Thu, 06 Mar 2025

Package tern.rbmi updated to version 0.1.5 with previous version 0.1.4 dated 2024-11-26

Title: Create Interface for 'RBMI' and 'tern'
Description: 'RBMI' implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). This package provides an interface for 'RBMI' uses the 'tern' <https://cran.r-project.org/package=tern> framework by Zhu et al. (2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> by Becker et al. (2023).
Author: Joe Zhu [aut, cre] , Jana Stoilova [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between tern.rbmi versions 0.1.4 dated 2024-11-26 and 0.1.5 dated 2025-03-06

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More information about tern.rbmi at CRAN
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Package comparator updated to version 0.1.3 with previous version 0.1.2 dated 2022-03-16

Title: Comparison Functions for Clustering and Record Linkage
Description: Implements functions for comparing strings, sequences and numeric vectors for clustering and record linkage applications. Supported comparison functions include: generalized edit distances for comparing sequences/strings, Monge-Elkan similarity for fuzzy comparison of token sets, and L-p distances for comparing numeric vectors. Where possible, comparison functions are implemented in C/C++ to ensure good performance.
Author: Neil Marchant [aut, cre]
Maintainer: Neil Marchant <ngmarchant@gmail.com>

Diff between comparator versions 0.1.2 dated 2022-03-16 and 0.1.3 dated 2025-03-06

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More information about comparator at CRAN
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Package EMC2 updated to version 3.0.0 with previous version 2.1.0 dated 2024-10-14

Title: Bayesian Hierarchical Analysis of Cognitive Models of Choice
Description: Fit Bayesian (hierarchical) cognitive models using a linear modeling language interface using particle Metropolis Markov chain Monte Carlo sampling with Gibbs steps. The diffusion decision model (DDM), linear ballistic accumulator model (LBA), racing diffusion model (RDM), and the lognormal race model (LNR) are supported. Additionally, users can specify their own likelihood function and/or choose for non-hierarchical estimation, as well as for a diagonal, blocked or full multivariate normal group-level distribution to test individual differences. Prior specification is facilitated through methods that visualize the (implied) prior. A wide range of plotting functions assist in assessing model convergence and posterior inference. Models can be easily evaluated using functions that plot posterior predictions or using relative model comparison metrics such as information criteria or Bayes factors. References: Stevenson et al. (2024) <doi:10.31234/osf.io/2e4dq>.
Author: Niek Stevenson [aut, cre] , Michelle Donzallaz [aut], Andrew Heathcote [aut], Steven Miletic [ctb], Raphael Hartmann [ctb], Karl C. Klauer [ctb], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [ctb], Gerard Jungman [ctb], Rudolf Schuerer [...truncated...]
Maintainer: Niek Stevenson <niek.stevenson@gmail.com>

Diff between EMC2 versions 2.1.0 dated 2024-10-14 and 3.0.0 dated 2025-03-06

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More information about EMC2 at CRAN
Permanent link

Package rgeoda updated to version 0.1.0 with previous version 0.0.11-1 dated 2024-12-19

Title: R Library for Spatial Data Analysis
Description: Provides spatial data analysis functionalities including Exploratory Spatial Data Analysis, Spatial Cluster Detection and Clustering Analysis, Regionalization, etc. based on the C++ source code of 'GeoDa', which is an open-source software tool that serves as an introduction to spatial data analysis. The 'GeoDa' software and its documentation are available at <https://geodacenter.github.io>.
Author: Xun Li [aut, cre], Luc Anselin [aut]
Maintainer: Xun Li <lixun910@gmail.com>

Diff between rgeoda versions 0.0.11-1 dated 2024-12-19 and 0.1.0 dated 2025-03-06

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More information about rgeoda at CRAN
Permanent link

Package restez updated to version 2.1.5 with previous version 2.1.4 dated 2023-10-25

Title: Create and Query a Local Copy of 'GenBank' in R
Description: Download large sections of 'GenBank' <https://www.ncbi.nlm.nih.gov/genbank/> and generate a local SQL-based database. A user can then query this database using 'restez' functions or through 'rentrez' <https://CRAN.R-project.org/package=rentrez> wrappers.
Author: Joel H. Nitta [aut, cre] , Dom Bennett [aut]
Maintainer: Joel H. Nitta <joelnitta@gmail.com>

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More information about restez at CRAN
Permanent link

Package riskmetric updated to version 0.2.5 with previous version 0.2.4 dated 2024-01-09

Title: Risk Metrics to Evaluating R Packages
Description: Facilities for assessing R packages against a number of metrics to help quantify their robustness.
Author: R Validation Hub [aut], Doug Kelkhoff [aut], Marly Gotti [aut], Eli Miller [cre, aut], Kevin K [aut], Yilong Zhang [aut], Eric Milliman [aut], Juliane Manitz [aut], Mark Padgham [ctb], PSI special interest group Application and Implementation of Meth [...truncated...]
Maintainer: Eli Miller <eli.miller@atorusresearch.com>

Diff between riskmetric versions 0.2.4 dated 2024-01-09 and 0.2.5 dated 2025-03-06

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Package rhub updated to version 2.0.1 with previous version 2.0.0 dated 2024-04-11

Title: Tools for R Package Developers
Description: R-hub v2 uses GitHub Actions to run 'R CMD check' and similar package checks. The 'rhub' package helps you set up R-hub v2 for your R package, and start running checks.
Author: Gabor Csardi [aut, cre], Maelle Salmon [aut] , R Consortium [fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between rhub versions 2.0.0 dated 2024-04-11 and 2.0.1 dated 2025-03-06

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Package ndjson updated to version 0.9.1 with previous version 0.9.0 dated 2022-10-17

Title: Wicked-Fast Streaming 'JSON' ('ndjson') Reader
Description: Streaming 'JSON' ('ndjson') has one 'JSON' record per-line and many modern 'ndjson' files contain large numbers of records. These constructs may not be columnar in nature, but it is often useful to read in these files and "flatten" the structure out to enable working with the data in an R 'data.frame'-like context. Functions are provided that make it possible to read in plain 'ndjson' files or compressed ('gz') 'ndjson' files and either validate the format of the records or create "flat" 'data.table' structures from them.
Author: Bob Rudis [aut, cre] , Niels Lohmann [aut] , Deepak Bandyopadhyay [aut] , Lutz Kettner [aut] , Neal Fultz [ctb] , Maarten Demeyer [ctb]
Maintainer: Bob Rudis <bob@rud.is>

Diff between ndjson versions 0.9.0 dated 2022-10-17 and 0.9.1 dated 2025-03-06

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Package MECfda updated to version 0.2.0 with previous version 0.1.0 dated 2024-10-21

Title: Scalar-on-Function Regression with Measurement Error Correction
Description: Solve scalar-on-function linear models, including generalized linear mixed effect model and quantile linear regression model, and bias correction estimation methods due to measurement error. Details about the measurement error bias correction methods, see Luan et al. (2023) <doi:10.48550/arXiv.2305.12624>, Tekwe et al. (2022) <doi:10.1093/biostatistics/kxac017>, Zhang et al. (2023) <doi:10.5705/ss.202021.0246>, Tekwe et al. (2019) <doi:10.1002/sim.8179>.
Author: Heyang Ji [aut, cre, ctb, dtc] , Ufuk Beyaztas [aut, ctb, rev] , Nicolas Escobar-Velasquez [com] , Yuanyuan Luan [aut, ctb], Xiwei Chen [aut, ctb], Mengli Zhang [aut, ctb], Roger Zoh [aut, ths], Lan Xue [aut, ths], Carmen Tekwe [aut, ths]
Maintainer: Heyang Ji <jihx1015@outlook.com>

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Package opencv updated to version 0.5.0 with previous version 0.4.1 dated 2024-10-04

Title: Bindings to 'OpenCV' Computer Vision Library
Description: Exposes some of the available 'OpenCV' <https://opencv.org/> algorithms, such as a QR code scanner, and edge, body or face detection. These can either be applied to analyze static images, or to filter live video footage from a camera device.
Author: Jeroen Ooms [aut, cre] , Jan Wijffels [aut]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between opencv versions 0.4.1 dated 2024-10-04 and 0.5.0 dated 2025-03-06

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Package wallace updated to version 2.2.0 with previous version 2.1.3 dated 2024-07-18

Title: A Modular Platform for Reproducible Modeling of Species Niches and Distributions
Description: The 'shiny' application Wallace is a modular platform for reproducible modeling of species niches and distributions. Wallace guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface. An extensive vignette, which guides users through most package functionality can be found on the package's GitHub Pages website: <https://wallaceecomod.github.io/wallace/articles/tutorial-v2.html>.
Author: Bethany A. Johnson [aut], Daniel F. Lopez-Lozano [aut], Jamie M. Kass [aut], Gonzalo E. Pinilla-Buitrago [aut], Andrea Paz [aut], Valentina Grisales-Betancur [aut], Dean Attali [aut], Matthew E. Aiello-Lammens [aut], Cory Merow [aut], Mary E. Blair [ [...truncated...]
Maintainer: Mary E. Blair <mblair1@amnh.org>

Diff between wallace versions 2.1.3 dated 2024-07-18 and 2.2.0 dated 2025-03-06

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Package usmapdata updated to version 0.4.0 with previous version 0.3.0 dated 2024-05-17

Title: Mapping Data for 'usmap' Package
Description: Provides a container for data used by the 'usmap' package. The data used by 'usmap' has been extracted into this package so that the file size of the 'usmap' package can be reduced greatly. The data in this package will be updated roughly once per year as new map data files are provided by the US Census Bureau.
Author: Paolo Di Lorenzo [aut, cre]
Maintainer: Paolo Di Lorenzo <paolo@dilorenzo.org>

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Package maths.genealogy updated to version 0.1.2 with previous version 0.1.1 dated 2025-03-03

Title: Mathematics PhD Genealogy Data and Plotting
Description: Query, extract, and plot genealogical data from The Mathematics Genealogy Project <https://mathgenealogy.org/>. Data is gathered from the 'WebSocket' server run by the 'geneagrapher-core' project <https://github.com/davidalber/geneagrapher-core>.
Author: Louis Aslett [aut, cre]
Maintainer: Louis Aslett <louis.aslett@durham.ac.uk>

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Package dfr updated to version 0.1.5 with previous version 0.1.4 dated 2025-02-06

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

Diff between dfr versions 0.1.4 dated 2025-02-06 and 0.1.5 dated 2025-03-06

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Package cbq updated to version 0.2.0.4 with previous version 0.2.0.3 dated 2023-04-02

Title: Conditional Binary Quantile Models
Description: Estimates conditional binary quantile models developed by Lu (2020) <doi:10.1017/pan.2019.29>. The estimation procedure is implemented based on Markov chain Monte Carlo methods.
Author: Xiao Lu [aut, cre]
Maintainer: Xiao Lu <xiao.lu.research@gmail.com>

Diff between cbq versions 0.2.0.3 dated 2023-04-02 and 0.2.0.4 dated 2025-03-06

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Package zoltr updated to version 1.0.2 with previous version 1.0.1 dated 2024-06-27

Title: Interface to the 'Zoltar' Forecast Repository API
Description: 'Zoltar' <https://www.zoltardata.com/> is a website that provides a repository of model forecast results in a standardized format and a central location. It supports storing, retrieving, comparing, and analyzing time series forecasts for prediction challenges of interest to the modeling community. This package provides functions for working with the 'Zoltar' API, including connecting and authenticating, getting meta information (projects, models, and forecasts, and truth), and uploading, downloading, and deleting forecast and truth data.
Author: Matthew Cornell [aut, cre], Nicholas Reich [aut, cph]
Maintainer: Matthew Cornell <cornell@umass.edu>

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New package uisapi with initial version 0.1.0
Package: uisapi
Title: Access the UNESCO Institute for Statistics API
Version: 0.1.0
Description: Retrieve data from the UNESCO Institute for Statistics (UIS) API <https://api.uis.unesco.org/api/public/documentation/>. UIS provides public access to more than 4,000 indicators focusing on education, science and technology, culture, and communication.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: cli (>= 3.0.0), httr2 (>= 1.0.0), jsonlite (>= 1.0.0), tibble, dplyr (>= 1.0.0), tidyr (>= 1.0.0), rlang (>= 1.0.0)
Suggests: curl, testthat (>= 3.0.0)
URL: https://github.com/tidy-intelligence/r-uisapi, https://tidy-intelligence.github.io/r-uisapi/
BugReports: https://github.com/tidy-intelligence/r-uisapi/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-04 18:47:42 UTC; krise
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>
Repository: CRAN
Date/Publication: 2025-03-06 16:50:01 UTC

More information about uisapi at CRAN
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Package synthpop updated to version 1.9-1 with previous version 1.9-0 dated 2024-12-20

Title: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control
Description: A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the data set. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models. Data are synthesised via the function syn() which can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used to influence the disclosure risk and the analytical quality of the synthesised data. For a description of the implemented method see Nowok, Raab and Dibben (2016) <doi:10.18637/jss.v074.i11>. Functio [...truncated...]
Author: Beata Nowok [aut, cre], Gillian M Raab [aut], Chris Dibben [ctb], Joshua Snoke [ctb], Caspar van Lissa [ctb], Lotte Pater [ctb]
Maintainer: Beata Nowok <beata.nowok@gmail.com>

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More information about synthpop at CRAN
Permanent link

Package rollupTree updated to version 0.3.0 with previous version 0.2.0 dated 2025-02-04

Title: Perform Recursive Computations
Description: Mass rollup for a Bill of Materials is an example of a class of computations in which elements are arranged in a tree structure and some property of each element is a computed function of the corresponding values of its child elements. Leaf elements, i.e., those with no children, have values assigned. In many cases, the combining function is simple arithmetic sum; in other cases (e.g., mass properties), the combiner may involve other information such as the geometric relationship between parent and child, or statistical relations such as root-sum-of-squares (RSS). This package implements a general function for such problems. It is adapted to specific recursive computations by functional programming techniques; the caller passes a function as the update parameter to rollup() (or, at a lower level, passes functions as the get, set, combine, and override parameters to update_prop()) at runtime to specify the desired operations. The implementation relies on graph-theoretic algorithms from [...truncated...]
Author: James Steven Jenkins [aut, cre, cph]
Maintainer: James Steven Jenkins <sjenkins@studioj.us>

Diff between rollupTree versions 0.2.0 dated 2025-02-04 and 0.3.0 dated 2025-03-06

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New package ROKET with initial version 1.0.0
Package: ROKET
Title: Optimal Transport-Based Kernel Regression
Version: 1.0.0
Date: 2025-03-04
Description: Perform optimal transport on somatic point mutations and kernel regression hypothesis testing by integrating pathway level similarities at the gene level (Little et al. (2023) <doi:10.1111/biom.13769>). The software implements balanced and unbalanced optimal transport and omnibus tests with 'C++' across a set of tumor samples and allows for multi-threading to decrease computational runtime.
Encoding: UTF-8
Imports: Rcpp, smarter, ggplot2, survival, MiRKAT
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
Suggests: rmarkdown, knitr, reshape2, ggdendro
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-04 22:23:50 UTC; Admin
Author: Paul Little [aut, cre]
Maintainer: Paul Little <pllittle321@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-06 17:00:02 UTC

More information about ROKET at CRAN
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Package frailtypack updated to version 3.7.0 with previous version 3.6.5 dated 2024-12-14

Title: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Neste [...truncated...]
Author: Virginie Rondeau [aut, cre] , Juan R. Gonzalez [aut], Yassin Mazroui [aut], Audrey Mauguen [aut], Amadou Diakite [aut], Alexandre Laurent [aut], Myriam Lopez [aut], Agnieszka Krol [aut], Casimir L. Sofeu [aut], Julien Dumerc [aut], Denis Rustand [aut [...truncated...]
Maintainer: Virginie Rondeau <virginie.rondeau@u-bordeaux.fr>

Diff between frailtypack versions 3.6.5 dated 2024-12-14 and 3.7.0 dated 2025-03-06

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Package finnsurveytext updated to version 2.1.1 with previous version 2.1.0 dated 2024-11-08

Title: Analyse Open-Ended Survey Responses in Finnish
Description: Annotates Finnish textual survey responses into CoNLL-U format using Finnish treebanks from <https://universaldependencies.org/format.html> using UDPipe as described in Straka and StrakovĂ¡ (2017) <doi:10.18653/v1/K17-3009>. Formatted data is then analysed using single or comparison n-gram plots, wordclouds, summary tables and Concept Network plots. The Concept Network plots use the TextRank algorithm as outlined in Mihalcea, Rada & Tarau, Paul (2004) <https://aclanthology.org/W04-3252/>.
Author: Adeline Clarke [cre, aut], Krista Lagus [aut], Katja Laine [aut], Maria Litova [aut], Matti Nelimarkka [aut], Joni Oksanen [aut], Jaakko Peltonen [aut], Tuukka Oikarinen [aut], Jani-Matti Tirkkonen [aut], Ida Toivanen [aut], Maria Valaste [aut], Shan [...truncated...]
Maintainer: Adeline Clarke <adelinepclarke@gmail.com>

Diff between finnsurveytext versions 2.1.0 dated 2024-11-08 and 2.1.1 dated 2025-03-06

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New package CSeQTL with initial version 1.0.0
Package: CSeQTL
Title: Cell Type-Specific Expression Quantitative Trail Loci Mapping
Version: 1.0.0
Date: 2025-03-04
Description: Perform bulk and cell type-specific expression quantitative trail loci mapping with our novel method (Little et al. (2023) <doi:10.1038/s41467-023-38795-w>).
Encoding: UTF-8
Imports: Rcpp, smarter, ggplot2, multcomp, emdbook, MatrixEQTL, data.table, HelpersMG, R.utils, GenomicFeatures, methods
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-04 22:11:04 UTC; Admin
Author: Paul Little [aut, cre]
Maintainer: Paul Little <pllittle321@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-03-06 17:00:06 UTC

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New package actfts with initial version 0.3.0
Package: actfts
Title: Autocorrelation Tools Featured for Time Series
Version: 0.3.0
Maintainer: Sergio Sierra <sergiochess95@gmail.com>
Description: The 'actfts' package provides tools for performing autocorrelation analysis of time series data. It includes functions to compute and visualize the autocorrelation function (ACF) and the partial autocorrelation function (PACF). Additionally, it performs the Dickey-Fuller, KPSS, and Phillips-Perron unit root tests to assess the stationarity of time series. Theoretical foundations are based on Box and Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>, Box and Jenkins (1976) <isbn:978-0-8162-1234-2>, and Box and Pierce (1970) <doi:10.1080/01621459.1970.10481180>. Statistical methods are also drawn from Kolmogorov (1933) <doi:10.1007/BF00993594>, Kwiatkowski et al. (1992) <doi:10.1016/0304-4076(92)90104-Y>, and Ljung and Box (1978) <doi:10.1093/biomet/65.2.297>. The package integrates functions from 'forecast' (Hyndman & Khandakar, 2008) <https://CRAN.R-project.org/package=forecast>, 'tseries' (Trapletti & Hornik, 2020) <https://CRAN.R [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: openxlsx, plotly, reactable, tseries, xts, stats, forecast, lifecycle
Depends: R (>= 2.10)
URL: https://github.com/SergioFinances/actfts, https://sergiofinances.github.io/actfts/
BugReports: https://github.com/SergioFinances/actfts/issues
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-04 18:19:35 UTC; sergiosierra
Author: David Rodriguez [aut, cph] , Sergio Sierra [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-06 16:40:07 UTC

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Package SpecHelpers updated to version 0.3.1 with previous version 0.2.7 dated 2017-07-26

Title: Spectroscopy Related Utilities
Description: Utility functions for spectroscopy. 1. Functions to simulate spectra for use in teaching or testing. 2. Functions to process files created by 'LoggerPro' and 'SpectraSuite' software.
Author: Bryan A. Hanson [aut, cre]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

Diff between SpecHelpers versions 0.2.7 dated 2017-07-26 and 0.3.1 dated 2025-03-06

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Package tkrplot updated to version 0.0-29 with previous version 0.0-27 dated 2022-10-18

Title: TK Rplot
Description: Simple mechanism for placing R graphics in a Tk widget.
Author: Luke Tierney <luke-tierney@uiowa.edu>
Maintainer: Luke Tierney <luke-tierney@uiowa.edu>

Diff between tkrplot versions 0.0-27 dated 2022-10-18 and 0.0-29 dated 2025-03-06

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Package qMRI updated to version 1.2.7.9 with previous version 1.2.7.8 dated 2024-12-09

Title: Methods for Quantitative Magnetic Resonance Imaging ('qMRI')
Description: Implementation of methods for estimation of quantitative maps from Multi-Parameter Mapping (MPM) acquisitions (Weiskopf et al. (2013) <doi:10.3389/fnins.2013.00095>) and analysis of Inversion Recovery MRI data. Usage of the package is described in Polzehl and Tabelow (2023), "Magnetic Resonance Brain Imaging", 2nd Edition, Chapter 6 and 7, Springer, Use R! Series. <doi:10.1007/978-3-031-38949-8>. J. Polzehl and K. Tabelow (2023), "Magnetic Resonance Brain Imaging - Modeling and Data Analysis Using R: Code and Data." <doi:10.20347/WIAS.DATA.6> provides extensive example code and data.
Author: Joerg Polzehl [aut], Karsten Tabelow [aut, cre], WIAS Berlin [cph, fnd]
Maintainer: Karsten Tabelow <karsten.tabelow@wias-berlin.de>

Diff between qMRI versions 1.2.7.8 dated 2024-12-09 and 1.2.7.9 dated 2025-03-06

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Package mpmsim updated to version 3.2.0 with previous version 3.1.0 dated 2024-10-12

Title: Simulation of Matrix Population Models with Defined Life History Characteristics
Description: Allows users to simulate matrix population models with particular characteristics based on aspects of life history such as mortality trajectories and fertility trajectories. Also allows the exploration of sampling error due to small sample size.
Author: Owen Jones [aut, cre]
Maintainer: Owen Jones <jones@biology.sdu.dk>

Diff between mpmsim versions 3.1.0 dated 2024-10-12 and 3.2.0 dated 2025-03-06

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New package misha with initial version 4.3.6
Package: misha
Title: Toolkit for Analysis of Genomic Data
Version: 4.3.6
Description: A toolkit for analysis of genomic data. The 'misha' package implements an efficient data structure for storing genomic data, and provides a set of functions for data extraction, manipulation and analysis. Some of the 2D genome algorithms were described in Yaffe and Tanay (2011) <doi:10.1038/ng.947>.
License: MIT + file LICENSE
URL: https://tanaylab.github.io/misha/, https://github.com/tanaylab/misha
BugReports: https://github.com/tanaylab/misha/issues
Depends: R (>= 3.0.0)
Imports: magrittr, curl, utils
Suggests: dplyr, glue, knitr, readr, rmarkdown, spelling, stats, stringr, testthat (>= 3.0.0), tibble, withr
Encoding: UTF-8
Language: en-US
LazyLoad: yes
NeedsCompilation: yes
SystemRequirements: C++14
OS_type: unix
VignetteBuilder: knitr
Packaged: 2025-02-28 12:13:50 UTC; aviezerl
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Eitan Yaffe [aut], Amos Tanay [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>
Repository: CRAN
Date/Publication: 2025-03-06 14:10:02 UTC

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Package hutilscpp updated to version 0.10.8 with previous version 0.10.7 dated 2025-01-08

Title: Miscellaneous Functions in C++
Description: Provides utility functions that are simply, frequently used, but may require higher performance that what can be obtained from base R. Incidentally provides support for 'reverse geocoding', such as matching a point with its nearest neighbour in another array. Used as a complement to package 'hutils' by sacrificing compilation or installation time for higher running speeds. The name is a portmanteau of the author and 'Rcpp'.
Author: Hugh Parsonage [aut, cre], Simon Urbanek [ctb]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between hutilscpp versions 0.10.7 dated 2025-01-08 and 0.10.8 dated 2025-03-06

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Package ColOpenData updated to version 1.0.0 with previous version 0.3.1 dated 2024-10-30

Title: Download Colombian Demographic, Climate and Geospatial Data
Description: Downloads wrangled Colombian socioeconomic, geospatial,population and climate data from DANE <https://www.dane.gov.co/> (National Administrative Department of Statistics) and IDEAM (Institute of Hydrology, Meteorology and Environmental Studies). It solves the problem of Colombian data being issued in different web pages and sources by using functions that allow the user to select the desired database and download it without having to do the exhausting acquisition process.
Author: Maria Camila Tavera-Cifuentes [aut, cre, cph] , Julian Otero [aut, cph] , Natalia Nino-Machado [ctb] , Catalina Gonzalez-Uribe [ctb] , Juan Manuel Cordovez [ctb] , Hugo Gruson [rev] , Chris Hartgerink [rev] , Karim Mane [rev] , Joshua W. Lambert [rev [...truncated...]
Maintainer: Maria Camila Tavera-Cifuentes <mc.tavera@uniandes.edu.co>

Diff between ColOpenData versions 0.3.1 dated 2024-10-30 and 1.0.0 dated 2025-03-06

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Package AICcmodavg updated to version 2.3-4 with previous version 2.3-3 dated 2023-11-16

Title: Model Selection and Multimodel Inference Based on (Q)AIC(c)
Description: Functions to implement model selection and multimodel inference based on Akaike's information criterion (AIC) and the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc) from various model object classes. The package implements classic model averaging for a given parameter of interest or predicted values, as well as a shrinkage version of model averaging parameter estimates or effect sizes. The package includes diagnostics and goodness-of-fit statistics for certain model types including those of 'unmarkedFit' classes estimating demographic parameters after accounting for imperfect detection probabilities. Some functions also allow the creation of model selection tables for Bayesian models of the 'bugs', 'rjags', and 'jagsUI' classes. Functions also implement model selection using BIC. Objects following model selection and multimodel inference can be formatted to LaTeX using 'xtable' methods included in the package.
Author: Marc J. Mazerolle [aut, cre]
Maintainer: Marc J. Mazerolle <marc.mazerolle@sbf.ulaval.ca>

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Package RcppDate updated to version 0.0.5 with previous version 0.0.4 dated 2024-10-14

Title: 'date' C++ Header Library for Date and Time Functionality
Description: A header-only C++ library is provided with support for dates, time zones, ISO weeks, Julian dates, and Islamic dates. 'date' offers extensive date and time functionality for the C++11, C++14 and C++17 standards and was written by Howard Hinnant and released under the MIT license. A slightly modified version has been accepted (along with 'tz.h') as part of C++20. This package regroups all header files from the upstream repository by Howard Hinnant so that other R packages can use them in their C++ code. At present, few of the types have explicit 'Rcpp' wrappers though these may be added as needed.
Author: Dirk Eddelbuettel [aut, cre] , Howard Hinnant [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package cctest updated to version 1.2.1 with previous version 1.2.0 dated 2025-01-07

Title: Canonical Correlations and Tests of Independence
Description: A simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, common approximate versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.
Author: Robert Schlicht [aut, cre]
Maintainer: Robert Schlicht <robert.schlicht@tu-dresden.de>

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Package visOmopResults updated to version 1.0.2 with previous version 1.0.1 dated 2025-02-27

Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualisation of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Author: Marti Catala [aut] , Nuria Mercade-Besora [aut, cre] , Yuchen Guo [ctb] , Elin Rowlands [ctb] , Marta Alcalde-Herraiz [ctb] , Edward Burn [ctb]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>

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Package snvecR updated to version 3.10.1 with previous version 3.10.0 dated 2025-03-01

Title: Calculate Earth’s Obliquity and Precession in the Past
Description: Easily calculate precession and obliquity from an orbital solution (defaults to ZB18a from Zeebe and Lourens (2019) <doi:10.1126/science.aax0612>) and assumed or reconstructed values for tidal dissipation (Td) and dynamical ellipticity (Ed). This is a translation and adaptation of the 'C'-code in the supplementary material to Zeebe and Lourens (2022) <doi:10.1029/2021PA004349>, with further details on the methodology described in Zeebe (2022) <doi:10.3847/1538-3881/ac80f8>. The name of the 'C'-routine is 'snvec', which refers to the key units of computation: spin vector s and orbit normal vector n.
Author: Ilja Kocken [aut, cre, trl, cph] , Richard Zeebe [aut]
Maintainer: Ilja Kocken <ikocken@hawaii.edu>

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Package dodgr updated to version 0.4.2 with previous version 0.4.1 dated 2024-07-07

Title: Distances on Directed Graphs
Description: Distances on dual-weighted directed graphs using priority-queue shortest paths (Padgham (2019) <doi:10.32866/6945>). Weighted directed graphs have weights from A to B which may differ from those from B to A. Dual-weighted directed graphs have two sets of such weights. A canonical example is a street network to be used for routing in which routes are calculated by weighting distances according to the type of way and mode of transport, yet lengths of routes must be calculated from direct distances.
Author: Mark Padgham [aut, cre], Andreas Petutschnig [aut], David Cooley [aut], Robin Lovelace [ctb], Andrew Smith [ctb], Malcolm Morgan [ctb], Andrea Gilardi [ctb] , Shane Saunders [cph] , Stanislaw Adaszewski [cph]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package pnd updated to version 0.0.8 with previous version 0.0.7 dated 2025-03-01

Title: Parallel Numerical Derivatives, Gradients, Jacobians, and Hessians of Arbitrary Accuracy Order
Description: Numerical derivatives through finite-difference approximations can be calculated using the 'pnd' package with parallel capabilities and optimal step-size selection to improve accuracy. These functions facilitate efficient computation of derivatives, gradients, Jacobians, and Hessians, allowing for more evaluations to reduce the mathematical and machine errors. Designed for compatibility with the 'numDeriv' package, which has not received updates in several years, it introduces advanced features such as computing derivatives of arbitrary order, improving the accuracy of Hessian approximations by avoiding repeated differencing, and parallelising slow functions on Windows, Mac, and Linux.
Author: Andrei Victorovitch Kostyrka [aut, cre]
Maintainer: Andrei Victorovitch Kostyrka <andrei.kostyrka@gmail.com>

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Package lsirm12pl updated to version 1.3.4 with previous version 1.3.3 dated 2024-08-28

Title: Latent Space Item Response Model
Description: Analysis of dichotomous and continuous response data using latent factor by both 1PL LSIRM and 2PL LSIRM as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>. It includes original 1PL LSIRM and 2PL LSIRM provided for binary response data and its extension for continuous response data. Bayesian model selection with spike-and-slab prior and method for dealing data with missing value under missing at random, missing completely at random are also supported. Various diagnostic plots are available to inspect the latent space and summary of estimated parameters.
Author: Dongyoung Go [aut], Gwanghee Kim [aut, cre], Jina Park [aut], Ickhoon Jin [ctb], Minjeong Jeon [ctb]
Maintainer: Gwanghee Kim <musagh08@yonsei.ac.kr>

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Package LifemapR updated to version 1.1.5 with previous version 1.1.4 dated 2024-07-31

Title: Data Visualisation on 'Lifemap' Tree
Description: Allow to visualise data on the NCBI phylogenetic tree as presented in Lifemap <https://lifemap.cnrs.fr/>. It takes as input a dataframe with at least a "taxid" column containing NCBI format TaxIds and allows to draw multiple layers with different visualisation tools.
Author: Cassandra Bompard [aut], Damien M. de Vienne [aut] , Julien Barnier [aut] , Aurelie Siberchicot [ctb, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package broom.helpers updated to version 1.20.0 with previous version 1.19.0 dated 2025-01-29

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] , Daniel D. Sjoberg [aut]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Permanent link

Package bit updated to version 4.6.0 with previous version 4.5.0.1 dated 2024-12-03

Title: Classes and Methods for Fast Memory-Efficient Boolean Selections
Description: Provided are classes for boolean and skewed boolean vectors, fast boolean methods, fast unique and non-unique integer sorting, fast set operations on sorted and unsorted sets of integers, and foundations for ff (range index, compression, chunked processing).
Author: Michael Chirico [aut, cre], Jens Oehlschlaegel [aut], Brian Ripley [ctb]
Maintainer: Michael Chirico <MichaelChirico4@gmail.com>

Diff between bit versions 4.5.0.1 dated 2024-12-03 and 4.6.0 dated 2025-03-06

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 bit-4.6.0/bit/R/bit.R                           | 3100 +++++++++++-------------
 bit-4.6.0/bit/R/bitsort.R                       |  755 ++---
 bit-4.6.0/bit/R/chunkutil.R                     |  519 +---
 bit-4.6.0/bit/R/clone.R                         |   43 
 bit-4.6.0/bit/R/generics.R                      |  410 +--
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More information about bit at CRAN
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Package TDLM updated to version 1.1.1 with previous version 1.1.0 dated 2025-01-07

Title: Systematic Comparison of Trip Distribution Laws and Models
Description: The main purpose of this package is to propose a rigorous framework to fairly compare trip distribution laws and models as described in Lenormand et al. (2016) <doi:10.1016/j.jtrangeo.2015.12.008>.
Author: Maxime Lenormand [aut, cre]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>

Diff between TDLM versions 1.1.0 dated 2025-01-07 and 1.1.1 dated 2025-03-06

 DESCRIPTION               |    6 -
 MD5                       |   18 ++--
 NEWS.md                   |   11 ++-
 R/extract_opportunities.R |    8 ++
 R/run_law.R               |    9 ++
 R/run_law_model.R         |    9 ++
 R/run_model.R             |    9 ++
 README.md                 |   18 ++--
 build/vignette.rds        |binary
 inst/doc/TDLM.html        |  168 +++++++++++++++++++++++-----------------------
 10 files changed, 149 insertions(+), 107 deletions(-)

More information about TDLM at CRAN
Permanent link

Package clintrialx (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:

2024-09-03 0.1.0

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

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

2022-01-17 1.0.4
2021-11-29 1.0.3
2020-06-13 1.0.2
2016-10-31 1.0.1
2016-03-29 1.0.0

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Package XBRL (with last version 0.99.19.1) was removed from CRAN

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

2022-03-28 0.99.19.1
2021-10-18 0.99.19
2017-03-28 0.99.18
2016-07-01 0.99.17
2015-04-29 0.99.16
2015-02-13 0.99.15
2015-01-08 0.99.14
2014-11-18 0.99.13
2014-08-11 0.99.12
2014-03-01 0.99.11
2013-12-31 0.99.10

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