Fri, 31 Jan 2025

Package shinyCox updated to version 1.1.3 with previous version 1.1.2 dated 2024-12-08

Title: Create 'shiny' Applications for Cox Proportional Hazards Models
Description: Takes one or more fitted Cox proportional hazards models and writes a 'shiny' application to a directory specified by the user. The 'shiny' application displays predicted survival curves based on user input, and contains none of the original data used to create the Cox model or models. The goal is towards visualization and presentation of predicted survival curves.
Author: Harrison Clement [aut, cre], Subodh Selukar [aut], Stanley Pounds [aut], St Jude Children's Research Hospital [fnd]
Maintainer: Harrison Clement <harrisonclement16@gmail.com>

Diff between shinyCox versions 1.1.2 dated 2024-12-08 and 1.1.3 dated 2025-01-31

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Package zonohedra updated to version 0.4-0 with previous version 0.3-0 dated 2024-07-09

Title: Compute and Plot Zonohedra from Vector Generators
Description: Computes a zonohedron from real vector generators. The package also computes zonogons (2D zonotopes) and zonosegs (1D zonotopes). An elementary S3 class for matroids is included, which supports matroids with rank 3, 2, and 1. Optimization methods are taken from Heckbert (1985) <https://www.cs.cmu.edu/~ph/zono.ps.gz>.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between zonohedra versions 0.3-0 dated 2024-07-09 and 0.4-0 dated 2025-01-31

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Package RRPP updated to version 2.1.0 with previous version 2.0.4 dated 2024-11-13

Title: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
Description: Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. This packaged is described by Collyer & Adams (2018). Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.
Author: Michael Collyer [aut, cre] , Dean Adams [aut]
Maintainer: Michael Collyer <mlcollyer@gmail.com>

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New package fedmatch with initial version 2.1.0
Package: fedmatch
Title: Fast, Flexible, and User-Friendly Record Linkage Methods
Version: 2.1.0
Description: Provides a flexible set of tools for matching two un-linked data sets. 'fedmatch' allows for three ways to match data: exact matches, fuzzy matches, and multi-variable matches. It also allows an easy combination of these three matches via the tier matching function.
Depends: R (>= 3.5.3)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stringdist, SnowballC, stringr, purrr, Rcpp, parallel, forcats, data.table, magrittr, scales
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
LinkingTo: Rcpp, BH
NeedsCompilation: yes
Packaged: 2025-01-31 19:17:30 UTC; christopherwebster
Author: Melanie Friedrichs [aut], Chris Webster [aut, cre], Blake Marsh [aut], Jacob Dice [aut], Seung Lee [aut]
Maintainer: Chris Webster <chris0webster@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 22:40:02 UTC

More information about fedmatch at CRAN
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New package EmbedSOM with initial version 2.2
Package: EmbedSOM
Version: 2.2
Title: Fast Embedding Guided by Self-Organizing Map
Depends: R (>= 3.2)
Suggests: knitr, rmarkdown
Imports: ggplot2, igraph, Matrix, Rtsne, umap, uwot
Description: Provides a smooth mapping of multidimensional points into low-dimensional space defined by a self-organizing map. Designed to work with 'FlowSOM' and flow-cytometry use-cases. See Kratochvil et al. (2019) <doi:10.12688/f1000research.21642.1>.
License: GPL (>= 3)
URL: https://github.com/exaexa/EmbedSOM
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-31 20:08:19 UTC; exa
Author: Mirek Kratochvil [aut, cre], Sofie Van Gassen [cph], Britt Callebaut [cph], Yvan Saeys [cph], Ron Wehrens [cph]
Maintainer: Mirek Kratochvil <exa.exa@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 22:30:02 UTC

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Package ClustAssess updated to version 1.0.0 with previous version 0.3.0 dated 2022-01-26

Title: Tools for Assessing Clustering
Description: A set of tools for evaluating clustering robustness using proportion of ambiguously clustered pairs (Senbabaoglu et al. (2014) <doi:10.1038/srep06207>), as well as similarity across methods and method stability using element-centric clustering comparison (Gates et al. (2019) <doi:10.1038/s41598-019-44892-y>). Additionally, this package enables stability-based parameter assessment for graph-based clustering pipelines typical in single-cell data analysis.
Author: Andi Munteanu [aut, cre], Arash Shahsavari [aut], Rafael Kollyfas [ctb], Miguel Larraz Lopez de Novales [aut], Liviu Ciortuz [ctb], Irina Mohorianu [aut]
Maintainer: Andi Munteanu <am3019@cam.ac.uk>

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Package BIEN updated to version 1.2.7 with previous version 1.2.6 dated 2023-01-06

Title: Tools for Accessing the Botanical Information and Ecology Network Database
Description: Provides Tools for Accessing the Botanical Information and Ecology Network Database. The BIEN database contains cleaned and standardized botanical data including occurrence, trait, plot and taxonomic data (See <https://bien.nceas.ucsb.edu/bien/> for more Information). This package provides functions that query the BIEN database by constructing and executing optimized SQL queries.
Author: Brian Maitner [aut, cre]
Maintainer: Brian Maitner <bmaitner@gmail.com>

Diff between BIEN versions 1.2.6 dated 2023-01-06 and 1.2.7 dated 2025-01-31

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More information about BIEN at CRAN
Permanent link

Package tidychangepoint updated to version 1.0.0 with previous version 0.0.1 dated 2024-08-19

Title: A Tidy Framework for Changepoint Detection Analysis
Description: Changepoint detection algorithms for R are widespread but have different interfaces and reporting conventions. This makes the comparative analysis of results difficult. We solve this problem by providing a tidy, unified interface for several different changepoint detection algorithms. We also provide consistent numerical and graphical reporting leveraging the 'broom' and 'ggplot2' packages.
Author: Benjamin S. Baumer [aut, cre, cph] , Biviana Marcela Suarez Sierra [aut] , Arrigo Coen [aut] , Carlos A. Taimal [aut] , Xueheng Shi [ctb]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>

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Package scpi updated to version 3.0.0 with previous version 2.2.6 dated 2024-11-11

Title: Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption
Description: Implementation of prediction and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplex-type constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) <https://nppackages.github.io/references/Cattaneo-Feng-Titiunik_2021_JASA.pdf> for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2023) <doi:10.48550/arXiv.2210.05026> for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2024) <doi:10.48550/arXiv.2202.05984>.
Author: Matias Cattaneo [aut], Yingjie Feng [aut], Filippo Palomba [aut, cre], Rocio Titiunik [aut]
Maintainer: Filippo Palomba <fpalomba@princeton.edu>

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Package samplezoo updated to version 1.2.0 with previous version 1.1.1 dated 2024-12-02

Title: Generate Samples with a Variety of Probability Distributions
Description: Simplifies the process of generating samples from a variety of probability distributions, allowing users to quickly create data frames for demonstrations, troubleshooting, or teaching purposes. Data is available in multiple sizes—small, medium, and large. For more information, refer to the package documentation.
Author: Nicholas Vietto [aut, cre, cph]
Maintainer: Nicholas Vietto <nicholasvietto@gmail.com>

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New package RcppUUID with initial version 1.1.2
Package: RcppUUID
Title: Generating Universally Unique Identificators
Version: 1.1.2
Date: 2025-01-31
Description: Using the implementation in Boost C++ library, functions are provided to generate vectors of 'Universally Unique Identifiers (UUID)' from R supporting random (version 4) and name (version 5) 'UUIDs'. The initial repository was <https://gitlab.com/artemklevtsov/rcppuuid>.
URL: https://github.com/eddelbuettel/rcppuuid
BugReports: https://github.com/eddelbuettel/rcppuuid/issues
License: GPL (>= 2)
Imports: Rcpp
Suggests: tinytest, uuid, microbenchmark
LinkingTo: Rcpp, BH
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-01-31 16:58:00 UTC; edd
Author: Artem Klevtsov [aut] , Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2025-01-31 19:40:05 UTC

More information about RcppUUID at CRAN
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Package attachment updated to version 0.4.3 with previous version 0.4.2 dated 2024-07-01

Title: Deal with Dependencies
Description: Manage dependencies during package development. This can retrieve all dependencies that are used in ".R" files in the "R/" directory, in ".Rmd" files in "vignettes/" directory and in 'roxygen2' documentation of functions. There is a function to update the "DESCRIPTION" file of your package with 'CRAN' packages or any other remote package. All functions to retrieve dependencies of ".R" scripts and ".Rmd" or ".qmd" files can be used independently of a package development.
Author: Vincent Guyader [cre, aut] , Sebastien Rochette [aut] , Murielle Delmotte [aut] , Swann Floc'hlay [aut] , ThinkR [cph, fnd]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

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Package rredlist updated to version 1.0.0 with previous version 0.7.1 dated 2022-11-11

Title: 'IUCN' Red List Client
Description: 'IUCN' Red List (<https://api.iucnredlist.org/>) client. The 'IUCN' Red List is a global list of threatened and endangered species. Functions cover all of the Red List 'API' routes. An 'API' key is required.
Author: William Gearty [aut, cre], Scott Chamberlain [aut], rOpenSci [fnd] , Maelle Salmon [ctb], Kevin Cazelles [rev] , Stephanie Hazlitt [rev]
Maintainer: William Gearty <willgearty@gmail.com>

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More information about rredlist at CRAN
Permanent link

Package teal.widgets updated to version 0.4.3 with previous version 0.4.2 dated 2023-12-14

Title: 'shiny' Widgets for 'teal' Applications
Description: Collection of 'shiny' widgets to support 'teal' applications. Enables the manipulation of application layout and plot or table settings.
Author: Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Nikolas Burkoff [aut], Maciej Nasinski [aut], Konrad Pagacz [aut], Junlue Zhao [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

Diff between teal.widgets versions 0.4.2 dated 2023-12-14 and 0.4.3 dated 2025-01-31

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More information about teal.widgets at CRAN
Permanent link

Package robomit updated to version 1.0.7 with previous version 1.0.6 dated 2021-06-22

Title: Robustness Checks for Omitted Variable Bias
Description: Robustness checks for omitted variable bias. The package includes robustness checks proposed by Oster (2019). The 'robomit' package computes i) the bias-adjusted treatment correlation or effect and ii) the degree of selection on unobservables relative to observables (with respect to the treatment variable) that would be necessary to eliminate the result based on the framework by Oster (2019). The code is based on the 'psacalc' command in 'Stata'. Additionally, 'robomit' offers a set of sensitivity analysis and visualization functions. See Oster, E. 2019. <doi:10.1080/07350015.2016.1227711>. Additionally, see Diegert, P., Masten, M. A., & Poirier, A. (2022) for a recent discussion of the topic: <doi:10.48550/arXiv.2206.02303>.
Author: Sergei Schaub [aut, cre] , ETH Zurich [cph]
Maintainer: Sergei Schaub <sergei.schaub@agroscope.admin.ch>

Diff between robomit versions 1.0.6 dated 2021-06-22 and 1.0.7 dated 2025-01-31

 DESCRIPTION             |   16 
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 man/o_beta.Rd           |    6 
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 15 files changed, 1618 insertions(+), 1698 deletions(-)

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Package gdm updated to version 1.6.0-6 with previous version 1.6.0-5 dated 2025-01-10

Title: Generalized Dissimilarity Modeling
Description: A toolkit with functions to fit, plot, summarize, and apply Generalized Dissimilarity Models. Mokany K, Ware C, Woolley SNC, Ferrier S, Fitzpatrick MC (2022) <doi:10.1111/geb.13459> Ferrier S, Manion G, Elith J, Richardson K (2007) <doi:10.1111/j.1472-4642.2007.00341.x>.
Author: Matt Fitzpatrick [aut, cre] , Karel Mokany [aut] , Glenn Manion [aut], Diego Nieto-Lugilde [aut] , Simon Ferrier [aut] , Roozbeh Valavi [ctb], Matthew Lisk [ctb], Chris Ware [ctb], Skip Woolley [ctb], Tom Harwood [ctb]
Maintainer: Matt Fitzpatrick <mfitzpatrick@umces.edu>

Diff between gdm versions 1.6.0-5 dated 2025-01-10 and 1.6.0-6 dated 2025-01-31

 DESCRIPTION              |    8 +++----
 MD5                      |    6 ++---
 NEWS.md                  |    3 ++
 inst/tinytest/test_gdm.R |   48 +++++++++++++++++++++++------------------------
 4 files changed, 34 insertions(+), 31 deletions(-)

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New package xmap with initial version 0.1.0
Package: xmap
Title: Transforming Data Between Statistical Classifications
Version: 0.1.0
Description: Provides support for transformations of numeric aggregates between statistical classifications (e.g. occupation or industry categorisations) using the 'Crossmaps' framework. Implements classes for representing transformations between a source and target classification as graph structures, and methods for validating and applying crossmaps to transform data collected under the source classification into data indexed using the target classification codes. Documentation about the 'Crossmaps' framework is provided in the included vignettes and in Huang (2024, <doi:10.48550/arXiv.2406.14163>).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Maintainer: Cynthia A. Huang <cynthiahqy@gmail.com>
URL: https://github.com/cynthiahqy/xmap, https://cynthiahqy.github.io/xmap/
BugReports: https://github.com/cynthiahqy/xmap/issues
LazyData: true
Depends: R (>= 4.1)
Imports: cli (>= 3.4.0), dplyr (>= 1.1.0), methods, pillar (>= 1.6.0), rlang (>= 1.0.0), tibble, tidyr, tidyselect, vctrs (>= 0.6.0)
Suggests: knitr, purrr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-31 10:30:53 UTC; chua0032
Author: Cynthia A. Huang [aut, cre] , Laura Puzzello [aut, fnd]
Repository: CRAN
Date/Publication: 2025-01-31 16:10:01 UTC

More information about xmap at CRAN
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Package targets updated to version 1.10.1 with previous version 1.10.0 dated 2025-01-13

Title: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines
Description: Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] , Matthew T. Warkentin [ctb], Mark Edmondson [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between targets versions 1.10.0 dated 2025-01-13 and 1.10.1 dated 2025-01-31

 DESCRIPTION                           |    6 ++--
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 tests/testthat/test-class_timestamp.R |   13 ++++++++
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 tests/testthat/test-utils_cli.R       |   11 +++++++
 26 files changed, 208 insertions(+), 84 deletions(-)

More information about targets at CRAN
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Package tarchetypes updated to version 0.12.0 with previous version 0.11.0 dated 2024-11-15

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Rudolf Siegel [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between tarchetypes versions 0.11.0 dated 2024-11-15 and 0.12.0 dated 2025-01-31

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New package StratifiedSampling with initial version 0.4.2
Package: StratifiedSampling
Title: Different Methods for Stratified Sampling
Version: 0.4.2
Description: Integrating a stratified structure in the population in a sampling design can considerably reduce the variance of the Horvitz-Thompson estimator. We propose in this package different methods to handle the selection of a balanced sample in stratified population. For more details see Raphaël Jauslin, Esther Eustache and Yves Tillé (2021) <doi:10.1007/s42081-021-00134-y>. The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé <doi:10.1016/j.jspi.2022.12.003>.
URL: https://github.com/RJauslin/StratifiedSampling
BugReports: https://github.com/RJauslin/StratifiedSampling/issues
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: RcppArmadillo, Rcpp
Imports: Rcpp, transport, proxy, MASS, sampling, Rglpk
Depends: Matrix, R (>= 3.5.0)
Suggests: knitr, rmarkdown, BalancedSampling, stats, testthat, StatMatch, laeken, prettydoc, ggplot2, viridis, geojsonio, sf, rmapshaper
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-31 12:48:04 UTC; Raphael
Author: Raphael Jauslin [aut, cre] , Esther Eustache [aut], Bardia Panahbehagh [aut] , Yves Tille [aut]
Maintainer: Raphael Jauslin <raphael.jauslin@bfs.admin.ch>
Repository: CRAN
Date/Publication: 2025-01-31 16:20:02 UTC

More information about StratifiedSampling at CRAN
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Package HMMpa updated to version 1.0.2 with previous version 1.0.1 dated 2018-11-15

Title: Analysing Accelerometer Data Using Hidden Markov Models
Description: Analysing time-series accelerometer data to quantify length and intensity of physical activity using hidden Markov models. It also contains the traditional cut-off point method. Witowski V, Foraita R, Pitsiladis Y, Pigeot I, Wirsik N (2014). <doi:10.1371/journal.pone.0114089>.
Author: Vitali Witowski [aut], Foraita Ronja [cre, aut]
Maintainer: Foraita Ronja <foraita@leibniz-bips.de>

Diff between HMMpa versions 1.0.1 dated 2018-11-15 and 1.0.2 dated 2025-01-31

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Package distanceHD updated to version 1.2 with previous version 1.0 dated 2025-01-30

Title: Distance Metrics for High-Dimensional Clustering
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.
Author: Jung Ae Lee [aut, cre], Jeongyoun Ahn [aut]
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>

Diff between distanceHD versions 1.0 dated 2025-01-30 and 1.2 dated 2025-01-31

 DESCRIPTION     |   35 ++++++++++++++++-------------------
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More information about distanceHD at CRAN
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Package bioregion updated to version 1.2.0 with previous version 1.1.1-1 dated 2024-11-11

Title: Comparison of Bioregionalisation Methods
Description: The main purpose of this package is to propose a transparent methodological framework to compare bioregionalisation methods based on hierarchical and non-hierarchical clustering algorithms (Kreft & Jetz (2010) <doi:10.1111/j.1365-2699.2010.02375.x>) and network algorithms (Lenormand et al. (2019) <doi:10.1002/ece3.4718> and Leroy et al. (2019) <doi:10.1111/jbi.13674>).
Author: Maxime Lenormand [aut, cre] , Boris Leroy [aut] , Pierre Denelle [aut]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>

Diff between bioregion versions 1.1.1-1 dated 2024-11-11 and 1.2.0 dated 2025-01-31

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Package tidycensus updated to version 1.7.1 with previous version 1.7.0 dated 2025-01-23

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tidycensus versions 1.7.0 dated 2025-01-23 and 1.7.1 dated 2025-01-31

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New package SurvImpute with initial version 0.1.0
Package: SurvImpute
Title: Multiple Imputation for Missing Covariates in Time-to-Event Data
Version: 0.1.0
Maintainer: Qinghua Lian <qlian@mcw.edu>
Description: Generates multiple imputed datasets from a substantive model compatible fully conditional specification model for time-to-event data. Our method assumes that the censoring process also depends on the covariates with missing values. Details will be available in an upcoming publication.
License: GPL-3
Imports: survival, VGAM, MASS
Suggests: mitools
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-31 05:45:42 UTC; qinghua
Author: Qinghua Lian [aut, cre, cph], Soyoung Kim [aut], Michael J. Martens [aut], Kwang Woo Ahn [aut]
Repository: CRAN
Date/Publication: 2025-01-31 15:40:05 UTC

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New package shortr with initial version 1.0.0
Package: shortr
Title: Optimal Subset Identification in Undirected Weighted Network Models
Version: 1.0.0
Description: Identifies what optimal subset of a desired number of items should be retained in a short version of a psychometric instrument to assess the “broadest” proportion of the construct-level content of the set of items included in the original version of the said psychometric instrument. Expects a symmetric adjacency matrix as input (undirected weighted network model). Supports brute force and simulated annealing combinatorial search algorithms.
Depends: R (>= 4.1.0)
Imports: stats, utils
URL: https://github.com/lfourni2/shortr
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-30 20:40:03 UTC; loisfournier
Author: Lois Fournier [aut, cre] , Alexandre Heeren [aut] , Stephanie Baggio [aut] , Luke Clark [aut] , Antonio Verdejo-Garcia [aut] , Jose C. Perales [aut] , Joel Billieux [aut]
Maintainer: Lois Fournier <lois.fournier@unil.ch>
Repository: CRAN
Date/Publication: 2025-01-31 15:30:06 UTC

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New package networksem with initial version 0.2
Package: networksem
Title: Network Structural Equation Modeling
Version: 0.2
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>
Description: Several methods have been developed to integrate structural equation modeling techniques with network data analysis to examine the relationship between network and non-network data. Both node-based and edge-based information can be extracted from the network data to be used as observed variables in structural equation modeling. To facilitate the application of these methods, model specification can be performed in the familiar syntax of the 'lavaan' package, ensuring ease of use for researchers. Technical details and examples can be found at <https://bigsem.psychstat.org>.
License: GPL
Imports: sna, influential, lavaan, network, igraph, methods
Depends: latentnet
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-30 17:35:44 UTC; ziqianxu
Author: Zhiyong Zhang [aut, cre] , Ziqian Xu [aut]
Repository: CRAN
Date/Publication: 2025-01-31 15:20:02 UTC

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New package MultiGrey with initial version 0.1.0
Package: MultiGrey
Title: Fitting and Forecasting of Grey Model for Multivariate Time Series Data
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: Grey model is commonly used in time series forecasting when statistical assumptions are violated with a limited number of data points. The minimum number of data points required to fit a grey model is four observations. This package fits Grey model of First order and One Variable, i.e., GM (1,1) for multivariate time series data and returns the parameters of the model, model evaluation criteria and h-step ahead forecast values for each of the time series variables. For method details see, Akay, D. and Atak, M. (2007) <DOI:10.1016/j.energy.2006.11.014>, Hsu, L. and Wang, C. (2007).<DOI:10.1016/j.techfore.2006.02.005>.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: zoo, stats
NeedsCompilation: no
Packaged: 2025-01-31 09:15:13 UTC; Pradip Basak
Author: Pradip Basak [aut, cph, cre], Nobin Chandra Paul [aut, cph]
Maintainer: Pradip Basak <pradip@ubkv.ac.in>
Repository: CRAN
Date/Publication: 2025-01-31 16:00:02 UTC

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New package mtrank with initial version 0.1-0
Package: mtrank
Title: Ranking using Probabilistic Models and Treatment Choice Criteria
Version: 0.1-0
Date: 2025-01-31
Depends: R (>= 4.0.0), meta (>= 8.0-2), netmeta (>= 3.0-2)
Imports: PlackettLuce, dplyr, magrittr
Suggests: rmarkdown, knitr
Maintainer: Theodoros Evrenoglou <theodoros.evrenoglou@uniklinik-freiburg.de>
URL: https://github.com/TEvrenoglou/mtrank
Description: Implementation of a novel frequentist approach to produce clinically relevant treatment hierarchies in network meta-analysis. The method is based on treatment choice criteria (TCC) and probabilistic ranking models, as described by Evrenoglou et al. (2024) <DOI:10.48550/arXiv.2406.10612>. The TCC are defined using a rule based on the minimal clinically important difference. Using the defined TCC, the study-level data (i.e., treatment effects and standard errors) are first transformed into a preference format, indicating either a treatment preference (e.g., treatment A > treatment B) or a tie (treatment A = treatment B). The preference data are then synthesized using a probabilistic ranking model, which estimates the latent ability parameter of each treatment and produces the final treatment hierarchy. This parameter represents each treatment’s ability to outperform all the other competing treatments in the network. Consequently, larger ability estimates indicate higher position [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-31 08:00:28 UTC; sc
Author: Theodoros Evrenoglou [aut, cre] , Guido Schwarzer [aut]
Repository: CRAN
Date/Publication: 2025-01-31 15:50:01 UTC

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New package MRMCbinary with initial version 1.0.4
Package: MRMCbinary
Title: Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests
Version: 1.0.4
Description: The goal of 'MRMCbinary' is to compare the performance of diagnostic tests (i.e., sensitivity and specificity) for binary outcomes in multi-reader multi-case (MRMC) studies. It is based on conditional logistic regression and Cochran’s Q test (or McNemar’s test when the number of modalities is equal to 2).
License: MIT + file LICENSE
URL: https://github.com/seungjae2525/MRMCbinary
BugReports: https://github.com/seungjae2525/MRMCbinary/issues
Depends: R (>= 4.2.0)
Imports: DescTools, stats, survival
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-31 04:45:19 UTC; seung
Author: Seungjae Lee [aut, cre] , Woojoo Lee [aut]
Maintainer: Seungjae Lee <seungjae2525@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 15:40:08 UTC

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Package MBBEFDLite updated to version 0.0.5 with previous version 0.0.4 dated 2024-07-24

Title: Statistical Functions for the Maxwell-Boltzmann-Bose-Einstein-Fermi-Dirac (MBBEFD) Family of Distributions
Description: Provides probability mass, distribution, quantile, random variate generation, and method-of-moments parameter fitting for the MBBEFD family of distributions used in insurance modeling as described in Bernegger (1997) <doi:10.2143/AST.27.1.563208> without any external dependencies.
Author: Avraham Adler [aut, cre, cph]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

Diff between MBBEFDLite versions 0.0.4 dated 2024-07-24 and 0.0.5 dated 2025-01-31

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Package hardhat updated to version 1.4.1 with previous version 1.4.0 dated 2024-06-02

Title: Construct Modeling Packages
Description: Building modeling packages is hard. A large amount of effort generally goes into providing an implementation for a new method that is efficient, fast, and correct, but often less emphasis is put on the user interface. A good interface requires specialized knowledge about S3 methods and formulas, which the average package developer might not have. The goal of 'hardhat' is to reduce the burden around building new modeling packages by providing functionality for preprocessing, predicting, and validating input.
Author: Hannah Frick [aut, cre] , Davis Vaughan [aut], Max Kuhn [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>

Diff between hardhat versions 1.4.0 dated 2024-06-02 and 1.4.1 dated 2025-01-31

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New package ggsurveillance with initial version 0.1.1
Package: ggsurveillance
Title: Tools and 'ggplot2' Extensions for Infectious Disease Surveillance and Outbreak Investigation
Version: 0.1.1
Description: Create epicurves or epigantt charts in 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation. Includes functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2'. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).
License: GPL (>= 3)
URL: https://ggsurveillance.biostats.dev, https://github.com/biostats-dev/ggsurveillance
BugReports: https://github.com/biostats-dev/ggsurveillance/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, forcats, ggplot2, glue, ISOweek, lubridate, rlang, scales, stringr, tidyr, tidyselect, tsibble
Suggests: Hmisc, knitr, outbreaks, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-31 08:54:46 UTC; Alex
Author: Alexander Bartel [aut, cre]
Maintainer: Alexander Bartel <alexander.bartel@fu-berlin.de>
Repository: CRAN
Date/Publication: 2025-01-31 15:50:05 UTC

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Package ggfootball updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-30

Title: Plotting Expected Goals (xG) Stats with 'Understat' Data
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.
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>

Diff between ggfootball versions 0.1.0 dated 2025-01-30 and 0.2.0 dated 2025-01-31

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Package bibliorefer updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-08

Title: Generator of Main Scientific References
Description: Generates a list, with a size defined by the user, containing the main scientific references and the frequency distribution of authors and journals in the list obtained. The database is a dataframe with academic production metadata made available by bibliographic collections such as Scopus, Web of Science, etc. The temporal evolution of scientific production on a given topic is presented and ordered lists of articles are constructed by number of citations and of authors and journals by level of productivity. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>.
Author: Marcio Eustaquio [aut, cre]
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>

Diff between bibliorefer versions 0.1.0 dated 2024-03-08 and 0.1.1 dated 2025-01-31

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Package IndGenErrors updated to version 0.1.6 with previous version 0.1.4 dated 2023-06-30

Title: Tests of Independence Between Innovations of Generalized Error Models
Description: Computation of test statistics of independence between (continuous) innovations of time series. They can be used with stochastic volatility models and Hidden Markov Models (HMM). This improves the results in Duchesne, Ghoudi & Remillard (2012) <doi:10.1002/cjs.11141>.
Author: Kilani Ghoudi [aut, ctb, cph], Bouchra R. Nasri [aut, ctb, cph], Bruno N Remillard [aut, cre, cph], Pierre Duchesne [aut, ctb, cph]
Maintainer: Bruno N Remillard <bruno.remillard@hec.ca>

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Package iadf updated to version 0.1.3 with previous version 0.1.2 dated 2021-05-24

Title: Analysis of Intra Annual Density Fluctuations
Description: Calculate false ring proportions from data frames of intra annual density fluctuations.
Author: Konrad Mayer [aut, cre], Filipe Campelo [aut]
Maintainer: Konrad Mayer <konrad.mayer@gmail.com>

Diff between iadf versions 0.1.2 dated 2021-05-24 and 0.1.3 dated 2025-01-31

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New package zigg with initial version 0.0.1
Package: zigg
Title: Lightweight Interfaces to the 'Ziggurat' Pseudo Random Number Generator
Version: 0.0.1
Date: 2025-01-30
Description: The 'Ziggurat' pseudo-random number generator (or PRNG), introduced by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>) and further improved by Leong et al (2005, <doi:10.18637/jss.v012.i07>), offers a lightweight and very fast PRNG for the normal, exponential, and uniform distributions. It is provided here in a small zero-dependency package. It can be used from R as well as from 'C/C++' code in other packages as is demonstrated by four included sample packages using four distinct methods to use the PRNG presented here in client package. The implementation is influenced by our package 'RcppZiggurat' which offers a comparison among multiple alternative implementations but presented here in a lighter-weight implementation that is easier to use by other packages. The PRNGs provided are generally faster than the ones in base R: on our machine, the relative gains for normal, exponential and uniform are on the order of 7.4, 5.2 and 4.7 times faster than base R. However, th [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-01-30 12:58:26 UTC; edd
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2025-01-31 11:20:02 UTC

More information about zigg at CRAN
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New package rmonocypher with initial version 0.1.8
Package: rmonocypher
Title: Easy Encryption of R Objects using Strong Modern Cryptography
Version: 0.1.8
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Encrypt R objects to a raw vector or file using modern cryptographic techniques. Password-based key derivation is with 'Argon2' (<https://en.wikipedia.org/wiki/Argon2>). Objects are serialized and then encrypted using 'XChaCha20-Poly1305' (<https://en.wikipedia.org/wiki/ChaCha20-Poly1305>) which follows RFC 8439 for authenticated encryption (<https://en.wikipedia.org/wiki/Authenticated_encryption>). Cryptographic functions are provided by the included 'monocypher' 'C' library (<https://monocypher.org>).
URL: https://github.com/coolbutuseless/rmonocypher
BugReports: https://github.com/coolbutuseless/rmonocypher/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.4.0)
Copyright: This package includes the 'monocypher' library written by Loup Vaillant, Michael Savage and Fabio Scotomi. This library is included under its CC-0 license. See file 'inst/LICENSE-monocypher.md' for detailed licensing information.
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-30 10:03:19 UTC; mike
Author: Mike Cheng [aut, cre, cph], Loup Vaillant [aut, cph] , Michael Savage [aut, cph] , Fabio Scotomi [aut, cph]
Repository: CRAN
Date/Publication: 2025-01-31 11:10:02 UTC

More information about rmonocypher at CRAN
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New package forgts with initial version 0.0.1
Package: forgts
Title: Convert Formatted Spreadsheets to Presentation-Ready Display Tables
Version: 0.0.1
Description: Reads cell contents plus formatting from a spreadsheet file and creates an editable 'gt' object with the same data and formatting. Supports the most commonly-used cell and text styles including colors, fills, font weights and decorations, and borders.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, gt, purrr, readxl, rlang, tibble, tidyr, tidyxl
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/luisDVA/forgts, https://luisdva.github.io/forgts/
BugReports: https://github.com/luisDVA/forgts/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-30 17:54:16 UTC; luisd
Author: Luis D. Verde Arregoitia [aut, cre, cph]
Maintainer: Luis D. Verde Arregoitia <luis@liomys.mx>
Repository: CRAN
Date/Publication: 2025-01-31 11:40:04 UTC

More information about forgts at CRAN
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New package DDPstar with initial version 1.0-1
Package: DDPstar
Title: Density Regression via Dirichlet Process Mixtures of Normal Structured Additive Regression Models
Version: 1.0-1
Date: 2025-01-30
Imports: stats, grDevices, graphics, splines, moments, Matrix, parallel, MASS
Depends: R (>= 3.5.0)
Description: Implements a flexible, versatile, and computationally tractable model for density regression based on a single-weights dependent Dirichlet process mixture of normal distributions model for univariate continuous responses. The model assumes an additive structure for the mean of each mixture component and the effects of continuous covariates are captured through smooth nonlinear functions. The key components of our modelling approach are penalised B-splines and their bivariate tensor product extension. The proposed method can also easily deal with parametric effects of categorical covariates, linear effects of continuous covariates, interactions between categorical and/or continuous covariates, varying coefficient terms, and random effects. Please see Rodriguez-Alvarez, Inacio et al. (2025) for more details.
License: GPL
NeedsCompilation: no
Packaged: 2025-01-30 11:41:24 UTC; mrodriguez
Author: Maria Xose Rodriguez-Alvarez [aut, cre] , Vanda Inacio [aut]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.gal>
Repository: CRAN
Date/Publication: 2025-01-31 11:10:09 UTC

More information about DDPstar at CRAN
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New package compdb with initial version 0.0.1
Package: compdb
Title: Generate Compilation Database for Use with 'Clang' Tools
Version: 0.0.1
Description: Many modern C/C++ development tools in the 'clang' toolchain, such as 'clang-tidy' or 'clangd', rely on the presence of a compilation database in JSON format <https://clang.llvm.org/docs/JSONCompilationDatabase.html>. This package temporarily injects additional build flags into the R build process to generate such a compilation database.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
OS_type: unix
SystemRequirements: Clang >= 5.0
Imports: tools, callr, cli, pkgbuild, utils, withr
URL: https://github.com/cyianor/r-compdb
BugReports: https://github.com/cyianor/r-compdb/issues
Suggests: fs, jsonlite, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-30 10:13:09 UTC; felixheld
Author: Felix Held [aut, cre]
Maintainer: Felix Held <felix.held@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 11:10:06 UTC

More information about compdb at CRAN
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New package YEAB with initial version 1.0.6
Package: YEAB
Title: Analyze Data from Analysis of Behavior Experiments
Version: 1.0.6
Description: Analyze data from behavioral experiments conducted using 'MED-PC' software developed by Med Associates Inc. Includes functions to fit exponential and hyperbolic models for delay discounting tasks, exponential mixtures for inter-response times, and Gaussian plus ramp models for peak procedure data, among others. For more details, refer to Alcala et al. (2023) <doi:10.31234/osf.io/8aq2j>.
Encoding: UTF-8
Imports: cluster, doParallel, data.table, dplyr, FNN, foreach, ggplot2, boot, grid, gridExtra, infotheo, ks, magrittr, minpack.lm, Polychrome, scales, sfsmisc, MASS, KernSmooth, zoo, usethis, stats, utils
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Author: Emmanuel Alcala [aut, cre], Rodrigo Sosa [aut], Victor Reyes [aut]
Maintainer: Emmanuel Alcala <jealcalat@gmail.com>
Date: 2025-01-23
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-29 19:10:08 UTC; jealcalat
Repository: CRAN
Date/Publication: 2025-01-31 11:00:14 UTC

More information about YEAB at CRAN
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Package tramvs updated to version 0.0-7 with previous version 0.0-6 dated 2024-09-04

Title: Optimal Subset Selection for Transformation Models
Description: Greedy optimal subset selection for transformation models (Hothorn et al., 2018, <doi:10.1111/sjos.12291> ) based on the abess algorithm (Zhu et al., 2020, <doi:10.1073/pnas.2014241117> ). Applicable to models from packages 'tram' and 'cotram'. Application to shift-scale transformation models are described in Siegfried et al. (2024, <doi:10.1080/00031305.2023.2203177>).
Author: Lucas Kook [aut, cre] , Sandra Siegfried [ctb], Torsten Hothorn [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

Diff between tramvs versions 0.0-6 dated 2024-09-04 and 0.0-7 dated 2025-01-31

 DESCRIPTION         |   17 ++++---
 MD5                 |    8 +--
 R/tramvs.R          |  115 +++++++++++++++++++++++++++++++++-------------------
 build/vignette.rds  |binary
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More information about tramvs at CRAN
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New package survNMA with initial version 1.1-1
Package: survNMA
Title: Network Meta-Analysis Combining Survival and Count Outcomes
Version: 1.1-1
Date: 2025-01-30
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Description: Network meta-analysis for survival outcome data often involves several studies only involve dichotomized outcomes (e.g., the numbers of event and sample sizes of individual arms). To combine these different outcome data, Woods et al. (2010) <doi:10.1186/1471-2288-10-54> proposed a Bayesian approach using complicated hierarchical models. Besides, frequentist approaches have been alternative standard methods for the statistical analyses of network meta-analysis, and the methodology has been well established. We proposed an easy-to-implement method for the network meta-analysis based on the frequentist framework in Noma and Maruo (2025) <doi:10.1101/2025.01.23.25321051>. This package involves some convenient functions to implement the simple synthesis method.
URL: https://doi.org/10.1101/2025.01.23.25321051
Depends: R (>= 3.5.0)
Imports: stats, netmeta
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-30 07:22:27 UTC; Hisashi
Author: Hisashi Noma [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-31 11:00:02 UTC

More information about survNMA at CRAN
Permanent link

Package popEpi updated to version 0.4.13 with previous version 0.4.12 dated 2024-05-10

Title: Functions for Epidemiological Analysis using Population Data
Description: Enables computation of epidemiological statistics, including those where counts or mortality rates of the reference population are used. Currently supported: excess hazard models (Dickman, Sloggett, Hills, and Hakulinen (2012) <doi:10.1002/sim.1597>), rates, mean survival times, relative/net survival (in particular the Ederer II (Ederer and Heise (1959)) and Pohar Perme (Pohar Perme, Stare, and Esteve (2012) <doi:10.1111/j.1541-0420.2011.01640.x>) estimators), and standardized incidence and mortality ratios, all of which can be easily adjusted for by covariates such as age. Fast splitting and aggregation of 'Lexis' objects (from package 'Epi') and other computations achieved using 'data.table'.
Author: Joonas Miettinen [cre, aut] , Matti Rantanen [aut], Karri Seppa [ctb]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>

Diff between popEpi versions 0.4.12 dated 2024-05-10 and 0.4.13 dated 2025-01-31

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 NEWS.md                                                |    5 
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 man/stdpop101.Rd                                       |    4 
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 man/survtab_ag.Rd                                      |  199 +--
 man/try2int.Rd                                         |    4 
 tests/testthat/test_Surv.R                             |    4 
 tests/testthat/test_aggre.R                            |  110 +-
 tests/testthat/test_epi.R                              |   10 
 tests/testthat/test_expo.R                             |   38 
 tests/testthat/test_lexpand.R                          |  218 ++--
 tests/testthat/test_prevtab.R                          |   16 
 tests/testthat/test_rate.R                             |  112 +-
 tests/testthat/test_relpois_mean_curve.R               |   24 
 tests/testthat/test_sir.R                              |  232 ++--
 tests/testthat/test_splitLexisDT.R                     |   70 -
 tests/testthat/test_splitMulti.R                       |   82 -
 tests/testthat/test_splitting_attributes.R             |   36 
 tests/testthat/test_splitting_breaks.R                 |   36 
 tests/testthat/test_splitting_randomly_on_fixed_data.R |   16 
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 tests/testthat/test_survtab_adjusted.R                 |   60 -
 tests/testthat/test_survtab_bad_surv_ints.R            |   34 
 tests/testthat/test_survtab_relative.R                 |   97 -
 tests/testthat/test_survtab_usage.R                    |  256 ++--
 tests/testthat/test_utils.R                            |  282 ++---
 tests/testthat/test_weighter.R                         |   90 -
 121 files changed, 6271 insertions(+), 6294 deletions(-)

More information about popEpi at CRAN
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New package fkbma with initial version 0.1.0
Package: fkbma
Title: Free Knot-Bayesian Model Averaging
Version: 0.1.0
Maintainer: Lara Maleyeff <lara.maleyeff@mcgill.ca>
Description: Analysis of Bayesian adaptive enrichment clinical trial using Free-Knot Bayesian Model Averaging (FK-BMA) method of Maleyeff et al. (2024) for Gaussian data. Maleyeff, L., Golchi, S., Moodie, E. E. M., & Hudson, M. (2024) "An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of predictive variables" <doi:10.1093/biomtc/ujae141>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: rstan, matrixStats, splines, dplyr, coda, MASS, ggplot2, cowplot, rlang
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-01-29 20:34:44 UTC; laramaleyeff
Author: Lara Maleyeff [aut, cre], Shirin Golchi [aut], Erica E. M. Moodie [aut]
Repository: CRAN
Date/Publication: 2025-01-31 10:50:02 UTC

More information about fkbma at CRAN
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Package exametrika updated to version 1.2.0 with previous version 1.1.0 dated 2024-11-22

Title: Test Theory Analysis and Biclustering
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

Diff between exametrika versions 1.1.0 dated 2024-11-22 and 1.2.0 dated 2025-01-31

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Package editbl updated to version 1.1.0 with previous version 1.0.5 dated 2024-05-21

Title: 'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny'
Description: The core of this package is a function eDT() which enhances DT::datatable() such that it can be used to interactively modify data in 'shiny'. By the use of generic 'dplyr' methods it supports many types of data storage, with relational databases ('dbplyr') being the main use case.
Author: Jasper Schelfhout [aut, cre], Maxim Nazarov [rev], Daan Seynaeve [rev], Lennart Tuijnder [rev]
Maintainer: Jasper Schelfhout <jasper.schelfhout@openanalytics.eu>

Diff between editbl versions 1.0.5 dated 2024-05-21 and 1.1.0 dated 2025-01-31

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Package ecospat updated to version 4.1.2 with previous version 4.1.1 dated 2024-07-04

Title: Spatial Ecology Miscellaneous Methods
Description: Collection of R functions and data sets for the support of spatial ecology analyses with a focus on pre, core and post modelling analyses of species distribution, niche quantification and community assembly. Written by current and former members and collaborators of the ecospat group of Antoine Guisan, Department of Ecology and Evolution (DEE) and Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Switzerland. Read Di Cola et al. (2016) <doi:10.1111/ecog.02671> for details.
Author: Olivier Broennimann [cre, aut, ctb], Valeria Di Cola [aut, ctb], Blaise Petitpierre [ctb], Frank Breiner [ctb], Daniel Scherrer [ctb], Manuela D`Amen [ctb], Christophe Randin [ctb], Robin Engler [ctb], Wim Hordijk [ctb], Heidi Mod [ctb], Julien Potti [...truncated...]
Maintainer: Olivier Broennimann <olivier.broennimann@unil.ch>

Diff between ecospat versions 4.1.1 dated 2024-07-04 and 4.1.2 dated 2025-01-31

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New package connectcreds with initial version 0.1.0
Package: connectcreds
Title: Manage 'OAuth' Credentials from 'Posit Connect'
Version: 0.1.0
Description: A toolkit for making use of credentials mediated by 'Posit Connect'. It handles the details of communicating with the Connect API correctly, 'OAuth' token caching, and refresh behaviour.
License: MIT + file LICENSE
Imports: cli, httr2 (>= 1.1.0), rlang (>= 1.1.0)
Suggests: testthat (>= 3.0.0), withr
Encoding: UTF-8
URL: https://github.com/posit-dev/connectcreds
BugReports: https://github.com/posit-dev/connectcreds/issues
NeedsCompilation: no
Packaged: 2025-01-30 02:24:37 UTC; aaron
Author: Aaron Jacobs [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Aaron Jacobs <aaron.jacobs@posit.co>
Repository: CRAN
Date/Publication: 2025-01-31 11:00:11 UTC

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Package comets updated to version 0.1-1 with previous version 0.1-0 dated 2024-12-06

Title: Covariance Measure Tests for Conditional Independence
Description: Covariance measure tests for conditional independence testing against conditional covariance and nonlinear conditional mean alternatives. The package implements versions of the generalised covariance measure test (Shah and Peters, 2020, <doi:10.1214/19-aos1857>) and projected covariance measure test (Lundborg et al., 2023, <doi:10.1214/24-AOS2447>). The tram-GCM test, for censored responses, is implemented including the Cox model and survival forests (Kook et al., 2024, <doi:10.1080/01621459.2024.2395588>). Application examples to variable significance testing and modality selection can be found in Kook and Lundborg (2024, <doi:10.1093/bib/bbae475>).
Author: Lucas Kook [aut, cre] , Anton Rask Lundborg [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

Diff between comets versions 0.1-0 dated 2024-12-06 and 0.1-1 dated 2025-01-31

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Package tramicp updated to version 0.1-0 with previous version 0.0-2 dated 2024-03-14

Title: Model-Based Causal Feature Selection for General Response Types
Description: Extends invariant causal prediction (Peters et al., 2016, <doi:10.1111/rssb.12167>) to generalized linear and transformation models (Hothorn et al., 2018, <doi:10.1111/sjos.12291>). The methodology is described in Kook et al. (2023, <doi:10.1080/01621459.2024.2395588>).
Author: Lucas Kook [aut, cre] , Sorawit Saengkyongam [ctb], Anton Rask Lundborg [ctb], Torsten Hothorn [ctb], Jonas Peters [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

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New package stochvolTMB with initial version 0.3.0
Package: stochvolTMB
Title: Likelihood Estimation of Stochastic Volatility Models
Version: 0.3.0
Date: 2025-01-29
Description: Parameter estimation for stochastic volatility models using maximum likelihood. The latent log-volatility is integrated out of the likelihood using the Laplace approximation. The models are fitted via 'TMB' (Template Model Builder) (Kristensen, Nielsen, Berg, Skaug, and Bell (2016) <doi:10.18637/jss.v070.i05>).
License: GPL-3
Depends: R (>= 3.5.0)
Imports: TMB, ggplot2, sn, stats, data.table, MASS
LinkingTo: RcppEigen, TMB
Suggests: testthat (>= 2.1.0), shiny, knitr, rmarkdown, stochvol
URL: https://github.com/JensWahl/stochvolTMB
BugReports: https://github.com/JensWahl/stochvolTMB/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-31 06:56:05 UTC; jens
Author: Jens Wahl [aut, cre]
Maintainer: Jens Wahl <jens.c.wahl@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-31 09:30:02 UTC

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Package riem updated to version 1.0.0 with previous version 0.3.2 dated 2024-07-26

Title: Accesses Weather Data from the Iowa Environment Mesonet
Description: Allows to get weather data from Automated Surface Observing System (ASOS) stations (airports) in the whole world thanks to the Iowa Environment Mesonet website.
Author: Maelle Salmon [aut, cre] , Brooke Anderson [rev] , CHAI Project [fnd] , rOpenSci [fnd] , Daryl Herzmann [ctb], Jonathan Elchison [aut]
Maintainer: Maelle Salmon <maelle.salmon@yahoo.se>

Diff between riem versions 0.3.2 dated 2024-07-26 and 1.0.0 dated 2025-01-31

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Package mvp updated to version 1.0-18 with previous version 1.0-14 dated 2023-03-19

Title: Fast Symbolic Multivariate Polynomials
Description: Fast manipulation of symbolic multivariate polynomials using the 'Map' class of the Standard Template Library. The package uses print and coercion methods from the 'mpoly' package but offers speed improvements. It is comparable in speed to the 'spray' package for sparse arrays, but retains the symbolic benefits of 'mpoly'. To cite the package in publications, use Hankin 2022 <doi:10.48550/ARXIV.2210.15991>. Uses 'disordR' discipline.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between mvp versions 1.0-14 dated 2023-03-19 and 1.0-18 dated 2025-01-31

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Package geonapi updated to version 0.8 with previous version 0.7-2 dated 2024-03-21

Title: 'GeoNetwork' API R Interface
Description: Provides an R interface to the 'GeoNetwork' API (<https://geonetwork-opensource.org/#api>) allowing to upload and publish metadata in a 'GeoNetwork' web-application and expose it to OGC CSW.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between geonapi versions 0.7-2 dated 2024-03-21 and 0.8 dated 2025-01-31

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Package admiralvaccine updated to version 0.4.0 with previous version 0.3.0 dated 2024-08-29

Title: Vaccine Extension Package for ADaM in 'R' Asset Library
Description: Programming vaccine specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. Flat model is followed as per Center for Biologics Evaluation and Research (CBER) guidelines for creating vaccine specific domains. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>). The package is an extension package of the 'admiral' package.
Author: Sukalpo Saha [aut, cre], Arjun Rubalingam [aut], Ben Straub [aut], Vikram S [aut], Dhivya Kanagaraj [aut], Federico Baratin [aut], Yamini Purna Bollu [aut], Ilse Augustyns [aut], Kalyani Bodicherla [aut], Hilde Delanghe [aut], Lee Armishaw [aut], Nee [...truncated...]
Maintainer: Sukalpo Saha <sukalpo.saha@pfizer.com>

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Package ggstackplot updated to version 0.4.1 with previous version 0.4 dated 2025-01-14

Title: Create Overlapping Stacked Plots
Description: Easily create overlapping grammar of graphics plots for scientific data visualization. This style of plotting is particularly common in climatology and oceanography research communities.
Author: Sebastian Kopf [aut, cre, cph] , Tristan Caro [aut] , Jamie McFarlin [aut] , Jon Raberg [aut]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>

Diff between ggstackplot versions 0.4 dated 2025-01-14 and 0.4.1 dated 2025-01-31

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Package BigDataPE (with last version 0.0.9) was removed from CRAN

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

2024-12-16 0.0.9

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Package Copula.surv updated to version 1.8 with previous version 1.7 dated 2024-10-26

Title: Analysis of Bivariate Survival Data Based on Copulas
Description: Simulating bivariate survival data from copula models. Estimation of the association parameter in copula models. Two different ways to estimate the association parameter in copula models are implemented. A goodness-of-fit test for a given copula model is implemented. See Emura, Lin and Wang (2010) <doi:10.1016/j.csda.2010.03.013> for details.
Author: Takeshi Emura [aut, cre]
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

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Package TailClassifier updated to version 0.1.2 with previous version 0.1.1 dated 2023-10-30

Title: Tail Classifier
Description: The function TailClassifier() suggests one of the following types of tail for your discrete data: 1) Power decaying tail; 2) Sub-exponential decaying tail; and 3) Near-exponential decaying tail. The function also provides an estimate of the parameter for the classified-distribution as a reference.
Author: Jialin Zhang [aut, cph, cre]
Maintainer: Jialin Zhang (JZ) <jzhang@math.msstate.edu>

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Package emmeans updated to version 1.10.7 with previous version 1.10.6 dated 2024-12-12

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Balazs Banfai [ctb], Ben Bolker [ctb], Paul Buerkner [ctb], Iago Gine-Vazquez [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Julia Piaskowski [ctb], Hannes Riebl [ctb], Hen [...truncated...]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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