Wed, 04 Nov 2026

Package bizdays updated to version 1.0.18 with previous version 1.0.17 dated 2025-01-08

Title: Business Days Calculations and Utilities
Description: Business days calculations based on a list of holidays and nonworking weekdays. Quite useful for fixed income and derivatives pricing.
Author: Wilson Freitas [aut, cre]
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

Diff between bizdays versions 1.0.17 dated 2025-01-08 and 1.0.18 dated 2026-11-04

 DESCRIPTION                               |   11 
 LICENSE                                   |    4 
 MD5                                       |  116 -
 NAMESPACE                                 |  138 -
 NEWS.md                                   |  404 ++---
 R/R-bizdays-package.r                     |   66 
 R/adjust.date.R                           |  368 ++--
 R/bizdays.R                               |  320 ++--
 R/bizdays.options.R                       |  142 -
 R/bizdiff.R                               |   82 -
 R/bizseq.R                                |   96 -
 R/calendar-export.R                       |  202 +-
 R/calendar.R                              |  892 +++++------
 R/create-calendars.R                      |  490 +++---
 R/getbizdays.R                            |   98 -
 R/getdate.R                               |  700 ++++----
 R/is.bizday.R                             |   90 -
 R/load-buildin-calendars.R                |   58 
 R/offset.R                                |  148 -
 R/zzz.R                                   |   10 
 README.md                                 |  116 -
 build/vignette.rds                        |binary
 inst/doc/Creating_Calendars.R             |   84 -
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 inst/doc/Financial_and_non_financial.R    |  100 -
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 inst/doc/bizdays.R                        |   90 -
 inst/doc/bizdays.Rmd                      |  216 +-
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 inst/extdata/Brazil_ANBIMA.json           | 2006 ++++++++++++-------------
 inst/extdata/Brazil_B3.json               | 1178 +++++++--------
 inst/extdata/Brazil_BMF.json              | 2344 +++++++++++++++---------------
 inst/extdata/actual.json                  |    6 
 inst/extdata/weekends.json                |   18 
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 man/bizdayse.Rd                           |  114 -
 man/bizdiff.Rd                            |   66 
 man/bizseq.Rd                             |   68 
 man/calendar-holidays-weekdays.Rd         |   90 -
 man/calendar-register.Rd                  |   84 -
 man/create.calendar.Rd                    |  250 +--
 man/getbizdays.Rd                         |   68 
 man/getdate.Rd                            |  138 -
 man/is.bizday.Rd                          |   78 
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 man/offset.Rd                             |  114 -
 man/other-calendars.Rd                    |  293 +--
 tests/testthat/test-bizdays.R             |  280 +--
 tests/testthat/test-calendar.R            | 1103 +++++++-------
 tests/testthat/test-getbizdays.R          |  188 +-
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 tests/testthat/test-parsedate.R           |  150 -
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 vignettes/Creating_Calendars.Rmd          |  194 +-
 vignettes/bizdays.Rmd                     |  216 +-
 59 files changed, 8947 insertions(+), 8884 deletions(-)

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New package triplclust with initial version 2.0.1
Package: triplclust
Title: Algorithm for Curve Detection in 3D Point Clouds
Version: 2.0.1
Date: 2026-10-18
Maintainer: Christoph Dalitz <christoph.dalitz@hs-niederrhein.de>
Description: The TriplClust algorithm assigns each point in a 3D or 2D point cloud a cluster label representing curves or noise. It can be used to detect curves in point clouds. TriplClust is based on hierarchical clustering of point triplets and is explained in Dalitz et al. (2019) <doi:10.5201/ipol.2019.234>.
Depends: R (>= 3.5.0)
License: BSD_2_clause + file LICENSE
URL: https://github.com/cdalitz/triplclust/
LazyData: true
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-10-22 09:59:28 UTC; dalitz
Author: Christoph Dalitz [aut, cre], Jens Wilberg [aut, cph], Lukas Aymans [aut, cph], Daniel Muellner [aut, cph], Vitali Krieger [aut]
Repository: CRAN
Date/Publication: 2026-11-04 10:10:02 UTC

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Package spacyr updated to version 1.4.0 with previous version 1.3.0 dated 2023-12-08

Title: Wrapper to the 'spaCy' 'NLP' Library
Description: An R wrapper to the 'Python' 'spaCy' 'NLP' library, from <https://spacy.io>.
Author: Kenneth Benoit [cre, aut, cph] , Akitaka Matsuo [aut] , Johannes Gruber [ctb] , European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between spacyr versions 1.3.0 dated 2023-12-08 and 1.4.0 dated 2026-11-04

 DESCRIPTION                              |   16 +-
 MD5                                      |   62 ++++----
 NAMESPACE                                |    1 
 NEWS.md                                  |   31 ++++
 R/spacy_extract_entity.R                 |    5 
 R/spacy_extract_nounphrases.R            |    5 
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Package PolyTrend readmission to version 1.3 with previous version 1.2 dated 2016-05-31

Title: Trend Classification Algorithm
Description: Classifies trends as linear, quadratic, cubic, concealed, or no-trend. Concealed trends have a quadratic or cubic form, but their net change between the beginning and end of the time period is not statistically significant. The no-trend category includes linear trends with a statistically insignificant slope. The method is described in Jamali et al. (2014) <doi:10.1016/j.rse.2013.10.019>.
Author: Sadegh Jamali [aut, cre], Hristo Tomov [aut]
Maintainer: Sadegh Jamali <sadegh.jamali@tft.lth.se>

This is a re-admission after prior archival of version 1.2 dated 2016-05-31

Diff between PolyTrend versions 1.2 dated 2016-05-31 and 1.3 dated 2026-11-04

 PolyTrend-1.2/PolyTrend/R/PolyTrend-internal.R |only
 PolyTrend-1.3/PolyTrend/DESCRIPTION            |   26 +++++++++++++++++--------
 PolyTrend-1.3/PolyTrend/MD5                    |    3 --
 3 files changed, 19 insertions(+), 10 deletions(-)

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New package shiny.element with initial version 0.3.1
Package: shiny.element
Title: 'Element Plus' Components for 'shiny'
Version: 0.3.1
Description: 'Element Plus' ('Vue' 3) components for 'shiny': forms, tables, trees, menus, dialog boxes and the rest, each reporting to the server and updated from it like any other 'shiny' input. 'Element Plus' and 'Vue' are bundled, so applications work offline.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1)
Imports: htmltools, shiny, jsonlite, uuid, stats, bslib, grDevices, utils, jquerylib
Suggests: testthat (>= 3.0.0), shinyjs, shinyvalidate, shinytest2, fontawesome, callr, chromote, httpuv, pkgload, promises, withr, knitr, rmarkdown, DT, later
VignetteBuilder: knitr
URL: https://kaipingyang.github.io/shiny.element/, https://github.com/kaipingyang/shiny.element
BugReports: https://github.com/kaipingyang/shiny.element/issues
NeedsCompilation: no
Packaged: 2026-10-22 03:43:15 UTC; kaiping.yang
Author: Kaiping Yang [aut, cre], Element Plus team [ctb, cph] , Evan You [ctb, cph]
Maintainer: Kaiping Yang <1260146556@qq.com>
Repository: CRAN
Date/Publication: 2026-11-04 09:20:02 UTC

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Package scCAN readmission to version 1.0.6 with previous version 1.0.5 dated 2024-06-13

Title: Single-Cell Clustering using Autoencoder and Network Fusion
Description: A single-cell Clustering method using 'Autoencoder' and Network fusion ('scCAN') Bang Tran (2022) <doi:10.1038/s41598-022-14218-6> for segregating the cells from the high-dimensional 'scRNA-Seq' data. The software automatically determines the optimal number of clusters and then partitions the cells in a way such that the results are robust to noise and dropouts. 'scCAN' is fast and it supports Windows, Linux, and Mac OS.
Author: Bang Tran [aut, cre], Duc Tran [aut], Hung Nguyen [aut], Tin Nguyen [fnd]
Maintainer: Bang Tran <s.tran@csus.edu>

This is a re-admission after prior archival of version 1.0.5 dated 2024-06-13

Diff between scCAN versions 1.0.5 dated 2024-06-13 and 1.0.6 dated 2026-11-04

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 R/estimateNumberOfClustersGivenGraph.R |   94 
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New package quartodown with initial version 0.1.0
Package: quartodown
Title: Package Websites Built Entirely with 'Quarto'
Version: 0.1.0
Description: Builds package websites with 'Quarto'. The whole site, help pages and vignettes included, is rendered by 'Quarto', so every 'Quarto' feature works, from callouts to code annotations. Functions mentioned in code link to their help pages, with hover tooltips.
License: MIT + file LICENSE
URL: https://bjarkehautop.github.io/quartodown/, https://github.com/bjarkehautop/quartodown
BugReports: https://github.com/bjarkehautop/quartodown/issues
SystemRequirements: Quarto command line tool (<https://github.com/quarto-dev/quarto-cli>).
Encoding: UTF-8
Imports: cli, desc, downlit, fansi, fs, quarto, tools, utils, xml2, yaml
Suggests: httr2, pkgload, servr, testthat (>= 3.0.0), withr
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-10-22 06:07:40 UTC; bjarke
Author: Bjarke Hautop Kristensen [aut, cre, cph], Hadley Wickham [ctb] , Jay Hesselberth [ctb] , Maelle Salmon [ctb] , Olivier Roy [ctb] , Salim Brueggemann [ctb] , Posit Software, PBC [cph]
Maintainer: Bjarke Hautop Kristensen <bjarke.hautop@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-04 10:00:08 UTC

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New package ModalNet with initial version 0.3.0
Package: ModalNet
Title: Regularized Parametric Modal Regression: Lasso, Elastic Net and Ridge
Version: 0.3.0
Description: Variable selection and estimation for parametric modal regression with continuous positive responses (Gamma, Weibull and Lognormal families) under Lasso, elastic-net, ridge and adaptive-Lasso penalties. The conditional mode is linked to a linear predictor through a logarithmic link using the mode reparameterization of Galarza and Lachos (2026) <doi:10.48550/arXiv.2603.07099>. The penalized log-likelihood is maximized with a proximal Newton algorithm (iteratively reweighted penalized least squares): at each iteration the modal log-likelihood is replaced by a local quadratic surrogate in the linear predictor, which yields a pseudo-response and a working weight in closed form, and the resulting weighted penalized least-squares subproblem is solved by the coordinate-descent solver of 'glmnet' (Friedman, Hastie and Tibshirani, 2010, <doi:10.18637/jss.v033.i01>). The regularization parameter is chosen along a warm-started path by the extended Bayesian information criterion of Che [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: glmnet, stats, graphics
Suggests: survival
LazyData: true
URL: https://github.com/chedgala/ModalNet
BugReports: https://github.com/chedgala/ModalNet/issues
NeedsCompilation: no
Packaged: 2026-10-22 04:36:04 UTC; chedgala
Author: Christian E. Galarza [aut, cre, cph] , Victor H. Lachos [aut] , Dashun Liu [aut]
Maintainer: Christian E. Galarza <chedgala@espol.edu.ec>
Repository: CRAN
Date/Publication: 2026-11-04 09:40:02 UTC

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New package glmheaders with initial version 1.0.1-2
Package: glmheaders
Title: 'OpenGL Mathematics' 'C++' Headers
Version: 1.0.1-2
Description: Provides the header-only 'OpenGL Mathematics' (GLM) 'C++' library for numerical computations in graphics and geometry <https://github.com/g-truc/glm>. Includes vector and matrix types, coordinate transformations, quaternions, and geometric functions following the conventions of the 'OpenGL Shading Language'.
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
URL: https://github.com/tylermorganwall/glmheaders
Suggests: Rcpp
Encoding: UTF-8
NeedsCompilation: no
BugReports: https://github.com/tylermorganwall/glmheaders/issues
Packaged: 2026-10-22 02:56:00 UTC; tyler
Author: Tyler Morgan-Wall [aut, cre] , G-Truc Creation [aut, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-04 09:10:02 UTC

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New package FARM.eval with initial version 1.0.0
Package: FARM.eval
Title: FARM Algorithm Evaluation
Version: 1.0.0
Description: Providing data sets and functions used for evaluating the FARM (Forward Alignment Relevance Measure) algorithm. Datasets include energy consumption series from a university research cube in combination with two and four exogenous series consisting 768 and 62840 samples, respectively. To run particular functions from terminal: Rscript $(R -e 'cat(system.file("scripts","FARM.eval.R",package = "FARM.eval"))') --fexecute get.global.rel.meas --parworkers 1 --parobjsize 500.
License: GPL-3
Encoding: UTF-8
Imports: FARM, dplyr, purrr, lubridate, readr, stats, magrittr, dtw, DTWBI, reticulate, graphics, shape, utils, future.apply, nanoparquet, plotrix, tsmp, optparse, tidyr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-10-21 20:00:22 UTC; prypjat
Author: Ramon Christen [aut, cre]
Maintainer: Ramon Christen <hiroshima@bluewin.ch>
Repository: CRAN
Date/Publication: 2026-11-04 09:30:02 UTC

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Package biblionetwork updated to version 0.2.0 with previous version 0.1.0 dated 2021-04-09

Title: Create Different Types of Bibliometric Networks
Description: Functions to find edges for bibliometric networks like bibliographic coupling network, co-citation network and co-authorship network. The weights of network edges can be calculated according to different methods, depending on the type of networks, the type of nodes, and what you want to analyse. These functions are optimized to be be used on large dataset. The package contains functions inspired by: Leydesdorff, Loet and Park, Han Woo (2017) <doi:10.1016/j.joi.2016.11.007>; Perianes-Rodriguez, Antonio, Ludo Waltman, and Nees Jan Van Eck (2016) <doi:10.1016/j.joi.2016.10.006>; Sen, Subir K. and Shymal K. Gan (1983) "A mathematical extension of the idea of bibliographic coupling and its applications", Annals of Library Science and Documentation 30(2); Shen, Si, Zhu, Danhao, Rousseau, Ronald, Su, Xinning and Wang, Dongbo (2019) <doi:10.1016/j.joi.2019.01.012>; Zhao, Dangzhi and Strotmann, Andreas (2008) <doi:10.1002/meet.2008.1450450292>.
Author: Aurelien Goutsmedt [cre, aut] , Francois Claveau [aut] , Alexandre Truc [aut]
Maintainer: Aurelien Goutsmedt <agoutsmedt@hotmail.fr>

Diff between biblionetwork versions 0.1.0 dated 2021-04-09 and 0.2.0 dated 2026-11-04

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Package ds4psy updated to version 1.4.0 with previous version 1.3.0 dated 2026-04-22

Title: Data Science for Psychologists
Description: All datasets and functions required for the examples and exercises of the book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz University, 2026, <doi:10.5281/zenodo.7229812>), freely available at <https://hneth-ds4psy.share.connect.posit.cloud/>. The book and corresponding courses introduce principles and methods of data science to students of psychology and other biological or social sciences. The 'ds4psy' package primarily provides datasets, but also functions for data generation and manipulation (e.g., of text and time data) and graphics that are used in the book and its exercises. All functions included in 'ds4psy' are designed to be explicit and instructive, rather than efficient or elegant.
Author: Hansjoerg Neth [aut, cre]
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

Diff between ds4psy versions 1.3.0 dated 2026-04-22 and 1.4.0 dated 2026-11-04

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More information about ds4psy at CRAN
Permanent link

Package csmGmm updated to version 0.6.0 with previous version 0.5.0 dated 2026-06-16

Title: Conditionally Symmetric Multidimensional Gaussian Mixture Model
Description: Implements the conditionally symmetric multidimensional Gaussian mixture model (csmGmm) for large-scale testing of composite null hypotheses in genetic association applications such as mediation analysis, pleiotropy analysis, and replication analysis. In such analyses, we typically have J sets of K test statistics where K is a small number (e.g. 2 or 3) and J is large (e.g. 1 million). For each one of the J sets, we want to know if we can reject all K individual nulls. Please see the vignette for a quickstart guide. The paper describing these methods is "Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies" by Sun R, McCaw Z, & Lin X (Journal of the American Statistical Association 2025, <doi:10.1080/01621459.2024.2422124>).
Author: Ryan Sun [aut, cre], Emily Kim [aut]
Maintainer: Ryan Sun <ryansun.work@gmail.com>

Diff between csmGmm versions 0.5.0 dated 2026-06-16 and 0.6.0 dated 2026-11-04

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More information about csmGmm at CRAN
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Package shide updated to version 0.4.0 with previous version 0.3.0 dated 2025-08-23

Title: Date/Time Classes Based on Jalali Calendar
Description: Implements S3 classes for storing dates and date-times based on the Jalali calendar. The main design goal of 'shide' is consistency with base R's 'Date' and 'POSIXct'. It provide features such as: date-time parsing, formatting and arithmetic.
Author: Mohsen Mollayi [aut, cre, cph]
Maintainer: Mohsen Mollayi <mmollayi@gmail.com>

Diff between shide versions 0.3.0 dated 2025-08-23 and 0.4.0 dated 2026-11-04

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More information about shide at CRAN
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Package future.batchtools updated to version 0.31.0 with previous version 0.30.0 dated 2026-10-18

Title: A Future API for Parallel and Distributed Processing using 'batchtools'
Description: Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the 'batchtools' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS', e.g. 'y <- lapply(files, FUN = process) |> futurize::futurize()'.
Author: Henrik Bengtsson [aut, cre, cph] , Michel Lang [ctb, cph] , Bernd Bischl [ctb, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future.batchtools versions 0.30.0 dated 2026-10-18 and 0.31.0 dated 2026-11-04

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More information about future.batchtools at CRAN
Permanent link


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