Also includes functions for constructing a design matrix from task fMRI event timings, and for comparing multiple design matrices in a general linear model (GLM). A wrapper function is provided for GLM analysis of CIFTI-format data. Lastly, there are supporting functions which provide visual summaries of the HRFs and design matrices.
License: GPL-3
URL: https://github.com/mandymejia/hrf
BugReports: https://github.com/mandymejia/hrf/issues
Depends: R (>= 3.6.0)
Imports: car, ciftiTools (>= 0.15.0), fMRItools, Matrix, matrixStats, stats
Suggests: covr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tidyr, spelling
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-01-29 20:47:30 UTC; ddpham
Author: Amanda Mejia [aut, cre], Damon Pham [ctb] , David Bolin [ctb], Yu Yue [ctb], Daniel Spencer [aut] , Sarah Ryan [ctb]
Repository: CRAN
Date/Publication: 2025-01-30 19:10:02 UTC

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New package shrinkGPR with initial version 1.0.0
Package: shrinkGPR
Title: Scalable Gaussian Process Regression with Hierarchical Shrinkage Priors
Version: 1.0.0
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>
Description: Efficient variational inference methods for fully Bayesian Gaussian Process Regression (GPR) models with hierarchical shrinkage priors, including the triple gamma prior for effective variable selection and covariance shrinkage in high-dimensional settings. The package leverages normalizing flows to approximate complex posterior distributions. For details on implementation, see Knaus (2025) <doi:10.48550/arXiv.2501.13173>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: gsl, progress, rlang, utils, methods, torch
Suggests: testthat (>= 3.0.0)
SystemRequirements: torch backend, for installation guide see https://cran.r-project.org/web/packages/torch/vignettes/installation.html
NeedsCompilation: no
Packaged: 2025-01-29 16:42:54 UTC; Peter
Author: Peter Knaus [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-30 19:00:02 UTC

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New package massProps with initial version 0.2.0
Package: massProps
Title: Calculate Mass Properties and Uncertainties of Tree Structures
Version: 0.2.0
Description: Recursively calculates mass properties (mass, center of mass, moments and products of inertia, and optionally, their uncertainties) for arbitrary decomposition trees. R. L. Zimmerman, J. H. Nakai. (2005) <https://www.sawe.org/product/paper-3360/>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rollupTree (>= 0.1.0)
Depends: R (>= 3.5)
LazyData: true
Suggests: igraph, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://jsjuni.github.io/massProps/, https://github.com/jsjuni/massProps
BugReports: https://github.com/jsjuni/massProps/issues
NeedsCompilation: no
Packaged: 2025-01-29 18:42:33 UTC; sjenkins
Author: James Steven Jenkins [aut, cre, cph]
Maintainer: James Steven Jenkins <sjenkins@studioj.us>
Repository: CRAN
Date/Publication: 2025-01-30 19:00:05 UTC

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New package javateak with initial version 1.0
Package: javateak
Title: Javanese Teak Above Ground Biomass Estimation
Description: Simplifies the process of estimating above ground biomass components for teak trees using a few basic inputs, based on the equations taken from the journal "Allometric equations for estimating above ground biomass and leaf area of planted teak (Tectona grandis) forests under agroforestry management in East Java, Indonesia" (Purwanto & Shiba, 2006) <doi:10.60409/forestresearch.76.0_1>. This function is most reliable when applied to trees from the same region where the equations were developed, specifically East Java, Indonesia. This function help to estimate the stem diameter at the lowest major living branch (DB) using the stem diameter at breast height with R^2 = 0.969. Estimate the branch dry weight (WB) using the stem diameter at breast height and tree height (R^2 = 0.979). Estimate the stem weight (WS) using the stem diameter at breast height and tree height (R^2 = 0.997. Also estimate the leaf dry weight (WL) using the stem diameter at the lowest major living branch (R^2 [...truncated...]
Version: 1.0
Date: 2025-01-19
Maintainer: Yudistira Adyatama <yudistiraadyatama@gmail.com>
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-25 14:55:38 UTC; hp
Author: Yudistira Adyatama [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-01-30 18:20:01 UTC

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New package ggfootball with initial version 0.1.0
Package: ggfootball
Title: Plotting Expected Goals (xG) Stats with Understat Data
Version: 0.1.0
Description: Scrapes shots data from 'Understat' <https://understat.com/> and visualizes it using interactive plots: - A detailed shot map displaying the location, type, and xG value of shots taken by both teams. - An xG timeline chart showing the cumulative xG for each team over time, annotated with the details of scored goals.
License: GPL (>= 3)
Encoding: UTF-8
Imports: base64enc, dplyr (>= 1.0.0), gdtools, gfonts, ggiraph, ggplot2, ggsoccer, glue, highcharter, utils, rvest, stringi, stringr, qdapRegex, jsonlite, readr, tibble
URL: http://aymennasri.me/ggfootball/
BugReports: https://github.com/aymennasri/ggfootball/issues
NeedsCompilation: no
Packaged: 2025-01-29 09:12:16 UTC; aymen
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>
Repository: CRAN
Date/Publication: 2025-01-30 18:40:02 UTC

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New package distanceHD with initial version 1.0
Package: distanceHD
Title: Distance Metrics for High-Dimensional Clustering
Version: 1.0
Date: 2025-01-25
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>
Description: We provide three distance metrics for measuring the separation between two clusters in high-dimensional spaces. The first metric is the centroid distance, which calculates the Euclidean distance between the centers of the two groups. The second is a ridge Mahalanobis distance, which incorporates a ridge correction constant, alpha, to ensure that the covariance matrix is invertible. The third metric is the maximal data piling distance, which computes the orthogonal distance between the affine spaces spanned by each class. These three distances are asymptotically interconnected and are applicable in tasks such as discrimination, clustering, and outlier detection in high-dimensional settings.
License: GPL (>= 2)
Depends: R (>= 3.5.0), MASS
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-29 15:40:10 UTC; jungae
Author: Jung Ae Lee [aut, cre], Jeonyoun Ahn [aut]
Repository: CRAN
Date/Publication: 2025-01-30 18:50:02 UTC

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Package tsibble updated to version 1.1.6 with previous version 1.1.5 dated 2024-06-27

Title: Tidy Temporal Data Frames and Tools
Description: Provides a 'tbl_ts' class (the 'tsibble') for temporal data in an data- and model-oriented format. The 'tsibble' provides tools to easily manipulate and analyse temporal data, such as filling in time gaps and aggregating over calendar periods.
Author: Earo Wang [aut, cre] , Di Cook [aut, ths] , Rob Hyndman [aut, ths] , Mitchell O'Hara-Wild [aut] , Tyler Smith [ctb], Wil Davis [ctb]
Maintainer: Earo Wang <earo.wang@gmail.com>

Diff between tsibble versions 1.1.5 dated 2024-06-27 and 1.1.6 dated 2025-01-30

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Package SIAtools updated to version 0.1.2 with previous version 0.1.1 dated 2024-06-20

Title: 'ShinyItemAnalysis' Modules Development Toolkit
Description: A comprehensive suite of functions designed for constructing and managing 'ShinyItemAnalysis' modules, supplemented with detailed guides, ready-to-use templates, linters, and tests. This package allows developers to seamlessly create and integrate one or more modules into their existing packages or to start a new module project from scratch.
Author: Jan Netik [cre, aut] , Patricia Martinkova [aut]
Maintainer: Jan Netik <netik@cs.cas.cz>

Diff between SIAtools versions 0.1.1 dated 2024-06-20 and 0.1.2 dated 2025-01-30

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Package BSTZINB updated to version 2.0.0 with previous version 1.0.0 dated 2024-10-31

Title: Association Among Disease Counts and Socio-Environmental Factors
Description: Estimation of association between disease or death counts (e.g. COVID-19) and socio-environmental risk factors using a zero-inflated Bayesian spatiotemporal model. Non-spatiotemporal models and/or models without zero-inflation are also included for comparison. Functions to produce corresponding maps are also included. See Chakraborty et al. (2022) <doi:10.1007/s13253-022-00487-1> for more details on the method.
Author: Suman Majumder [cre, aut, cph], Yoon-Bae Jun [aut, cph], Sounak Chakraborty [ctb], Chae-Young Lim [ctb], Tanujit Dey [ctb]
Maintainer: Suman Majumder <smajumd2@gmail.com>

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New package adplots with initial version 0.1.0
Package: adplots
Title: Ad-Plot and Ud-Plot for Visualizing Distributional Properties and Normality
Version: 0.1.0
Maintainer: Uditha Amarananda Wijesuriya <u.wijesuriya@usi.edu>
Description: The empirical cumulative average deviation function introduced by the author is utilized to develop both Ad- and Ud-plots. The Ad-plot can identify symmetry, skewness, and outliers of the data distribution, including anomalies. The Ud-plot created by slightly modifying Ad-plot is exceptional in assessing normality, outperforming normal QQ-plot, normal PP-plot, and their derivations. The d-value that quantifies the degree of proximity between the Ud-plot and the graph of the estimated normal density function helps guide to make decisions on confirmation of normality. Full description of this methodology can be found in the article by Wijesuriya (2025) <doi:10.1080/03610926.2024.2440583>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-28 19:09:26 UTC; uwijesuriy
Author: Uditha Amarananda Wijesuriya [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-30 17:10:02 UTC

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Package parallelly updated to version 1.42.0 with previous version 1.41.0 dated 2024-12-18

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph] , Mike Cheng [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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New package BKT with initial version 0.0.1
Package: BKT
Title: Bayesian Knowledge Tracing Model
Version: 0.0.1
Description: Fitting, cross-validating, and predicting with Bayesian Knowledge Tracing (BKT) models. It is designed for analyzing educational datasets to trace student knowledge over time. The package includes functions for fitting BKT models, evaluating their performance using various metrics, and making predictions on new data. It provides the same functionality as the Python package pyBKT authored by Bulut et al. (2023, <doi:10.3390/psych5030050>) and pyBKT can be accessed via the site at <https://github.com/CAHLR/pyBKT>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: RCurl, parallel, methods, stats, utils,
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-28 16:08:30 UTC; zby15
Author: Yuhao Yuan [aut, cre], Biying Zhou [aut], Feng Ji [aut]
Maintainer: Yuhao Yuan <yuanyuhaoapply@163.com>
Repository: CRAN
Date/Publication: 2025-01-30 16:50:06 UTC

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Package BCDAG updated to version 1.1.2 with previous version 1.1.1 dated 2024-06-14

Title: Bayesian Structure and Causal Learning of Gaussian Directed Graphs
Description: A collection of functions for structure learning of causal networks and estimation of joint causal effects from observational Gaussian data. Main algorithm consists of a Markov chain Monte Carlo scheme for posterior inference of causal structures, parameters and causal effects between variables. References: F. Castelletti and A. Mascaro (2021) <doi:10.1007/s10260-021-00579-1>, F. Castelletti and A. Mascaro (2022) <doi:10.48550/arXiv.2201.12003>.
Author: Federico Castelletti [aut], Alessandro Mascaro [aut, cre, cph]
Maintainer: Alessandro Mascaro <alessandro.mascaro@upf.edu>

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Package agricolaeplotr updated to version 0.6.1 with previous version 0.6.0 dated 2025-01-22

Title: Visualization of Design of Experiments from the 'agricolae' Package
Description: Visualization of Design of Experiments from the 'agricolae' package with 'ggplot2' framework The user provides an experiment design from the 'agricolae' package, calls the corresponding function and will receive a visualization with 'ggplot2' based functions that are specific for each design. As there are many different designs, each design is tested on its type. The output can be modified with standard 'ggplot2' commands or with other packages with 'ggplot2' function extensions.
Author: Jens Harbers [aut, cre]
Maintainer: Jens Harbers <jensharbers@gmail.com>

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Package freegroup updated to version 1.1-9 with previous version 1.1-8 dated 2024-01-13

Title: The Free Group
Description: The free group in R; juxtaposition is represented by a plus. Includes inversion, multiplication by a scalar, group-theoretic power operation, and Tietze forms. To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2212.05883>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package datasetjson updated to version 0.3.0 with previous version 0.2.0 dated 2024-01-09

Title: Read and Write CDISC Dataset JSON Files
Description: Read, construct and write CDISC (Clinical Data Interchange Standards Consortium) Dataset JSON (JavaScript Object Notation) files, while validating per the Dataset JSON schema file, as described in CDISC (2023) <https://www.cdisc.org/standards/data-exchange/dataset-json>.
Author: Mike Stackhouse [aut, cre] , Nicholas Masel [aut]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

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Package cgmanalysis updated to version 3.0 with previous version 2.7.7 dated 2023-10-20

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <timothy.vigers@cuanschutz.edu>

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Package gammi updated to version 0.2 with previous version 0.1 dated 2024-09-15

Title: Generalized Additive Mixed Model Interface
Description: An interface for fitting generalized additive models (GAMs) and generalized additive mixed models (GAMMs) using the 'lme4' package as the computational engine, as described in Helwig (2024) <doi:10.3390/stats7010003>. Supports default and formula methods for model specification, additive and tensor product splines for capturing nonlinear effects, and automatic determination of spline type based on the class of each predictor. Includes an S3 plot method for visualizing the (nonlinear) model terms, an S3 predict method for forming predictions from a fit model, and an S3 summary method for conducting significance testing using the Bayesian interpretation of a smoothing spline.
Author: Nathaniel E. Helwig [aut, cre]
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package epiR updated to version 2.0.80 with previous version 2.0.78 dated 2024-12-09

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package doBy updated to version 4.6.25 with previous version 4.6.24 dated 2024-10-07

Title: Groupwise Statistics, LSmeans, Linear Estimates, Utilities
Description: Utility package containing: 1) Facilities for working with grouped data: 'do' something to data stratified 'by' some variables. 2) LSmeans (least-squares means), general linear estimates. 3) Restrict functions to a smaller domain. 4) Miscellaneous other utilities.
Author: Ulrich Halekoh [aut, cph], Soeren Hoejsgaard [aut, cre, cph]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

Diff between doBy versions 4.6.24 dated 2024-10-07 and 4.6.25 dated 2025-01-30

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Package DatabaseConnector updated to version 6.4.0 with previous version 6.3.3 dated 2025-01-15

Title: Connecting to Various Database Platforms
Description: An R 'DataBase Interface' ('DBI') compatible interface to various database platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server', 'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Impala', 'Google BigQuery', 'Snowflake', 'Spark', 'SQLite', and 'InterSystems IRIS'). Also includes support for fetching data as 'Andromeda' objects. Uses either 'Java Database Connectivity' ('JDBC') or other 'DBI' drivers to connect to databases.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Observational Health Data Science and Informatics [cph], Microsoft Inc. [cph] , PostgreSQL Global Development Group [cph] , Oracle Inc. [cph] , Amazon Inc. [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between DatabaseConnector versions 6.3.3 dated 2025-01-15 and 6.4.0 dated 2025-01-30

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Package weyl updated to version 0.0-6 with previous version 0.0-5 dated 2024-07-03

Title: The Weyl Algebra
Description: A suite of routines for Weyl algebras. Notation follows Coutinho (1995, ISBN 0-521-55119-6, "A Primer of Algebraic D-Modules"). Uses 'disordR' discipline (Hankin 2022 <doi:10.48550/arXiv.2210.03856>). To cite the package in publications, use Hankin 2022 <doi:10.48550/arXiv.2212.09230>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package sstvars updated to version 1.1.3 with previous version 1.1.2 dated 2025-01-07

Title: Toolkit for Reduced Form and Structural Smooth Transition Vector Autoregressive Models
Description: Maximum likelihood estimation of smooth transition vector autoregressive models with various types of transition weight functions, conditional distributions, and identification methods. Constrained estimation with various types of constraints is available. Residual based model diagnostics, forecasting, simulations, and calculation of impulse response functions, generalized impulse response functions, and generalized forecast error variance decompositions. See Heather Anderson, Farshid Vahid (1998) <doi:10.1016/S0304-4076(97)00076-6>, Helmut Lütkepohl, Aleksei Netšunajev (2017) <doi:10.1016/j.jedc.2017.09.001>, Markku Lanne, Savi Virolainen (2024) <doi:10.48550/arXiv.2403.14216>, Savi Virolainen (2024) <doi:10.48550/arXiv.2404.19707>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

Diff between sstvars versions 1.1.2 dated 2025-01-07 and 1.1.3 dated 2025-01-30

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Package simer updated to version 0.9.0.6 with previous version 0.9.0.5 dated 2024-09-17

Title: Data Simulation for Life Science and Breeding
Description: Data simulator including genotype, phenotype, pedigree, selection and reproduction in R. It simulates most of reproduction process of animals or plants and provides data for GS (Genomic Selection), GWAS (Genome-Wide Association Study), and Breeding. For ADI model, please see Kao C and Zeng Z (2002) <doi:10.1093/genetics/160.3.1243>. For build.cov, please see B. D. Ripley (1987) <ISBN:9780470009604>.
Author: Dong Yin [aut], Xuanning Zhang [aut], Lilin Yin [aut], Haohao Zhang [aut], Zhenshuang Tang [aut], Jingya Xu [aut], Xiaohui Yuan [aut], Xiang Zhou [aut], Xinyun Li [aut], Shuhong Zhao [aut], Xiaolei Liu [cre, aut, cph]
Maintainer: Xiaolei Liu <xll198708@gmail.com>

Diff between simer versions 0.9.0.5 dated 2024-09-17 and 0.9.0.6 dated 2025-01-30

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Package SMNlmec updated to version 1.0.0 with previous version 0.1.0 dated 2024-11-26

Title: Scale Mixture of Normal Distribution in Linear Mixed-Effects Model
Description: Bayesian analysis of censored linear mixed-effects models that replace Gaussian assumptions with a flexible class of distributions, such as the scale mixture of normal family distributions, considering a damped exponential correlation structure which was employed to account for within-subject autocorrelation among irregularly observed measures. For more details, see Kelin Zhong, Fernanda L. Schumacher, Luis M. Castro, Victor H. Lachos (2025) <doi:10.1002/sim.10295>.
Author: Kelin Zhong [aut, cre], Fernanda L. Schumacher [aut], Luis M. Castro [aut], Victor H. Lachos [aut], Jalmar M.F. Carrasco [aut]
Maintainer: Kelin Zhong <kelin.zhong@uconn.edu>

Diff between SMNlmec versions 0.1.0 dated 2024-11-26 and 1.0.0 dated 2025-01-30

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Package LMPdata updated to version 0.2.0 with previous version 0.1.0 dated 2024-07-18

Title: Easy Import of the EU Labour Market Policy Data
Description: European Commission's Labour Market Policy (LMP) database (<https://webgate.ec.europa.eu/empl/redisstat/databrowser/explore/all/lmp?lang=en&display=card&sort=category>) provides information on labour market interventions, which are government actions to help and support the unemployed and other disadvantaged groups in the transition from unemployment or inactivity to work. It covers the EU countries and Norway. This package provides functions for downloading and importing the LMP data and metadata (codelists).
Author: Aleksander Rutkowski [aut, cre]
Maintainer: Aleksander Rutkowski <alek.rutkowski@gmail.com>

Diff between LMPdata versions 0.1.0 dated 2024-07-18 and 0.2.0 dated 2025-01-30

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Package LearnNonparam updated to version 1.2.7 with previous version 1.2.6 dated 2024-12-17

Title: 'R6'-Based Flexible Framework for Permutation Tests
Description: Implements non-parametric tests from Higgins (2004, ISBN:0534387756), including tests for one sample, two samples, k samples, paired comparisons, blocked designs, trends and association. Built with 'Rcpp' for efficiency and 'R6' for flexible, object-oriented design, the package provides a unified framework for performing or creating custom permutation tests.
Author: Yan Du [aut, cre]
Maintainer: Yan Du <isduyan@outlook.com>

Diff between LearnNonparam versions 1.2.6 dated 2024-12-17 and 1.2.7 dated 2025-01-30

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Package PPtreeregViz (with last version 2.0.5) was removed from CRAN

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

2022-12-23 2.0.5

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Package shapr (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:

2025-01-16 1.0.1
2023-05-04 0.2.2
2023-02-27 0.2.1
2021-01-28 0.2.0
2021-01-21 0.1.4

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