Thu, 06 Feb 2025

Package stoppingrule updated to version 0.5.2 with previous version 0.5.1 dated 2024-12-05

Title: Create and Evaluate Stopping Rules for Safety Monitoring
Description: Provides functions for creating, displaying, and evaluating stopping rules for safety monitoring in clinical studies.
Author: Michael J. Martens [aut, cre], Qinghua Lian [aut], Brent R. Logan [ctb]
Maintainer: Michael J. Martens <mmartens@mcw.edu>

Diff between stoppingrule versions 0.5.1 dated 2024-12-05 and 0.5.2 dated 2025-02-06

 DESCRIPTION            |    8 +++----
 MD5                    |   54 ++++++++++++++++++++++++-------------------------
 R/OC.rule.R            |    3 +-
 R/OC.rule.bin.R        |    3 +-
 R/OC.rule.surv.R       |    6 ++---
 R/calc.rule.R          |    3 +-
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 R/lines.rule.bin.R     |    3 +-
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 28 files changed, 87 insertions(+), 66 deletions(-)

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Package galah updated to version 2.1.1 with previous version 2.1.0 dated 2024-11-18

Title: Biodiversity Data from the GBIF Node Network
Description: The Global Biodiversity Information Facility ('GBIF', <https://www.gbif.org>) sources data from an international network of data providers, known as 'nodes'. Several of these nodes - the "living atlases" (<https://living-atlases.gbif.org>) - maintain their own web services using software originally developed by the Atlas of Living Australia ('ALA', <https://www.ala.org.au>). 'galah' enables the R community to directly access data and resources hosted by 'GBIF' and its partner nodes.
Author: Martin Westgate [aut, cre], Dax Kellie [aut], Matilda Stevenson [aut], Peggy Newman [aut]
Maintainer: Martin Westgate <martin.westgate@csiro.au>

Diff between galah versions 2.1.0 dated 2024-11-18 and 2.1.1 dated 2025-02-06

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 76 files changed, 869 insertions(+), 636 deletions(-)

More information about galah at CRAN
Permanent link

Package bndesr updated to version 1.0.4 with previous version 1.0.3 dated 2023-06-06

Title: Access Data from the Brazilian Development Bank (BNDES)
Description: Allows access to data on BNDES disbursements and contracts since 1995. The package makes it easy to import data from the bank into R.<https://www.bndes.gov.br/SiteBNDES/bndes/bndes_en>.
Author: Igor Laltuf [aut, cre]
Maintainer: Igor Laltuf <igorlaltuf@gmail.com>

Diff between bndesr versions 1.0.3 dated 2023-06-06 and 1.0.4 dated 2025-02-06

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 bndesr-1.0.4/bndesr/R/query_bndespar_desimbursements.R |   31 ++++++++++----
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 bndesr-1.0.4/bndesr/R/query_desimbursements.R          |   36 ++++++++++++++++-
 8 files changed, 108 insertions(+), 50 deletions(-)

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Package SomaDataIO updated to version 6.2.0 with previous version 6.1.0 dated 2024-03-26

Title: Input/Output 'SomaScan' Data
Description: Load and export 'SomaScan' data via the 'Standard BioTools, Inc.' structured text file called an ADAT ('*.adat'). For file format see <https://github.com/SomaLogic/SomaLogic-Data/blob/main/README.md>. The package also exports auxiliary functions for manipulating, wrangling, and extracting relevant information from an ADAT object once in memory.
Author: Stu Field [aut] , Caleb Scheidel [cre], Standard BioTools, Inc. [cph, fnd]
Maintainer: Caleb Scheidel <calebjscheidel@gmail.com>

Diff between SomaDataIO versions 6.1.0 dated 2024-03-26 and 6.2.0 dated 2025-02-06

 DESCRIPTION                              |   39 +++++----
 LICENSE                                  |    4 
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Permanent link

New package shapr with initial version 1.0.2
Package: shapr
Version: 1.0.2
Title: Prediction Explanation with Dependence-Aware Shapley Values
Description: Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements methods which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values. An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repository.
URL: https://norskregnesentral.github.io/shapr/, https://github.com/NorskRegnesentral/shapr/
BugReports: https://github.com/NorskRegnesentral/shapr/issues
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
Language: en-US
Depends: R (>= 3.5.0)
Imports: stats, data.table (>= 1.15.0), Rcpp (>= 0.12.15), Matrix, future.apply, methods
Suggests: ranger, xgboost, mgcv, testthat (>= 3.0.0), knitr, rmarkdown, roxygen2, ggplot2, gbm, party, partykit, waldo, progressr, future, ggbeeswarm, vdiffr, forecast, torch, GGally, progress, coro, parsnip, recipes, workflows, tune, dials, yardstick, hardhat, rsample, rlang, cli
LinkingTo: RcppArmadillo, Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-30 11:54:59 UTC; jullum
Author: Martin Jullum [cre, aut] , Lars Henry Berge Olsen [aut] , Annabelle Redelmeier [aut], Jon Lachmann [aut] , Nikolai Sellereite [aut] , Anders Loeland [ctb], Jens Christian Wahl [ctb], Camilla Lingjaerde [ctb], Norsk Regnesentral [cph, fnd]
Maintainer: Martin Jullum <Martin.Jullum@nr.no>
Repository: CRAN
Date/Publication: 2025-02-07 00:40:02 UTC

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New package params with initial version 0.7.7
Package: params
Title: Simplify Parameters
Description: An interface to simplify organizing parameters used in a package, using external configuration files. This attempts to provide a cleaner alternative to options().
Version: 0.7.7
Depends: R (>= 3.0.2), whisker
Imports: utils, RcppTOML, glue, readr (>= 1.4.0), purrr
Suggests: openxlsx, readxl, testthat, knitr, utf8
License: GPL-2
URL: https://github.com/sahilseth/params
BugReports: https://github.com/sahilseth/params/issues
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-02-06 19:40:55 UTC; seths3
Author: Sahil Seth [aut, cre], Yihui Xie [ctb]
Maintainer: Sahil Seth <me@sahilseth.com>
Repository: CRAN
Date/Publication: 2025-02-07 00:40:07 UTC

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New package MBNMAdose with initial version 0.5.0
Package: MBNMAdose
Title: Dose-Response MBNMA Models
Version: 0.5.0
Language: en-GB
Date: 2025-02-06
URL: https://hugaped.github.io/MBNMAdose/
Maintainer: Hugo Pedder <hugopedder@gmail.com>
Description: Fits Bayesian dose-response model-based network meta-analysis (MBNMA) that incorporate multiple doses within an agent by modelling different dose-response functions, as described by Mawdsley et al. (2016) <doi:10.1002/psp4.12091>. By modelling dose-response relationships this can connect networks of evidence that might otherwise be disconnected, and can improve precision on treatment estimates. Several common dose-response functions are provided; others may be added by the user. Various characteristics and assumptions can be flexibly added to the models, such as shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting at the treatment level.
License: GPL-3
Depends: R (>= 3.0.2)
Imports: grDevices, stats, graphics, utils, scales, dplyr (>= 0.7.4), R2jags (>= 0.5-7), rjags (>= 4-8), magrittr (>= 1.5), checkmate (>= 1.8.5), Rdpack (>= 0.11-0), igraph (>= 2.0.1.1), ggplot2 (>= 2.2.1), reshape2 (>= 1.4.3)
Suggests: overlapping (>= 1.5.0), RColorBrewer (>= 1.1-2), mcmcplots (>= 0.4.3), coda (>= 0.19-4), testthat (>= 1.0.2), crayon (>= 1.3.4), forestplot (>= 1.10), ggdist (>= 2.4.0), zoo (>= 1.8-8), lspline (>= 1.0-0), formatR (>= 1.14), netmeta, knitr, rmarkdown
SystemRequirements: JAGS (>= 4.3.0) (https://mcmc-jags.sourceforge.net/)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-06 19:58:33 UTC; hp17602
Author: Hugo Pedder [aut, cre] , Adil Karim [ctb]
Repository: CRAN
Date/Publication: 2025-02-07 00:40:23 UTC

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Package geostatsp updated to version 2.0.8 with previous version 2.0.6 dated 2024-02-20

Title: Geostatistical Modelling with Likelihood and Bayes
Description: Geostatistical modelling facilities using 'SpatRaster' and 'SpatVector' objects are provided. Non-Gaussian models are fit using 'INLA', and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>. The 'RandomFields' package is available at <https://www.wim.uni-mannheim.de/schlather/publications/software>.
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between geostatsp versions 2.0.6 dated 2024-02-20 and 2.0.8 dated 2025-02-06

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Package ellmer updated to version 0.1.1 with previous version 0.1.0 dated 2025-01-09

Title: Chat with Large Language Models
Description: Chat with large language models from a range of providers including 'Claude' <https://claude.ai>, 'OpenAI' <https://chatgpt.com>, and more. Supports streaming, asynchronous calls, tool calling, and structured data extraction.
Author: Hadley Wickham [aut, cre] , Joe Cheng [aut], Aaron Jacobs [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between ellmer versions 0.1.0 dated 2025-01-09 and 0.1.1 dated 2025-02-06

 DESCRIPTION                                  |   58 +++---
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More information about ellmer at CRAN
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Package sreg updated to version 1.0.1 with previous version 1.0.0 dated 2024-06-25

Title: Stratified Randomized Experiments
Description: Estimate average treatment effects (ATEs) in stratified randomized experiments. 'sreg' is designed to accommodate scenarios with multiple treatments and cluster-level treatment assignments, and accommodates optimal linear covariate adjustment based on baseline observable characteristics. 'sreg' computes estimators and standard errors based on Bugni, Canay, Shaikh (2018) <doi:10.1080/01621459.2017.1375934>; Bugni, Canay, Shaikh, Tabord-Meehan (2024+) <doi:10.48550/arXiv.2204.08356>; and Jiang, Linton, Tang, Zhang (2023+) <doi:10.48550/arXiv.2201.13004>.
Author: Juri Trifonov [aut, cre, cph], Yuehao Bai [aut], Azeem Shaikh [aut], Max Tabord-Meehan [aut]
Maintainer: Juri Trifonov <jutrifonov@uchicago.edu>

Diff between sreg versions 1.0.0 dated 2024-06-25 and 1.0.1 dated 2025-02-06

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Package aws.wrfsmn updated to version 0.0.5 with previous version 0.0.4 dated 2025-01-10

Title: Data Processing of SMN Hi-Res Weather Forecast from 'AWS'
Description: Exploration of Weather Research & Forecasting ('WRF') Model data of Servicio Meteorologico Nacional (SMN) from Amazon Web Services (<https://registry.opendata.aws/smn-ar-wrf-dataset/>) cloud. The package provides the possibility of data downloading, processing and correction methods. It also has map management and series exploration of available meteorological variables of 'WRF' forecast.
Author: Gonzalo Diaz [cre, aut]
Maintainer: Gonzalo Diaz <gonzalomartindiaz22@gmail.com>

Diff between aws.wrfsmn versions 0.0.4 dated 2025-01-10 and 0.0.5 dated 2025-02-06

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Package checkglobals updated to version 0.1.3 with previous version 0.1.0 dated 2023-06-02

Title: Static Analysis of R-Code Dependencies
Description: A minimal R-package to approximately detect global and imported functions or variables from R-source code or R-packages by static code analysis.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>

Diff between checkglobals versions 0.1.0 dated 2023-06-02 and 0.1.3 dated 2025-02-06

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Package adegenet updated to version 2.1.11 with previous version 2.1.10 dated 2023-01-26

Title: Exploratory Analysis of Genetic and Genomic Data
Description: Toolset for the exploration of genetic and genomic data. Adegenet provides formal (S4) classes for storing and handling various genetic data, including genetic markers with varying ploidy and hierarchical population structure ('genind' class), alleles counts by populations ('genpop'), and genome-wide SNP data ('genlight'). It also implements original multivariate methods (DAPC, sPCA), graphics, statistical tests, simulation tools, distance and similarity measures, and several spatial methods. A range of both empirical and simulated datasets is also provided to illustrate various methods.
Author: Thibaut Jombart [aut] , Zhian N. Kamvar [aut, cre] , Caitlin Collins [ctb], Roman Lustrik [ctb], Marie-Pauline Beugin [ctb], Brian J. Knaus [ctb], Peter Solymos [ctb], Vladimir Mikryukov [ctb], Klaus Schliep [ctb], Tiago Maie [ctb], Libor Morkovsky [ [...truncated...]
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>

Diff between adegenet versions 2.1.10 dated 2023-01-26 and 2.1.11 dated 2025-02-06

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Package TOSTER updated to version 0.8.4 with previous version 0.8.3 dated 2024-05-08

Title: Two One-Sided Tests (TOST) Equivalence Testing
Description: Two one-sided tests (TOST) procedure to test equivalence for t-tests, correlations, differences between proportions, and meta-analyses, including power analysis for t-tests and correlations. Allows you to specify equivalence bounds in raw scale units or in terms of effect sizes. See: Lakens (2017) <doi:10.1177/1948550617697177>.
Author: Daniel Lakens [aut], Aaron Caldwell [aut, cre]
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>

Diff between TOSTER versions 0.8.3 dated 2024-05-08 and 0.8.4 dated 2025-02-06

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New package sphereML with initial version 0.1.0
Package: sphereML
Title: Analyzing Students' Performance Dataset in Physics Education Research (SPHERE) using Machine Learning (ML)
Version: 0.1.0
Maintainer: Purwoko Haryadi Santoso <purwokoharyadisantoso@unsulbar.ac.id>
Description: A simple package facilitating ML based analysis for physics education research (PER) purposes. The implemented machine learning technique is random forest optimized by item response theory (IRT) for feature selection and genetic algorithm (GA) for hyperparameter tuning. The data analyzed here has been made available in the CRAN repository through the 'spheredata' package. The SPHERE stands for Students' Performance in Physics Education Research (PER). The students are the eleventh graders learning physics at the high school curriculum. We follow the stream of multidimensional students' assessment as probed by some research based assessments in PER. The goal is to predict the students' performance at the end of the learning process. Three learning domains are measured including conceptual understanding, scientific ability, and scientific attitude. Furthermore, demographic backgrounds and potential variables predicting students' performance on physics are also demonstrated.
BugReports: https://github.com/santosoph/sphereML/issues
URL: https://github.com/santosoph/sphereML
License: MIT + file LICENSE
Imports: shiny, shinydashboard, spheredata, lavaan, semPlot, CTT, mirt, shinycssloaders, FSelectorRcpp, randomForest, caret, caTools, pROC, GA, readxl
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-06 14:43:15 UTC; ASUS
Author: Purwoko Haryadi Santoso [aut, cre] , Edi Istiyono [ctb], Haryanto Haryanto [ctb]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-02-06 20:10:01 UTC

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Package easylabel updated to version 0.3.3 with previous version 0.3.2 dated 2025-01-09

Title: Interactive Scatter Plot and Volcano Plot Labels
Description: Interactive labelling of scatter plots, volcano plots and Manhattan plots using a 'shiny' and 'plotly' interface. Users can hover over points to see where specific points are located and click points on/off to easily label them. Labels can be dragged around the plot to place them optimally. Plots can be exported directly to PDF for publication. For plots with large numbers of points, points can optionally be rasterized as a bitmap, while all other elements (axes, text, labels & lines) are preserved as vector objects. This can dramatically reduce file size for plots with millions of points such as Manhattan plots, and is ideal for publication.
Author: Myles Lewis [aut, cre] , Katriona Goldmann [aut] , Cankut Cubuk [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between easylabel versions 0.3.2 dated 2025-01-09 and 0.3.3 dated 2025-02-06

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More information about easylabel at CRAN
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Package trtswitch updated to version 0.1.3 with previous version 0.1.2 dated 2024-12-05

Title: Treatment Switching
Description: Implements rank-preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), and two-stage estimation (TSE) methods for treatment switching in randomized clinical trials.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

Diff between trtswitch versions 0.1.2 dated 2024-12-05 and 0.1.3 dated 2025-02-06

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New package tall with initial version 0.1.0
Package: tall
Title: Text Analysis for All
Version: 0.1.0
Description: An R 'shiny' app designed for diverse text analysis tasks, offering a wide range of methodologies tailored to Natural Language Processing (NLP) needs. It is a versatile, general-purpose tool for analyzing textual data. 'tall' features a comprehensive workflow, including data cleaning, preprocessing, statistical analysis, and visualization, all integrated for effective text analysis.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/massimoaria/tall, https://www.k-synth.com/tall/
BugReports: https://github.com/massimoaria/tall/issues
Depends: R (>= 3.5.0), shiny
Imports: graphics, dplyr (>= 1.1.0), shinyWidgets, shinydashboardPlus, chromote, later, promises, tidyr, purrr, plotly, stringr, Rcpp (>= 1.0.3), RSpectra, rlang, DT, openxlsx, visNetwork, igraph, udpipe, topicmodels, pdftools, textrank, strucchange, sparkline, tidygraph, readxl, readtext, jsonlite, fontawesome, ca, ldatuning, shinycssloaders, shinyjs, shinyFiles, readr, curl, pagedown, doParallel
LazyData: true
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2025-02-06 11:55:33 UTC; massimoaria
Author: Massimo Aria [aut, cre, cph] , Maria Spano [aut] , Luca D'Aniello [aut] , Corrado Cuccurullo [ctb] , Michelangelo Misuraca [ctb]
Maintainer: Massimo Aria <aria@unina.it>
Repository: CRAN
Date/Publication: 2025-02-06 20:00:02 UTC

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New package oneinfl with initial version 1.0.0
Package: oneinfl
Title: Estimates OIPP and OIZTNB Regression Models
Version: 1.0.0
Author: Ryan T. Godwin [aut, cre]
Maintainer: Ryan T. Godwin <ryan.godwin@umanitoba.ca>
Description: Estimates one-inflated positive Poisson (OIPP) and one-inflated zero-truncated negative binomial (OIZTNB) regression models. A suite of ancillary statistical tools are also provided, including: estimation of positive Poisson (PP) and zero-truncated negative binomial (ZTNB) models; marginal effects and their standard errors; diagnostic likelihood ratio and Wald tests; plotting; predicted counts and expected responses; and random variate generation. The models and tools, as well as four applications, are shown in Godwin, R. T. (2024). "One-inflated zero-truncated count regression models" arXiv preprint <doi:10.48550/arXiv.2402.02272>.
License: GPL (>= 3)
Imports: graphics, stats
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-06 03:39:21 UTC; ryang
Repository: CRAN
Date/Publication: 2025-02-06 19:40:02 UTC

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New package jellyfisher with initial version 1.0.4
Package: jellyfisher
Title: Visualize Spatiotemporal Tumor Evolution with Jellyfish Plots
Version: 1.0.4
Description: Generates interactive Jellyfish plots to visualize spatiotemporal tumor evolution by integrating sample and phylogenetic trees into a unified plot. This approach provides an intuitive way to analyze tumor heterogeneity and evolution over time and across anatomical locations. The Jellyfish plot visualization design was first introduced by Lahtinen, Lavikka, et al. (2023, <doi:10.1016/j.ccell.2023.04.017>). This package also supports visualizing ClonEvol results, a tool developed by Dang, et al. (2017, <doi:10.1093/annonc/mdx517>), for analyzing clonal evolution from multi-sample sequencing data. The 'clonevol' package is not available on CRAN but can be installed from its GitHub repository (<https://github.com/hdng/clonevol>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/HautaniemiLab/jellyfisher, https://hautaniemilab.github.io/jellyfisher/
BugReports: https://github.com/HautaniemiLab/jellyfisher/issues
Imports: htmlwidgets, dplyr, stringr
Suggests: knitr, rmarkdown, clonevol
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-05 12:40:36 UTC; klavikka
Author: Kari Lavikka [cph, aut, cre]
Maintainer: Kari Lavikka <kari.lavikka@helsinki.fi>
Repository: CRAN
Date/Publication: 2025-02-06 19:30:02 UTC

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New package EEAaq with initial version 1.0.0
Package: EEAaq
Title: Handle Air Quality Data from the European Environment Agency Data Portal
Version: 1.0.0
Description: This software downloads and manages air quality data from the European Environmental Agency (EEA) dataflow (<https://www.eea.europa.eu/data-and-maps/data/aqereporting-9>). See the web page <https://eeadmz1-downloads-webapp.azurewebsites.net/> for details on the EEA's Air Quality Download Service. The package allows dynamically mapping the stations, summarising and time aggregating the measurements and building spatial interpolation maps. See the web page <https://www.eea.europa.eu/en> for further information on EEA activities and history. Further details, as well as, an extended vignette of the main functions included in the package, are available at the GitHub web page dedicated to the project.
URL: https://github.com/PaoloMaranzano/EEAaq_R
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: arrow, curl, dplyr, ggplot2, ggpubr, gifski, grDevices, gstat, htmlwidgets, httr, leaflet, lubridate, raster, readr, sf, stats, tibble, tidyr, utils
Encoding: UTF-8
Suggests: knitr, rmarkdown, rvest, readxl, digest, gh, base64enc, stringr
NeedsCompilation: no
Packaged: 2025-02-05 14:43:18 UTC; paulm
Author: Paolo Maranzano [aut, cre, cph] , Riccardo Borgoni [aut, cph] , Samir Doghmi [aut, cph], Agostino Tassan Mazzocco [aut, cph]
Maintainer: Paolo Maranzano <pmaranzano.ricercastatistica@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-06 19:30:06 UTC

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New package DiscreteDLM with initial version 1.0.0
Package: DiscreteDLM
Title: Bayesian Distributed Lag Model Fitting for Binary and Count Response Data
Version: 1.0.0
Maintainer: Daniel Dempsey <daniel.dempsey0@gmail.com>
Description: Tools for fitting Bayesian Distributed Lag Models (DLMs) to longitudinal response data that is a count or binary. Count data is fit using negative binomial regression and binary is fit using quantile regression. The contribution of the lags are fit via b-splines. In addition, infers the predictor inclusion uncertainty. Multimomial models are not supported. Based on Dempsey and Wyse (2025) <doi:10.48550/arXiv.2403.03646>.
License: GPL-3
Encoding: UTF-8
Imports: statmod, BayesLogit, dlnm, splines, dplyr, ggplot2, ggridges, reshape2
URL: https://github.com/DanDempsey/DiscreteDLM
BugReports: https://github.com/DanDempsey/DiscreteDLM/issues
NeedsCompilation: yes
Packaged: 2025-02-06 01:49:36 UTC; bluff
Author: Daniel Dempsey [aut, cre] , Jason Wyse [ctb] , Christian E. Galarza [ctb] .), Victor H. Lachos [ctb] .)
Repository: CRAN
Date/Publication: 2025-02-06 19:40:10 UTC

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Package arcpullr updated to version 0.3.0 with previous version 0.2.9 dated 2024-03-11

Title: Pull Data from an 'ArcGIS REST' API
Description: Functions to efficiently query 'ArcGIS REST' APIs <https://developers.arcgis.com/rest/>. Both spatial and SQL queries can be used to retrieve data. Simple Feature (sf) objects are utilized to perform spatial queries. This package was neither produced nor is maintained by Esri.
Author: Paul Frater [aut, cre] , Zac Driscoll [aut]
Maintainer: Paul Frater <paul.frater@wisconsin.gov>

Diff between arcpullr versions 0.2.9 dated 2024-03-11 and 0.3.0 dated 2025-02-06

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Package sate updated to version 2.3.0 with previous version 2.2.1 dated 2024-12-05

Title: Scientific Analysis of Trial Errors (SATE)
Description: Bundles functions used to analyze the harmfulness of trial errors in criminal trials. Functions in the Scientific Analysis of Trial Errors ('SATE') package help users estimate the probability that a jury will find a defendant guilty given jurors' preferences for a guilty verdict and the uncertainty of that estimate. Users can also compare actual and hypothetical trial conditions to conduct harmful error analysis. The relationship between individual jurors' verdict preferences and the probability that a jury returns a guilty verdict has been studied by Davis (1973) <doi:10.1037/h0033951>; MacCoun & Kerr (1988) <doi:10.1037/0022-3514.54.1.21>, and Devine et el. (2001) <doi:10.1037/1076-8971.7.3.622>, among others.
Author: Barry Edwards [aut, cre]
Maintainer: Barry Edwards <bce@uga.edu>

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Package easystats updated to version 0.7.4 with previous version 0.7.3 dated 2024-07-22

Title: Framework for Easy Statistical Modeling, Visualization, and Reporting
Description: A meta-package that installs and loads a set of packages from 'easystats' ecosystem in a single step. This collection of packages provide a unifying and consistent framework for statistical modeling, visualization, and reporting. Additionally, it provides articles targeted at instructors for teaching 'easystats', and a dashboard targeted at new R users for easily conducting statistical analysis by accessing summary results, model fit indices, and visualizations with minimal programming.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Brenton M. Wiernik [aut] , Etienne Bacher [aut] , Remi Theriault [aut]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package BayesianMCPMod updated to version 1.0.2 with previous version 1.0.1 dated 2024-04-05

Title: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod
Description: Bayesian MCPMod (Fleischer et al. (2022) <doi:10.1002/pst.2193>) is an innovative method that improves the traditional MCPMod by systematically incorporating historical data, such as previous placebo group data. This R package offers functions for simulating, analyzing, and evaluating Bayesian MCPMod trials with normally distributed endpoints. It enables the assessment of trial designs incorporating historical data across various true dose-response relationships and sample sizes. Robust mixture prior distributions, such as those derived with the Meta-Analytic-Predictive approach (Schmidli et al. (2014) <doi:10.1111/biom.12242>), can be specified for each dose group. Resulting mixture posterior distributions are used in the Bayesian Multiple Comparison Procedure and modeling steps. The modeling step also includes a weighted model averaging approach (Pinheiro et al. (2014) <doi:10.1002/sim.6052>). Estimated dose-response relationships can be bootstrapped and visualiz [...truncated...]
Author: Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd], Stephan Wojciekowski [aut, cre], Lars Andersen [aut], Jonas Schick [ctb], Sebastian Bossert [aut]
Maintainer: Stephan Wojciekowski <stephan.wojciekowski@boehringer-ingelheim.com>

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Package vistla updated to version 2.1.0 with previous version 2.0.4 dated 2025-01-25

Title: Detecting Influence Paths with Information Theory
Description: Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs. In particular, 'vistla' can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits. Due to its higher-order nature, 'vistla' can handle multi-modality and assign multiple roles to a single feature.
Author: Miron B. Kursa [aut, cre]
Maintainer: Miron B. Kursa <m@mbq.me>

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Package dibble updated to version 0.3.1 with previous version 0.3.0 dated 2024-06-23

Title: Dimensional Data Frames
Description: Provides a 'dibble' that implements data cubes (derived from 'dimensional tibble'), and allows broadcasting by dimensional names.
Author: Mizuki Uchida [aut, cre]
Maintainer: Mizuki Uchida <uchidamizuki@vivaldi.net>

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New package watcher with initial version 0.1.0
Package: watcher
Title: Watch the File System for Changes
Version: 0.1.0
Description: R binding for 'libfswatch', a file system monitoring library. Watch files, or directories recursively, for changes in the background. Log activity, or run an R function every time a change event occurs.
License: MIT + file LICENSE
BugReports: https://github.com/r-lib/watcher/issues
URL: https://r-lib.github.io/watcher/, https://github.com/r-lib/watcher/
Encoding: UTF-8
SystemRequirements: 'libfswatch', or 'cmake' to compile from package sources
Depends: R (>= 3.6)
Imports: later, R6, rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-02-05 21:55:22 UTC; cg334
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>
Repository: CRAN
Date/Publication: 2025-02-06 14:20:02 UTC

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Package TreatmentPatterns updated to version 3.0.0 with previous version 2.7.0 dated 2024-11-27

Title: Analyzes Real-World Treatment Patterns of a Study Population of Interest
Description: Computes treatment patterns within a given cohort using the Observational Medical Outcomes Partnership (OMOP) common data model (CDM). As described in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.
Author: Aniek Markus [aut] , Maarten van Kessel [cre]
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>

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Package SLOS updated to version 1.0.1 with previous version 1.0.0 dated 2025-01-20

Title: ICU Length of Stay Prediction and Efficiency Evaluation
Description: Provides tools for predicting ICU length of stay and assessing ICU efficiency. It is based on the methodologies proposed by Peres et al. (2022, 2023), which utilize data-driven approaches for modeling and validation, offering insights into ICU performance and patient outcomes. References: Peres et al. (2022)<https://pubmed.ncbi.nlm.nih.gov/35988701/>, Peres et al. (2023)<https://pubmed.ncbi.nlm.nih.gov/37922007/>. More information: <https://github.com/igor-peres/ICU-Length-of-Stay-Prediction>.
Author: Igor Peres [aut], Joana da Matta [cre]
Maintainer: Joana da Matta <joana.damatta02@gmail.com>

Diff between SLOS versions 1.0.0 dated 2025-01-20 and 1.0.1 dated 2025-02-06

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Package urlparse updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-13

Title: Fast Simple URL Parser
Description: A fast and simple 'URL' parser package for 'R'. This package provides functions to parse 'URLs' into their components, such as scheme, user, password, host, port, path, query, and fragment.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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New package SynergyLMM with initial version 1.0.0
Package: SynergyLMM
Title: Statistical Framework for in Vivo Drug Combination Studies
Version: 1.0.0
Description: A framework for evaluating drug combination effects in preclinical in vivo studies. 'SynergyLMM' provides functions to analyze longitudinal tumor growth experiments using linear mixed-effects models, perform time-dependent analyses of synergy and antagonism, evaluate model diagnostics and performance, and assess both post-hoc and a priori statistical power. The calculation of drug combination synergy follows the statistical framework provided by Demidenko and Miller (2019, <doi:10.1371/journal.pone.0224137>). The implementation and analysis of linear mixed-effect models is based on the methods described by Pinheiro and Bates (2000, <doi:10.1007/b98882>), and Gałecki and Burzykowski (2013, <doi:10.1007/978-1-4614-3900-4>).
License: GPL (>= 3)
Encoding: UTF-8
Imports: magrittr (>= 2.0.3), rlang, dplyr (>= 1.1.4), ggplot2 (>= 3.5.1), cowplot (>= 1.1.3), nlme (>= 3.1-165), nlmeU, fBasics, car, MASS, performance, lattice, marginaleffects, clubSandwich
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.0)
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/RafRomB/SynergyLMM
BugReports: https://github.com/RafRomB/SynergyLMM/issues
NeedsCompilation: no
Packaged: 2025-02-05 15:05:35 UTC; rafrombec
Author: Rafael Romero-Becerra [aut, cre] , Zhi Zhao [ctb], Tero Aittokallio [ctb]
Maintainer: Rafael Romero-Becerra <r.r.becerra@medisin.uio.no>
Repository: CRAN
Date/Publication: 2025-02-06 13:30:02 UTC

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New package pseudoCure with initial version 1.0.0
Package: pseudoCure
Title: A Pseudo-Observations Approach for Analyzing Survival Data with a Cure Fraction
Version: 1.0.0
Date: 2025-02-05
Description: A collection of easy-to-use tools for regression analysis of survival data with a cure fraction proposed in Su et al. (2022) <doi:10.1177/09622802221108579>. The modeling framework is based on the Cox proportional hazards mixture cure model and the bounded cumulative hazard (promotion time cure) model. The pseudo-observations approach is utilized to assess covariate effects and embedded in the variable selection procedure.
License: GPL (>= 2)
Depends: R (>= 4.2.0)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-02-05 14:30:37 UTC; schiou
Encoding: UTF-8
Imports: Rcpp, MASS, ggplot2, ggpubr, rlang
Author: Sy Han Chiou [aut, cre], Chien-Lin Su [aut], Feng-Chang Lin [aut]
Maintainer: Sy Han (Steven) Chiou <schiou@smu.edu>
Repository: CRAN
Date/Publication: 2025-02-06 13:10:02 UTC

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Package insight updated to version 1.0.2 with previous version 1.0.1 dated 2025-01-09

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package Coxmos updated to version 1.1.1 with previous version 1.1.0 dated 2025-01-18

Title: Cox MultiBlock Survival
Description: This software package provides Cox survival analysis for high-dimensional and multiblock datasets. It encompasses a suite of functions dedicated from the classical Cox regression to newest analysis, including Cox proportional hazards model, Stepwise Cox regression, and Elastic-Net Cox regression, Sparse Partial Least Squares Cox regression (sPLS-COX) incorporating three distinct strategies, and two Multiblock-PLS Cox regression (MB-sPLS-COX) methods. This tool is designed to adeptly handle high-dimensional data, and provides tools for cross-validation, plot generation, and additional resources for interpreting results. While references are available within the corresponding functions, key literature is mentioned below. Terry M Therneau (2024) <https://CRAN.R-project.org/package=survival>, Noah Simon et al. (2011) <doi:10.18637/jss.v039.i05>, Philippe Bastien et al. (2005) <doi:10.1016/j.csda.2004.02.005>, Philippe Bastien (2008) <doi:10.1016/j.chemolab.2007.09.009& [...truncated...]
Author: Pedro Salguero Garcia [aut, cre, rev] , Sonia Tarazona Campos [ths], Ana Conesa Cegarra [ths], Kassu Mehari Beyene [ctb], Luis Meira Machado [ctb], Marta Sestelo [ctb], Artur Araujo [ctb]
Maintainer: Pedro Salguero Garcia <pedrosalguerog@gmail.com>

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Package bvhar updated to version 2.2.0 with previous version 2.1.2 dated 2024-10-11

Title: Bayesian Vector Heterogeneous Autoregressive Modeling
Description: Tools to model and forecast multivariate time series including Bayesian Vector heterogeneous autoregressive (VHAR) model by Kim & Baek (2023) (<doi:10.1080/00949655.2023.2281644>). 'bvhar' can model Vector Autoregressive (VAR), VHAR, Bayesian VAR (BVAR), and Bayesian VHAR (BVHAR) models.
Author: Young Geun Kim [aut, cre, cph] , Changryong Baek [ctb]
Maintainer: Young Geun Kim <ygeunkimstat@gmail.com>

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Package ggalign updated to version 0.1.0 with previous version 0.0.5 dated 2024-11-14

Title: A 'ggplot2' Extension for Consistent Axis Alignment
Description: A 'ggplot2' extension offers various tools for organizing and arranging plots. It is designed to consistently align a specific axis across multiple 'ggplot' objects, making it especially useful for plots requiring data order manipulation. A typical use case includes organizing combinations like a dendrogram and a heatmap.
Author: Yun Peng [aut, cre] , Shixiang Wang [aut] , Guangchuang Yu [aut]
Maintainer: Yun Peng <yunyunp96@163.com>

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Package convertid updated to version 0.1.10 with previous version 0.1.8 dated 2023-11-29

Title: Convert Gene IDs Between Each Other and Fetch Annotations from Biomart
Description: Gene Symbols or Ensembl Gene IDs are converted using the Bimap interface in 'AnnotationDbi' in convertId2() but that function is only provided as fallback mechanism for the most common use cases in data analysis. The main function in the package is convert.bm() which queries BioMart using the full capacity of the API provided through the 'biomaRt' package. Presets and defaults are provided for convenience but all "marts", "filters" and "attributes" can be set by the user. Function convert.alias() converts Gene Symbols to Aliases and vice versa and function likely_symbol() attempts to determine the most likely current Gene Symbol.
Author: Vidal Fey [aut, cre], Henrik Edgren [aut]
Maintainer: Vidal Fey <vidal.fey@gmail.com>

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Permanent link

Package VGAMdata updated to version 1.1-13 with previous version 1.1-12 dated 2024-09-17

Title: Data Supporting the 'VGAM' Package
Description: Mainly data sets to accompany the VGAM package and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7>. These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology). This package now contains some old VGAM family functions which have been replaced by newer ones (often because they are now special cases).
Author: Thomas Yee [aut, cre, cph] , James Gray [dtc]
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>

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Package DrugExposureDiagnostics updated to version 1.1.1 with previous version 1.1.0 dated 2024-12-22

Title: Diagnostics for OMOP Common Data Model Drug Records
Description: Ingredient specific diagnostics for drug exposure records in the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Ger Inberg [aut, cre] , Edward Burn [aut] , Theresa Burkard [aut] , Yuchen Guo [ctb] , Marti Catala [ctb] , Mike Du [ctb] , Xintong Li [ctb] , Ross Williams [ctb] , Erasmus MC [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

Diff between DrugExposureDiagnostics versions 1.1.0 dated 2024-12-22 and 1.1.1 dated 2025-02-06

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Package ChainLadder updated to version 0.2.20 with previous version 0.2.19 dated 2024-07-21

Title: Statistical Methods and Models for Claims Reserving in General Insurance
Description: Various statistical methods and models which are typically used for the estimation of outstanding claims reserves in general insurance, including those to estimate the claims development result as required under Solvency II.
Author: Markus Gesmann [aut, cre], Daniel Murphy [aut], Yanwei Zhang [aut], Alessandro Carrato [aut], Giuseppe Crupi [ctb], Christophe Dutang [ctb], Arnaud Lacoume [ctb], Arthur Charpentier [ctb], Mario Wuthrich [aut], Fabio Concina [aut], Eric Dal Moro [au [...truncated...]
Maintainer: Markus Gesmann <markus.gesmann@googlemail.com>

Diff between ChainLadder versions 0.2.19 dated 2024-07-21 and 0.2.20 dated 2025-02-06

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Package windex updated to version 2.1.0 with previous version 2.0.8 dated 2024-04-26

Title: Analysing Convergent Evolution using the Wheatsheaf Index
Description: Analysing convergent evolution using the Wheatsheaf index, described in Arbuckle et al. (2014) <doi: 10.1111/2041-210X.12195>, and some other unrelated but perhaps useful functions.
Author: Kevin Arbuckle [aut, cre], Amanda Minter [aut]
Maintainer: Kevin Arbuckle <kevin.arbuckle@swansea.ac.uk>

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Package sgs updated to version 0.3.4 with previous version 0.3.3 dated 2025-02-03

Title: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Description: Implementation of Sparse-group SLOPE (SGS) (Feser and Evangelou (2023) <doi:10.48550/arXiv.2305.09467>) models. Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported. In addition, a general Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) implementation is provided. Group SLOPE (gSLOPE) (Brzyski et al. (2019) <doi:10.1080/01621459.2017.1411269>) and group-based OSCAR models (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) are also implemented. All models are available with strong screening rules (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) for computational speed-up.
Author: Fabio Feser [aut, cre]
Maintainer: Fabio Feser <ff120@ic.ac.uk>

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Package netmeta updated to version 3.1-1 with previous version 3.1-0 dated 2025-02-04

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis (Balduzzi et al., 2023) <doi:10.18637/jss.v106.i02> and supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <doi:10.1002/jrsm.1058>; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <doi:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <doi:10.1002/sim.8158>, or penalised logistic regression (Evrenoglou et al., 2022) <doi:10.1002/sim.9562>; - rankograms and ranking of treatments by the Surface under the cumulative ranking curve (SUCRA) (Salanti et al., 2013) <doi:10.1016/j.jclinepi.2010.03.016>; - ranking of treatments using P-scores (frequentist analogue of SUCRAs without resampling) according to [...truncated...]
Author: Gerta Ruecker [aut] , Ulrike Krahn [aut], Jochem Koenig [aut] , Orestis Efthimiou [aut] , Annabel Davies [aut] , Theodoros Papakonstantinou [aut] , Theodoros Evrenoglou [ctb] , Krzysztof Ciomek [ctb] , Guido Schwarzer [aut, cre]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package dfr updated to version 0.1.4 with previous version 0.1.3 dated 2025-02-03

Title: Dual Feature Reduction for SGL
Description: Implementation of the Dual Feature Reduction (DFR) approach for the Sparse Group Lasso (SGL) and the Adaptive Sparse Group Lasso (aSGL) (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.17094>). The DFR approach is a feature reduction approach that applies strong screening to reduce the feature space before optimisation, leading to speed-up improvements for fitting SGL (Simon et al. (2013) <doi:10.1080/10618600.2012.681250>) and aSGL (Mendez-Civieta et al. (2020) <doi:10.1007/s11634-020-00413-8> and Poignard (2020) <doi:10.1007/s10463-018-0692-7>) models. DFR is implemented using the Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) algorithm, with linear and logistic SGL models supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported.
Author: Fabio Feser [aut, cre]
Maintainer: Fabio Feser <ff120@ic.ac.uk>

Diff between dfr versions 0.1.3 dated 2025-02-03 and 0.1.4 dated 2025-02-06

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Package CvmortalityMult updated to version 1.0.8 with previous version 1.0.7 dated 2024-08-31

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 1.0.7 dated 2024-08-31 and 1.0.8 dated 2025-02-06

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Package bamdit updated to version 3.4.4 with previous version 3.4.3 dated 2024-11-22

Title: Bayesian Meta-Analysis of Diagnostic Test Data
Description: Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).
Author: Pablo Emilio Verde [aut, cre]
Maintainer: Pablo Emilio Verde <pabloemilio.verde@hhu.de>

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Package deductive updated to version 1.0.1 with previous version 1.0.0 dated 2021-03-29

Title: Data Correction and Imputation Using Deductive Methods
Description: Attempt to repair inconsistencies and missing values in data records by using information from valid values and validation rules restricting the data.
Author: Mark van der Loo [cre, aut] , Edwin de Jonge [aut] , Reijer Idema [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package RcppArmadillo updated to version 14.2.3-1 with previous version 14.2.2-1 dated 2024-12-06

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 [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package SPAS updated to version 2025.2.1 with previous version 2024.1.31 dated 2024-01-25

Title: Stratified-Petersen Analysis System
Description: The Stratified-Petersen Analysis System (SPAS) is designed to estimate abundance in two-sample capture-recapture experiments where the capture and recaptures are stratified. This is a generalization of the simple Lincoln-Petersen estimator. Strata may be defined in time or in space or both, and the s strata in which marking takes place may differ from the t strata in which recoveries take place. When s=t, SPAS reduces to the method described by Darroch (1961) <doi:10.2307/2332748>. When s<t, SPAS implements the methods described in Plante, Rivest, and Tremblay (1988) <doi:10.2307/2533994>. Schwarz and Taylor (1998) <doi:10.1139/f97-238> describe the use of SPAS in estimating return of salmon stratified by time and geography. A related package, BTSPAS, deals with temporal stratification where a spline is used to model the distribution of the population over time as it passes the second capture location. This is the R-version of the (now obsolete) standalone Windows [...truncated...]
Author: Carl James Schwarz [aut, cre]
Maintainer: Carl James Schwarz <cschwarz.stat.sfu.ca@gmail.com>

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Package cppcontainers (with last version 1.0.4) was removed from CRAN

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

2025-01-15 1.0.4
2025-01-09 1.0.3
2024-11-14 1.0.1
2024-11-13 1.0.0

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