Sun, 21 Sep 2025

Package tvR updated to version 0.3.3 with previous version 0.3.2 dated 2021-08-22

Title: Total Variation Regularization
Description: Provides tools for denoising noisy signal and images via Total Variation Regularization. Reducing the total variation of the given signal is known to remove spurious detail while preserving essential structural details. For the seminal work on the topic, see Rudin et al (1992) <doi:10.1016/0167-2789(92)90242-F>.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package TDAkit updated to version 0.1.3 with previous version 0.1.2 dated 2021-08-23

Title: Toolkit for Topological Data Analysis
Description: Topological data analysis studies structure and shape of the data using topological features. We provide a variety of algorithms to learn with persistent homology of the data based on functional summaries for clustering, hypothesis testing, visualization, and others. We refer to Wasserman (2018) <doi:10.1146/annurev-statistics-031017-100045> for a statistical perspective on the topic.
Author: Kisung You [aut, cre] , Byeongsu Yu [aut]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package strand updated to version 0.2.2 with previous version 0.2.0 dated 2020-11-19

Title: A Framework for Investment Strategy Simulation
Description: Provides a framework for performing discrete (share-level) simulations of investment strategies. Simulated portfolios optimize exposure to an input signal subject to constraints such as position size and factor exposure. For background see L. Chincarini and D. Kim (2010, ISBN:978-0-07-145939-6) "Quantitative Equity Portfolio Management".
Author: Jeff Enos [cre, aut, cph], David Kane [aut], Ben Czekanski [ctb], Robert Hoover [ctb], Jack Luby [ctb], Nils Wallin [ctb]
Maintainer: Jeff Enos <jeffrey.enos@gmail.com>

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Package SBmedian updated to version 0.1.2 with previous version 0.1.1 dated 2021-08-16

Title: Scalable Bayes with Median of Subset Posteriors
Description: Median-of-means is a generic yet powerful framework for scalable and robust estimation. A framework for Bayesian analysis is called M-posterior, which estimates a median of subset posterior measures. For general exposition to the topic, see the paper by Minsker (2015) <doi:10.3150/14-BEJ645>.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package ReliaGrowR updated to version 0.2 with previous version 0.1.5 dated 2025-07-13

Title: Reliability Growth Analysis
Description: Modeling and plotting functions for Reliability Growth Analysis (RGA). Models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, Non-Homogeneous Poisson Process (NHPP) by Crow (1975) <https://apps.dtic.mil/sti/citations/ADA020296>, Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the 'segmented' package by Muggeo (2024) <https://cran.r-project.org/package=segmented>.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package filling updated to version 0.2.4 with previous version 0.2.3 dated 2021-08-21

Title: Matrix Completion, Imputation, and Inpainting Methods
Description: Filling in the missing entries of a partially observed data is one of fundamental problems in various disciplines of mathematical science. For many cases, data at our interests have canonical form of matrix in that the problem is posed upon a matrix with missing values to fill in the entries under preset assumptions and models. We provide a collection of methods from multiple disciplines under Matrix Completion, Imputation, and Inpainting. See Davenport and Romberg (2016) <doi:10.1109/JSTSP.2016.2539100> for an overview of the topic.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package CovTools updated to version 0.5.6 with previous version 0.5.4 dated 2021-08-13

Title: Statistical Tools for Covariance Analysis
Description: Covariance is of universal prevalence across various disciplines within statistics. We provide a rich collection of geometric and inferential tools for convenient analysis of covariance structures, topics including distance measures, mean covariance estimator, covariance hypothesis test for one-sample and two-sample cases, and covariance estimation. For an introduction to covariance in multivariate statistical analysis, see Schervish (1987) <doi:10.1214/ss/1177013111>.
Author: Kyoungjae Lee [aut], Lizhen Lin [ctb], Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package ADMM updated to version 0.3.4 with previous version 0.3.3 dated 2021-08-08

Title: Algorithms using Alternating Direction Method of Multipliers
Description: Provides algorithms to solve popular optimization problems in statistics such as regression or denoising based on Alternating Direction Method of Multipliers (ADMM). See Boyd et al (2010) <doi:10.1561/2200000016> for complete introduction to the method.
Author: Kisung You [aut, cre] , Xiaozhi Zhu [aut]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package geoarrow updated to version 0.4.0 with previous version 0.3.0 dated 2025-05-26

Title: Extension Types for Spatial Data for Use with 'Arrow'
Description: Provides extension types and conversions to between R-native object types and 'Arrow' columnar types. This includes integration among the 'arrow', 'nanoarrow', 'sf', and 'wk' packages such that spatial metadata is preserved wherever possible. Extension type implementations ensure first-class geometry data type support in the 'arrow' and 'nanoarrow' packages.
Author: Dewey Dunnington [aut, cre] , Anthony North [ctb], Apache Software Foundation [cph], Ulf Adams [cph], Daniel Lemire [cph], Joao Paulo Magalhaes [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package networkR updated to version 0.1.4 with previous version 0.1.2 dated 2019-09-20

Title: Network Analysis and Visualization
Description: Collection of functions for fast manipulation, handling, and analysis of large-scale networks based on family and social data. Functions are utility functions used to manipulate data in three "formats": sparse adjacency matrices, pedigree trio family data, and pedigree family data. When possible, the functions should be able to handle millions of data points quickly for use in combination with data from large public national registers and databases. Kenneth Lange (2003, ISBN:978-8181281135).
Author: Claus Thorn Ekstroem [aut, cre], Bendix Carstensen [ctb]
Maintainer: Claus Thorn Ekstroem <ekstrom@sund.ku.dk>

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Package ecodive updated to version 2.0.0 with previous version 1.0.0 dated 2025-08-22

Title: Parallel and Memory-Efficient Ecological Diversity Metrics
Description: Computes alpha and beta diversity metrics using concurrent 'C' threads. Metrics include 'UniFrac', Faith's phylogenetic diversity, Bray-Curtis dissimilarity, Shannon diversity index, and many others. Also parses newick trees into 'phylo' objects and rarefies feature tables.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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More information about ecodive at CRAN
Permanent link

Package tinycodet updated to version 0.5.8 with previous version 0.5.6 dated 2025-04-05

Title: Functions to Help in your Coding Etiquette
Description: Adds some functions to help in your coding etiquette. 'tinycodet' primarily focuses on 4 aspects. 1) Safer decimal (in)equality testing, standard-evaluated alternatives to with() and aes(), and other functions for safer coding. 2) A new package import system, that attempts to combine the benefits of using a package without attaching it, with the benefits of attaching a package. 3) Extending the string manipulation capabilities of the 'stringi' R package. 4) Reducing repetitive code. Besides linking to 'Rcpp', 'tinycodet' has only one other dependency, namely 'stringi'.
Author: Tony Wilkes [aut, cre, cph]
Maintainer: Tony Wilkes <tony_a_wilkes@outlook.com>

Diff between tinycodet versions 0.5.6 dated 2025-04-05 and 0.5.8 dated 2025-09-21

 tinycodet-0.5.6/tinycodet/R/atomic_typecast.R                         |only
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 tinycodet-0.5.8/tinycodet/DESCRIPTION                                 |    9 -
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 tinycodet-0.5.8/tinycodet/NAMESPACE                                   |    4 
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 tinycodet-0.5.8/tinycodet/R/aaa4_tinycodet_dry.R                      |   12 -
 tinycodet-0.5.8/tinycodet/R/aaa5_tinycodet_misc.R                     |    1 
 tinycodet-0.5.8/tinycodet/R/decimal_truth.R                           |    8 +
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More information about tinycodet at CRAN
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Package dga updated to version 2.0.2 with previous version 2.0.1 dated 2021-05-10

Title: Capture-Recapture Estimation using Bayesian Model Averaging
Description: Performs Bayesian model averaging for capture-recapture. This includes code to stratify records, check the strata for suitable overlap to be used for capture-recapture, and some functions to plot the estimated population size.
Author: James Johndrow [aut], Kristian Lum [aut], Patrick Ball [aut], Olivier Binette [ctb, cre]
Maintainer: Olivier Binette <olivier.binette@gmail.com>

Diff between dga versions 2.0.1 dated 2021-05-10 and 2.0.2 dated 2025-09-21

 DESCRIPTION         |   10 +++++-----
 MD5                 |   10 +++++-----
 NEWS.md             |    4 ++++
 src/Makevars        |    2 +-
 src/Makevars.win    |    2 +-
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 6 files changed, 21 insertions(+), 12 deletions(-)

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Package lavaan updated to version 0.6-20 with previous version 0.6-19 dated 2024-09-26

Title: Latent Variable Analysis
Description: Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.
Author: Yves Rosseel [aut, cre] , Terrence D. Jorgensen [aut] , Luc De Wilde [aut], Daniel Oberski [ctb], Jarrett Byrnes [ctb], Leonard Vanbrabant [ctb], Victoria Savalei [ctb], Ed Merkle [ctb], Michael Hallquist [ctb], Mijke Rhemtulla [ctb], Myrsini Katsika [...truncated...]
Maintainer: Yves Rosseel <Yves.Rosseel@UGent.be>

Diff between lavaan versions 0.6-19 dated 2024-09-26 and 0.6-20 dated 2025-09-21

 DESCRIPTION                           |   14 
 MD5                                   |  229 +++----
 NAMESPACE                             |    6 
 R/00class.R                           |    1 
 R/ctr_estfun.R                        |   91 ++
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 R/zzz_OLDNAMES.R                      |    1 
 README.md                             |   18 
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 117 files changed, 5417 insertions(+), 2206 deletions(-)

More information about lavaan at CRAN
Permanent link

Package BKP (with last version 0.2.1) was removed from CRAN

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

2025-09-17 0.2.1
2025-09-17 0.2.2
2025-09-16 0.2.0
2025-08-19 0.1.1
2025-07-23 0.1.0

Permanent link
New package linkeR with initial version 0.1.2
Package: linkeR
Title: Link Interactive Plots and Tables in 'shiny' Applications
Version: 0.1.2
Description: Build powerful, linked-view dashboards in 'shiny' applications. With a declarative, one-line setup, you can create bidirectional links between interactive components. When a user interacts with one element (e.g., clicking a map marker), all linked components (such as 'DT' tables or other charts) instantly update. Supports 'leaflet' maps, 'DT' tables, and spatial data via 'sf' objects out-of-the-box, with an extensible API for custom components.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny (>= 1.5.0), magrittr (>= 2.0.0), later (>= 1.0.0)
Suggests: leaflet, DT, sf, testthat (>= 3.0.0), knitr, plotly, bslib, rmarkdown
VignetteBuilder: knitr
URL: https://epiforesite.github.io/linkeR/, https://github.com/EpiForeSITE/linkeR/
BugReports: https://github.com/EpiForeSITE/linkeR/issues/
NeedsCompilation: no
Packaged: 2025-09-15 20:22:18 UTC; jake
Author: Jake Wagoner [aut, cre] , Centers for Disease Control and Prevention's Center for Forecasting and Outbreak Analytics [fnd]
Maintainer: Jake Wagoner <jakew@sci.utah.edu>
Repository: CRAN
Date/Publication: 2025-09-21 14:10:02 UTC

More information about linkeR at CRAN
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Package BATSS updated to version 1.1.0 with previous version 1.0.1 dated 2025-08-27

Title: Bayesian Adaptive Trial Simulator Software (BATSS) for Generalised Linear Models
Description: Defines operating characteristics of Bayesian Adaptive Trials considering a generalised linear model response via Monte Carlo simulations of Bayesian GLM fitted via integrated Laplace approximations (INLA).
Author: Dominique-Laurent Couturier [aut, cre] , Liz Ryan [aut] , Rainer Puhr [aut], Thomas Jaki [aut] , Stephane Heritier [aut]
Maintainer: Dominique-Laurent Couturier <dominique.couturier@mrc-bsu.cam.ac.uk>

Diff between BATSS versions 1.0.1 dated 2025-08-27 and 1.1.0 dated 2025-09-21

 DESCRIPTION          |   10 -
 MD5                  |   14 -
 NAMESPACE            |    1 
 R/glm_internal.R     |    2 
 R/plot.batss.R       |  326 ++++++++++++++++++++++++++++++++-----
 R/summary.batss.R    |  442 ++++++++++++++++++++++++---------------------------
 man/plot.batss.Rd    |   22 +-
 man/summary.batss.Rd |    6 
 8 files changed, 529 insertions(+), 294 deletions(-)

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New package rcppmlpackexamples with initial version 0.0.1
Package: rcppmlpackexamples
Title: Example Use of 'mlpack' from C++ via R
Version: 0.0.1
Date: 2025-09-14
Description: A Minimal Example Package which demonstrates 'mlpack' use via C++ Code from R.
URL: https://github.com/eddelbuettel/rcppmlpack-examples
BugReports: https://github.com/eddelbuettel/rcppmlpack-examples/issues
License: GPL (>= 2)
Suggests: tinytest
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.1.0)
LinkingTo: Rcpp, RcppArmadillo (>= 15.0.2-1), RcppEnsmallen, mlpack (>= 4.6.3)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-09-14 23:36:11 UTC; edd
Author: Dirk Eddelbuettel [aut, cre], Authors of mlpack [aut], Constantinos Giachalis [ctb]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2025-09-21 13:30:02 UTC

More information about rcppmlpackexamples at CRAN
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New package PJCcalculator with initial version 0.1.3
Package: PJCcalculator
Title: PROs-Joint Contrast (PJC) Calculator
Version: 0.1.3
Description: Computes the Patient-Reported Outcomes (PROs) Joint Contrast (PJC), a residual-based summary that captures information left over after accounting for the clinical Disease Activity index for Psoriatic Arthritis (cDAPSA). PROs (pain and patient global assessment) and joint counts (swollen and tender) are standardized, then each component is adjusted for standardized cDAPSA using natural spline coefficients that were derived from previously published models. The resulting residuals are standardized and combined using fixed principal component loadings, to yield a continuous PJC score and quartile groupings. This package provides a calculator for applying those published coefficients to new datasets; it does not itself estimate spline models or principal components.
License: MIT + file LICENSE
Depends: R (>= 3.6)
Imports: dplyr, splines, rlang
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-15 16:06:28 UTC; nmeng2
Author: Ning Meng [aut, cre], Ji Soo Kim [aut], Ana-Maria Orbai [aut], Scott L. Zeger [aut]
Maintainer: Ning Meng <nmeng2@jh.edu>
Repository: CRAN
Date/Publication: 2025-09-21 14:00:07 UTC

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New package narfima with initial version 0.1.0
Package: narfima
Title: Neural AutoRegressive Fractionally Integrated Moving Average Model
Version: 0.1.0
Description: Methods and tools for forecasting univariate time series using the NARFIMA (Neural AutoRegressive Fractionally Integrated Moving Average) model. It combines neural networks with fractional differencing to capture both nonlinear patterns and long-term dependencies. The NARFIMA model supports seasonal adjustment, Box-Cox transformations, optional exogenous variables, and the computation of prediction intervals. In addition to the NARFIMA model, this package provides alternative forecasting models including NARIMA (Neural ARIMA), NBSTS (Neural Bayesian Structural Time Series), and NNaive (Neural Naive) for performance comparison across different modeling approaches. The methods are based on algorithms introduced by Chakraborty et al. (2025) <doi:10.48550/arXiv.2509.06697>.
Maintainer: Donia Besher <donia.a.besher@gmail.com>
Imports: forecast, nnet, bsts, stats, utils, withr
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-15 13:28:23 UTC; d2o0n
Author: Tanujit Chakraborty [aut] , Donia Besher [aut, cre, cph] , Madhurima Panja [aut] , Shovon Sengupta [aut]
Repository: CRAN
Date/Publication: 2025-09-21 14:00:02 UTC

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New package modelSelection with initial version 1.0.3
Package: modelSelection
Version: 1.0.3
Date: 2025-09-15
Title: High-Dimensional Model Selection
Maintainer: David Rossell <rosselldavid@gmail.com>
Depends: R (>= 2.14.0), methods
Suggests: parallel, testthat, patrick
Imports: Rcpp (>= 0.12.16), dplyr, glmnet, huge, intervals, Matrix, mclust, mgcv, mvtnorm, ncvreg, pracma, sparseMatrixStats, survival
LinkingTo: Rcpp, RcppArmadillo
Description: Model selection and averaging for regression, generalized linear models, generalized additive models, graphical models and mixtures, focusing on Bayesian model selection and information criteria (Bayesian information criterion etc.). See Rossell (2025) <doi:10.5281/zenodo.17119597> (see the URL field below for its URL) for a hands-on book describing the methods, examples and suggested citations if you use the package.
License: GPL (>= 2)
URL: https://github.com/davidrusi/modelSelection, https://github.com/davidrusi/modelSelection-book
BugReports: https://github.com/davidrusi/modelSelection/issues
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2025-09-15 08:34:06 UTC; u138097
Author: David Rossell [aut, cre], John D. Cook [ctb], Donatello Telesca [aut], P. Roebuck [ctb], Oriol Abril [aut], Miquel Torrens [aut], Peter Mueller [ctb], William Hallahan [ctb]
Repository: CRAN
Date/Publication: 2025-09-21 13:40:02 UTC

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New package glioblastomaEHRsData with initial version 0.1.0
Package: glioblastomaEHRsData
Title: Descriptive Analysis on 3 EHRs Datasets
Version: 0.1.0
Maintainer: Samuele Marelli <samu2003.marelli@gmail.com>
Description: Provides functions to load and analyze three open Electronic Health Records (EHRs) datasets of patients diagnosed with glioblastoma, previously released under the Creative Common Attribution 4.0 International (CC BY 4.0) license. Users can generate basic descriptive statistics, frequency tables and save descriptive summary tables, as well as create and export univariate or bivariate plots. The package is designed to work with the included datasets and to facilitate quick exploratory data analysis and reporting. More information about these three datasets of EHRs of patients with glioblastoma can be found in this article: Gabriel Cerono, Ombretta Melaiu, and Davide Chicco, 'Clinical feature ranking based on ensemble machine learning reveals top survival factors for glioblastoma multiforme', Journal of Healthcare Informatics Research 8, 1-18 (March 2024). <doi:10.1007/s41666-023-00138-1>.
License: GPL-3
Depends: R (>= 3.5)
Imports: DataExplorer, flextable, ggplot2, rmarkdown, summarytools, table1, tinytex
Suggests: ragg, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
SystemRequirements: pandoc (>= 1.12.3) - http://pandoc.org, tcltk (optional)
NeedsCompilation: no
Packaged: 2025-09-15 08:42:36 UTC; samum
Author: Samuele Marelli [aut, cre], Davide Chicco [aut]
Repository: CRAN
Date/Publication: 2025-09-21 13:50:02 UTC

More information about glioblastomaEHRsData at CRAN
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New package ggDNAvis with initial version 0.2.1
Package: ggDNAvis
Title: 'ggplot2'-Based Tools for Visualising DNA Sequences and Modifications
Version: 0.2.1
Description: Uses 'ggplot2' to visualise either (a) a single DNA/RNA sequence split across multiple lines, (b) multiple DNA/RNA sequences, each occupying a whole line, or (c) base modifications such as DNA methylation called by modified bases models in Dorado or Guppy. Functions starting with visualise_<something>() are the main plotting functions, and functions starting with extract_<something>() are key helper functions for reading files and reformatting data. Source code is available at <https://github.com/ejade42/ggDNAvis> and a full non-expert user guide is available at <https://ejade42.github.io/ggDNAvis/>.
Imports: ggplot2, dplyr, tidyr, stringr, raster, rlang, ragg, png, magick
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
Language: en-GB
URL: https://ejade42.github.io/ggDNAvis/, https://github.com/ejade42/ggDNAvis
BugReports: https://github.com/ejade42/ggDNAvis/issues
NeedsCompilation: no
Packaged: 2025-09-15 02:38:11 UTC; evelyn
Author: Evelyn Jade [aut, cre, cph]
Maintainer: Evelyn Jade <evelynjade42@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-21 13:30:07 UTC

More information about ggDNAvis at CRAN
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New package extr with initial version 1.0.0
Package: extr
Title: Extinction Risk Estimation
Version: 1.0.0
Description: Estimates extinction risk from population time series under a drifted Wiener process using the w-z method for accurate confidence intervals.
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-15 04:53:58 UTC; hako
Author: Hiroshi Hakoyama [aut, cre, cph]
Maintainer: Hiroshi Hakoyama <hiroshi.hakoyama@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-21 13:30:13 UTC

More information about extr at CRAN
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New package DAGassist with initial version 0.2.4
Package: DAGassist
Title: Test Robustness with Directed Acyclic Graphs
Version: 0.2.4
Description: Provides robustness checks driven by directed acyclic graphs (DAGs). Given a 'dagitty' DAG object and a model specification, 'DAGassist' classifies variables by causal roles, flags problematic controls, and generates a report comparing the original model with minimal and canonical adjustment sets. Exports publication-grade reports in 'LaTeX', 'Word', 'Excel', or plain text. 'DAGassist' is built on 'dagitty', an 'R' package that uses the 'DAGitty' web tool (<https://dagitty.net/>) for creating and analyzing DAGs. Methods draw on Pearl (2009) <doi:10.1017/CBO9780511803161> and Textor et al. (2016) <doi:10.1093/ije/dyw341>.
License: GPL (>= 2)
URL: https://github.com/grahamgoff/DAGassist, https://grahamgoff.github.io/DAGassist/
BugReports: https://github.com/grahamgoff/DAGassist/issues
Depends: R (>= 3.5)
Imports: broom, cli, crayon, dagitty, magrittr, stats, tools, utils, writexl
Suggests: fixest, ggdag, knitr, modelsummary, rmarkdown, testthat (>= 3.0.0), tidyverse
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-15 16:22:42 UTC; grahamgoff
Author: Graham Goff [aut, cre] , Michael Denly [ctb]
Maintainer: Graham Goff <goffgrahamc@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-21 14:00:12 UTC

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Package flint updated to version 0.1.0 with previous version 0.0.5 dated 2025-05-27

Title: Fast Library for Number Theory
Description: An R interface to 'FLINT' <https://flintlib.org/>, a C library for number theory. 'FLINT' extends GNU 'MPFR' <https://www.mpfr.org/> and GNU 'MP' <https://gmplib.org/> with support for operations on standard rings (the integers, the integers modulo n, finite fields, the rational, p-adic, real, and complex numbers) as well as matrices and polynomials over rings. 'FLINT' implements midpoint-radius interval arithmetic, also known as ball arithmetic, in the real and complex numbers, enabling computation in arbitrary precision with rigorous propagation of rounding errors; see Johansson (2017) <doi:10.1109/TC.2017.2690633>. Finally, 'FLINT' provides ball arithmetic implementations of many special mathematical functions, with high coverage of reference works such as the NIST Digital Library of Mathematical Functions <https://dlmf.nist.gov/>. The R interface defines S4 classes, generic functions, and methods for representation and basic operations as well as p [...truncated...]
Author: Mikael Jagan [aut, cre] , Martin Maechler [ctb]
Maintainer: Mikael Jagan <jaganmn@mcmaster.ca>

Diff between flint versions 0.0.5 dated 2025-05-27 and 0.1.0 dated 2025-09-21

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Package spatstat.random updated to version 3.4-2 with previous version 3.4-1 dated 2025-05-20

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [aut, cph] , Kasper Klitgaard Berthelsen [ctb, cph], David Bryant [ctb, cph], Ya-Mei Chang [ctb, cph], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Sc [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package power4mome updated to version 0.1.1 with previous version 0.1.0 dated 2025-09-04

Title: Power Analysis for Moderation and Mediation
Description: Power analysis and sample size determination for moderation, mediation, and moderated mediation in models fitted by structural equation modelling using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02> or by multiple regression. The package 'manymome' by Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z> is used to specify the indirect paths or conditional indirect paths to be tested.
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut] , Wendie Yang [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package curveDepth updated to version 0.1.0.16 with previous version 0.1.0.9 dated 2019-02-19

Title: Tukey Curve Depth and Distance in the Space of Curves
Description: Data recorded as paths or trajectories may be suitably described by curves, which are independent of their parametrization. For the space of such curves, the package provides functionalities for reading curves, sampling points on curves, calculating distance between curves and for computing Tukey curve depth of a curve w.r.t. to a bundle of curves. For details see Lafaye De Micheaux, Mozharovskyi, and Vimond (2021) <doi:10.48550/arXiv.1901.00180>.
Author: Pavlo Mozharovskyi [aut, cre], Pierre Lafaye De Micheaux [aut], Myriam Vimond [aut]
Maintainer: Pavlo Mozharovskyi <pavlo.mozharovskyi@telecom-paristech.fr>

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Package cardinalR updated to version 0.2.6 with previous version 0.1.10 dated 2025-08-21

Title: Collection of Data Structures
Description: A collection of functions to generate a large variety of structures in high dimensions. These data structures are useful for testing, validating, and improving algorithms used in dimensionality reduction, clustering, machine learning, and visualization.
Author: Jayani P. Gamage [aut, cre] , Dianne Cook [aut] , Paul Harrison [aut] , Michael Lydeamore [aut] , Thiyanga S. Talagala [aut]
Maintainer: Jayani P. Gamage <jayanilakshika76@gmail.com>

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Package mcmcse updated to version 1.5-1 with previous version 1.5-0 dated 2021-09-09

Title: Monte Carlo Standard Errors for MCMC
Description: Provides tools for computing Monte Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings (survey in <doi:10.1201/b10905>, Chapter 7). MCSE computation for expectation and quantile estimators is supported as well as multivariate estimations. The package also provides functions for computing effective sample size and for plotting Monte Carlo estimates versus sample size.
Author: James M. Flegal [aut], John Hughes [aut], Dootika Vats [aut, cre], Ning Dai [aut], Kushagra Gupta [aut], Uttiya Maji [aut]
Maintainer: Dootika Vats <dootika@iitk.ac.in>

Diff between mcmcse versions 1.5-0 dated 2021-09-09 and 1.5-1 dated 2025-09-21

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Package smcure updated to version 2.2 with previous version 2.1 dated 2022-05-10

Title: Fit Semiparametric Mixture Cure Models
Description: An R-package for Estimating Semiparametric PH and AFT Mixture Cure Models.
Author: Chao Cai [aut, cre], Songfeng Wang [aut], Wenbin Lu [aut], Jiajia Zhang [aut]
Maintainer: Chao Cai <caic@mailbox.sc.edu>

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Package pathwayTMB (with last version 0.1.3) was removed from CRAN

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

2022-08-09 0.1.3
2022-05-18 0.1.2

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Package ProgModule (with last version 0.1.0) was removed from CRAN

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

2024-05-16 0.1.0

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