Thu, 11 Sep 2025

Package CopernicusMarine updated to version 0.3.0 with previous version 0.2.6 dated 2025-07-14

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between CopernicusMarine versions 0.2.6 dated 2025-07-14 and 0.3.0 dated 2025-09-11

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Package rts2 updated to version 0.9.1 with previous version 0.8.3 dated 2025-07-08

Title: Real-Time Disease Surveillance
Description: Supports modelling real-time case data to facilitate the real-time surveillance of infectious diseases and other point phenomena. The package provides automated computational grid generation over an area of interest with methods to map covariates between geographies, model fitting including spatially aggregated case counts, and predictions and visualisation. Both Bayesian and maximum likelihood methods are provided. Log-Gaussian Cox Processes are described by Diggle et al. (2013) <doi:10.1214/13-STS441> and we provide both the low-rank approximation for Gaussian processes described by Solin and Särkkä (2020) <doi:10.1007/s11222-019-09886-w> and Riutort-Mayol et al (2023) <doi:10.1007/s11222-022-10167-2> and the nearest neighbour Gaussian process described by Datta et al (2016) <doi:10.1080/01621459.2015.1044091>. 'cmdstanr' can be downloaded at <https://mc-stan.org/cmdstanr/>.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <s.i.watson@bham.ac.uk>

Diff between rts2 versions 0.8.3 dated 2025-07-08 and 0.9.1 dated 2025-09-11

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Package nomesbr updated to version 0.0.9 with previous version 0.0.7 dated 2025-07-17

Title: Limpa e Simplifica Nomes de Pessoas (Name Cleaner and Simplifier)
Description: Limpa e simplifica nomes de pessoas para auxiliar no pareamento de banco de dados na ausência de chaves únicas não ambíguas. Detecta e corrige erros tipográficos mais comuns, simplifica opcionalmente termos sujeitos eventualmente a omissão em cadastros, e simplifica foneticamente suas palavras, aplicando variação própria do algoritmo metaphoneBR. (Cleans and simplifies person names to assist in database matching when unambiguous unique keys are unavailable. Detects and corrects common typos, optionally simplifies terms prone to omission in records, and applies phonetic simplification using a custom variation of the metaphoneBR algorithm.) Mation (2025) <doi:10.6082/uchicago.15104>.
Author: Rodrigo Borges [aut, cre] , Lucas Mation [aut] , Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rodrigo Borges <rodrigoesborges@gmail.com>

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Package misaem updated to version 1.1.0 with previous version 1.0.1 dated 2021-04-12

Title: Linear Regression and Logistic Regression with Missing Covariates
Description: Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and prediction, using EM-type algorithms. Jiang W., Josse J., Lavielle M., TraumaBase Group (2020) <doi:10.1016/j.csda.2019.106907>.
Author: Wei Jiang [aut], Pavlo Mozharovskyi [ctb], Imke Mayer [ctb], Christophe Muller [ctb], Julie Josse [aut, cre]
Maintainer: Julie Josse <julie.josse@inria.fr>

Diff between misaem versions 1.0.1 dated 2021-04-12 and 1.1.0 dated 2025-09-11

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Package jpinfect updated to version 0.1.3 with previous version 0.1.2 dated 2025-06-04

Title: Acquiring and Processing Data from Japan Institute for Health Security
Description: Download and post process the infectious disease case data from Japan Institute for Health Security. Also the package included ready-to-analyse datasets. See the data source website for further details <https://id-info.jihs.go.jp/>.
Author: Tomonori Hoshi [aut, cre], Erina Ishigaki [aut], Satoshi Kaneko [aut]
Maintainer: Tomonori Hoshi <tomonori.hoshi.japan@gmail.com>

Diff between jpinfect versions 0.1.2 dated 2025-06-04 and 0.1.3 dated 2025-09-11

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Package hmmTMB updated to version 1.1.1 with previous version 1.1.0 dated 2025-06-24

Title: Fit Hidden Markov Models using Template Model Builder
Description: Fitting hidden Markov models using automatic differentiation and Laplace approximation, allowing for fast inference and flexible covariate effects (including random effects and smoothing splines) on model parameters. The package is described by Michelot (2025) <doi:10.18637/jss.v114.i05>.
Author: Theo Michelot [aut, cre], Richard Glennie [aut, ctb]
Maintainer: Theo Michelot <theo.michelot@dal.ca>

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Package ggalign updated to version 1.1.0 with previous version 1.0.2 dated 2025-05-14

Title: A 'ggplot2' Extension for Composable Visualization
Description: A 'ggplot2' extension providing an integrative framework for composable visualization, enabling the creation of complex multi-plot layouts such as insets, circular arrangements, and multi-panel compositions. Built on the grammar of graphics, it offers tools to align, stack, and nest plots, simplifying the construction of richly annotated figures for high-dimensional data contexts—such as genomics, transcriptomics, and microbiome studies—by making it easy to link related plots, overlay clustering results, or highlight shared patterns.
Author: Yun Peng [aut, cre] , Shixiang Wang [aut] , Guangchuang Yu [ths]
Maintainer: Yun Peng <yunyunp96@163.com>

Diff between ggalign versions 1.0.2 dated 2025-05-14 and 1.1.0 dated 2025-09-11

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 ggalign-1.0.2/ggalign/R/with_quad.R                                                                             |only
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 ggalign-1.1.0/ggalign/DESCRIPTION                                                                               |   91 
 ggalign-1.1.0/ggalign/MD5                                                                                       |  756 ++++---
 ggalign-1.1.0/ggalign/NAMESPACE                                                                                 |  250 --
 ggalign-1.1.0/ggalign/NEWS.md                                                                                   |   28 
 ggalign-1.1.0/ggalign/R/active.R                                                                                |  114 -
 ggalign-1.1.0/ggalign/R/alignpatch-.R                                                                           |   24 
 ggalign-1.1.0/ggalign/R/alignpatch-align_plots.R                                                                |  977 +++++++---
 ggalign-1.1.0/ggalign/R/alignpatch-alignpatches.R                                                               |  115 -
 ggalign-1.1.0/ggalign/R/alignpatch-area.R                                                                       |   56 
 ggalign-1.1.0/ggalign/R/alignpatch-build.R                                                                      |   39 
 ggalign-1.1.0/ggalign/R/alignpatch-free-align.R                                                                 |   31 
 ggalign-1.1.0/ggalign/R/alignpatch-free-border.R                                                                |    2 
 ggalign-1.1.0/ggalign/R/alignpatch-free-guide.R                                                                 |    2 
 ggalign-1.1.0/ggalign/R/alignpatch-free-lab.R                                                                   |    2 
 ggalign-1.1.0/ggalign/R/alignpatch-free-space.R                                                                 |    2 
 ggalign-1.1.0/ggalign/R/alignpatch-free-vp.R                                                                    |    2 
 ggalign-1.1.0/ggalign/R/alignpatch-ggplot2.R                                                                    |   80 
 ggalign-1.1.0/ggalign/R/alignpatch-guides.R                                                                     |    4 
 ggalign-1.1.0/ggalign/R/alignpatch-inset.R                                                                      |   11 
 ggalign-1.1.0/ggalign/R/alignpatch-patch.R                                                                      |    2 
 ggalign-1.1.0/ggalign/R/alignpatch-patchwork.R                                                                  |   12 
 ggalign-1.1.0/ggalign/R/alignpatch-title.R                                                                      |   14 
 ggalign-1.1.0/ggalign/R/alignpatch-wrap.R                                                                       |    7 
 ggalign-1.1.0/ggalign/R/attributes.R                                                                            |    4 
 ggalign-1.1.0/ggalign/R/craft-align-.R                                                                          |   57 
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 ggalign-1.1.0/ggalign/R/craft-align-kmeans.R                                                                    |    2 
 ggalign-1.1.0/ggalign/R/craft-align-order.R                                                                     |   16 
 ggalign-1.1.0/ggalign/R/craft-align-order2.R                                                                    |   29 
 ggalign-1.1.0/ggalign/R/craft-align-phylo.R                                                                     |  466 +---
 ggalign-1.1.0/ggalign/R/craft-cross-.R                                                                          |  207 +-
 ggalign-1.1.0/ggalign/R/craft-cross-link.R                                                                      |   38 
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 ggalign-1.1.0/ggalign/R/craft-cross-none.R                                                                      |    2 
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 ggalign-1.1.0/ggalign/R/craftsman.R                                                                             |only
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 ggalign-1.1.0/ggalign/R/fortify-data-frame-.R                                                                   |   23 
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 ggalign-1.1.0/ggalign/R/ggalign-package.R                                                                       |    4 
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Package CohortGenerator updated to version 0.12.2 with previous version 0.12.1 dated 2025-09-05

Title: Cohort Generation for the OMOP Common Data Model
Description: Generate cohorts and subsets using an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) Database. Cohorts are defined using 'CIRCE' (<https://github.com/ohdsi/circe-be>) or SQL compatible with 'SqlRender' (<https://github.com/OHDSI/SqlRender>).
Author: Anthony Sena [aut, cre], Jamie Gilbert [aut], Gowtham Rao [aut], Freddy Avila Cruz [aut], Martijn Schuemie [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Anthony Sena <sena@ohdsi.org>

Diff between CohortGenerator versions 0.12.1 dated 2025-09-05 and 0.12.2 dated 2025-09-11

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Package autograph updated to version 0.4.1 with previous version 0.4.0 dated 2025-09-10

Title: Automatic Plotting of Many Graphs
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between autograph versions 0.4.0 dated 2025-09-10 and 0.4.1 dated 2025-09-11

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Package santoku updated to version 1.1.0 with previous version 1.0.0 dated 2024-06-04

Title: A Versatile Cutting Tool
Description: A tool for cutting data into intervals. Allows singleton intervals. Always includes the whole range of data by default. Flexible labelling. Convenience functions for cutting by quantiles etc. Handles dates, times, units and other vectors.
Author: David Hugh-Jones [aut, cre], Daniel Possenriede [ctb]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between santoku versions 1.0.0 dated 2024-06-04 and 1.1.0 dated 2025-09-11

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Package fluxible updated to version 1.3.2 with previous version 1.3.0 dated 2025-08-22

Title: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup
Description: Toolbox to process raw data from closed loop flux chamber (or tent) setups into ecosystem gas fluxes usable for analysis. It goes from a data frame of gas concentration over time (which can contain several measurements) and a meta data file indicating which measurement was done when, to a data frame of ecosystem gas fluxes including quality diagnostics. Organized with one function per step, maximizing user flexibility and backwards compatibility. Different models to estimate the fluxes from the raw data are available: exponential as described in Zhao et al (2018) <doi:10.1016/j.agrformet.2018.08.022>, exponential as described in Hutchinson and Mosier (1981) <doi:10.2136/sssaj1981.03615995004500020017x>, quadratic, and linear. Other functions include quality assessment, plotting for visual check, calculation of fluxes based on the setup specific parameters (chamber size, plot area, ...), gross primary production and transpiration rate calculation, and light response curves.
Author: Joseph Gaudard [aut, cre] , Richard James Telford [aut]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>

Diff between fluxible versions 1.3.0 dated 2025-08-22 and 1.3.2 dated 2025-09-11

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Package cata updated to version 0.1.1.2 with previous version 0.1.0.27 dated 2025-02-25

Title: Analysis of Check-All-that-Apply (CATA) Data
Description: Package contains functions for analyzing check-all-that-apply (CATA) data from consumer and sensory tests. Cochran's Q test, McNemar's test, and Penalty-Lift analysis are provided; for details, see Meyners, Castura & Carr (2013) <doi:10.1016/j.foodqual.2013.06.010>. Cluster analysis can be performed using b-cluster analysis, then evaluated using various measures; for details, see Castura, Meyners, Varela & Næs (2022) <doi:10.1016/j.foodqual.2022.104564>. Consumers can also be clustered on their product-related hedonic responses; see Castura, Meyners, Pohjanheimo, Varela & Næs (2023) <doi:10.1111/joss.12860>. Permutation tests based on the L1-norm methods are provided; for details, see Chaya, Castura & Greenacre (2025) <doi:10.1016/j.foodqual.2025.105639>.
Author: J.C. Castura [aut, cre, ctb]
Maintainer: J.C. Castura <jcastura@compusense.com>

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Package sfcentral updated to version 0.1.3 with previous version 0.1.0 dated 2024-03-12

Title: Spatial Centrality and Dispersion Statistics
Description: Compute centrographic statistics (central points, standard distance, standard deviation ellipse, standard deviation box) for observations taken at point locations in 2D or 3D. The 'sfcentral' library was inspired in 'aspace' package but conceived to be used in a spatial 'tidyverse' context.
Author: Gabriel V. Gaona [aut, cre]
Maintainer: Gabriel V. Gaona <gabo@gavg712.com>

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Package nascaR.data updated to version 2.2.3 with previous version 2.2.2 dated 2025-06-02

Title: NASCAR Race Data
Description: A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NASCAR Xfinity Series, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and extends through the end of the 2024 season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.com.
Author: Kyle Grealis [aut, cre] , Nick Triplett [ctb], Gabriel Odom [ctb]
Maintainer: Kyle Grealis <kylegrealis@icloud.com>

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Package guess updated to version 0.2.0 with previous version 0.1 dated 2016-02-08

Title: Adjust Estimates of Learning for Guessing
Description: Adjust Estimates of Learning for Guessing. The package provides standard guessing correction, and a latent class model that leverages informative pre-post transitions. For details of the latent class model, see <https://gsood.com/research/papers/guess.pdf>.
Author: Gaurav Sood [aut, cre], Ken Cor [aut]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package simtrial updated to version 1.0.1 with previous version 1.0.0 dated 2025-06-11

Title: Clinical Trial Simulation
Description: Provides some basic routines for simulating a clinical trial. The primary intent is to provide some tools to generate trial simulations for trials with time to event outcomes. Piecewise exponential failure rates and piecewise constant enrollment rates are the underlying mechanism used to simulate a broad range of scenarios such as those presented in Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>. However, the basic generation of data is done using pipes to allow maximum flexibility for users to meet different needs.
Author: Keaven Anderson [aut], Yujie Zhao [aut, cre], John Blischak [aut], Nan Xiao [ctb], Yilong Zhang [aut], Jianxiao Yang [ctb], Lili Ling [ctb], Xintong Li [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Yalin Zhu [ctb], Heng Zhou [ctb], Amin Sh [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package logger updated to version 0.4.1 with previous version 0.4.0 dated 2024-10-22

Title: A Lightweight, Modern and Flexible Logging Utility
Description: Inspired by the the 'futile.logger' R package and 'logging' Python module, this utility provides a flexible and extensible way of formatting and delivering log messages with low overhead.
Author: Gergely Daroczi [aut, cre] , Hadley Wickham [aut] , Spare Cores [fnd], System1 [fnd]
Maintainer: Gergely Daroczi <daroczig@rapporter.net>

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Package gsDesign2 updated to version 1.1.6 with previous version 1.1.5 dated 2025-06-27

Title: Group Sequential Design with Non-Constant Effect
Description: The goal of 'gsDesign2' is to enable fixed or group sequential design under non-proportional hazards. To enable highly flexible enrollment, time-to-event and time-to-dropout assumptions, 'gsDesign2' offers piecewise constant enrollment, failure rates, and dropout rates for a stratified population. This package includes three methods for designs: average hazard ratio, weighted logrank tests in Yung and Liu (2019) <doi:10.1111/biom.13196>, and MaxCombo tests. Substantial flexibility on top of what is in the 'gsDesign' package is intended for selecting boundaries.
Author: Keaven Anderson [aut], Yujie Zhao [aut, cre], Yilong Zhang [aut], John Blischak [aut], Yihui Xie [aut], Nan Xiao [aut], Jianxiao Yang [aut], Amin Shirazi [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Xin Tong Li [ctb], Chenxiang Li [ctb], [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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 gsDesign2-1.1.6/gsDesign2/R/rmst.R                                                                 |    2 
 gsDesign2-1.1.6/gsDesign2/R/summary.R                                                              |   36 
 gsDesign2-1.1.6/gsDesign2/R/text_summary.R                                                         |   30 
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Package ggstatsplot updated to version 0.13.2 with previous version 0.13.1 dated 2025-05-09

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph] , Chuck Powell [ctb]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between ggstatsplot versions 0.13.1 dated 2025-05-09 and 0.13.2 dated 2025-09-11

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Package echarts4r updated to version 0.4.6 with previous version 0.4.5 dated 2023-06-16

Title: Create Interactive Graphs with 'Echarts JavaScript' Version 5
Description: Easily create interactive charts by leveraging the 'Echarts Javascript' library which includes 36 chart types, themes, 'Shiny' proxies and animations.
Author: John Coene [aut, cph], David Munoz Tord [cre, ctb] , Wei Su [ctb], Helgasoft [ctb], Xianying Tan [ctb] , Robin Cura [ctb] , Mathida Chuk [ctb], Robert Koetsier [ctb] , Jelle Geertsma [ctb], Teofil Nakov [ctb]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

Diff between echarts4r versions 0.4.5 dated 2023-06-16 and 0.4.6 dated 2025-09-11

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Package sparkxgb updated to version 0.2.1 with previous version 0.2.0 dated 2024-04-30

Title: Interface for 'XGBoost' on 'Apache Spark'
Description: A 'sparklyr' <https://spark.posit.co/> extension that provides an R interface for 'XGBoost' <https://github.com/dmlc/xgboost> on 'Apache Spark'. 'XGBoost' is an optimized distributed gradient boosting library.
Author: Kevin Kuo [aut] , Yitao Li [aut] , Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@posit.co>

Diff between sparkxgb versions 0.2.0 dated 2024-04-30 and 0.2.1 dated 2025-09-11

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Package sleev updated to version 1.1.5 with previous version 1.1.4 dated 2025-06-27

Title: Semiparametric Likelihood Estimation with Errors in Variables
Description: Efficient regression analysis under general two-phase sampling, where Phase I includes error-prone data and Phase II contains validated data on a subset.
Author: Sarah Lotspeich [aut], Ran Tao [aut, cre], Joey Sherrill [prg], Jiangmei Xiong [ctb]
Maintainer: Ran Tao <r.tao@vanderbilt.edu>

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Package ineAtlas updated to version 0.1.4 with previous version 0.1.3 dated 2024-11-30

Title: Access to Spanish Household Income Distribution Atlas Data
Description: Provides access to granular socioeconomic indicators from the Spanish Statistical Office (INE) Household Income Distribution Atlas. The package downloads and processes data from a companion 'GitHub' repository (<https://github.com/pablogguz/ineAtlas.data/>) which contains processed versions of the official INE Atlas data. Functions are provided to fetch data at multiple geographic levels (municipalities, districts, and census tracts), including income indicators, demographic characteristics, and inequality metrics. The data repository is updated every year when new releases are published by INE.
Author: Pablo Garcia Guzman [aut, cre, cph]
Maintainer: Pablo Garcia Guzman <garciagp@ebrd.com>

Diff between ineAtlas versions 0.1.3 dated 2024-11-30 and 0.1.4 dated 2025-09-11

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More information about ineAtlas at CRAN
Permanent link

Package RobinCar2 updated to version 0.2.1 with previous version 0.2.0 dated 2025-09-09

Title: ROBust INference for Covariate Adjustment in Randomized Clinical Trials
Description: Performs robust estimation and inference when using covariate adjustment and/or covariate-adaptive randomization in randomized controlled trials. This package is trimmed to reduce the dependencies and validated to be used across industry. See "FDA's final guidance on covariate adjustment"<https://www.regulations.gov/docket/FDA-2019-D-0934>, Tsiatis (2008) <doi:10.1002/sim.3113>, Bugni et al. (2018) <doi:10.1080/01621459.2017.1375934>, Ye, Shao, Yi, and Zhao (2023)<doi:10.1080/01621459.2022.2049278>, Ye, Shao, and Yi (2022)<doi:10.1093/biomet/asab015>, Rosenblum and van der Laan (2010)<doi:10.2202/1557-4679.1138>, Wang et al. (2021)<doi:10.1080/01621459.2021.1981338>, Ye, Bannick, Yi, and Shao (2023)<doi:10.1080/24754269.2023.2205802>, and Bannick, Shao, Liu, Du, Yi, and Ye (2024)<doi:10.48550/arXiv.2306.10213>.
Author: Liming Li [aut, cre] , Marlena Bannick [aut] , Daniel Sabanes Bove [aut] , Dong Xi [aut], Ting Ye [aut], Yanyao Yi [aut], Gregory Chen [ctb], Gilead Sciences, Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], Merck Sharp & Dohme, Inc. [cph, fnd], [...truncated...]
Maintainer: Liming Li <liming.li1@astrazeneca.com>

Diff between RobinCar2 versions 0.2.0 dated 2025-09-09 and 0.2.1 dated 2025-09-11

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More information about RobinCar2 at CRAN
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Package truncSP readmission to version 1.2.4 with previous version 1.2.2 dated 2014-05-05

Title: Semi-Parametric Estimators of Truncated Regression Models
Description: Estimators for semi-parametric linear regression models with truncated response variables (fixed truncation point). The estimators implemented are the Symmetrically Trimmed Least Squares (STLS) estimator introduced by Powell (1986) <doi:10.2307/1914308>, the Quadratic Mode (QME) estimator introduced by Lee (1993) <doi:10.1016/0304-4076(93)90056-B>, and the Left Truncated (LT) estimator introduced by Karlsson (2006) <doi:10.1007/s00184-005-0023-x>.
Author: Anita Lindmark [aut, cre, cph], Maria Karlsson [aut]
Maintainer: Anita Lindmark <anita.lindmark@umu.se>

This is a re-admission after prior archival of version 1.2.2 dated 2014-05-05

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Permanent link

Package treestats updated to version 1.70.7 with previous version 1.70.5 dated 2024-08-26

Title: Phylogenetic Tree Statistics
Description: Collection of phylogenetic tree statistics, collected throughout the literature. All functions have been written to maximize computation speed. The package includes umbrella functions to calculate all statistics, all balance associated statistics, or all branching time related statistics. Furthermore, the 'treestats' package supports summary statistic calculations on Ltables, provides speed-improved coding of branching times, Ltable conversion and includes algorithms to create intermediately balanced trees. Full description can be found in Janzen (2024) <doi:10.1016/j.ympev.2024.108168>.
Author: Thijs Janzen [cre, aut]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

Diff between treestats versions 1.70.5 dated 2024-08-26 and 1.70.7 dated 2025-09-11

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More information about treestats at CRAN
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Package granova updated to version 2.3 with previous version 2.2 dated 2023-03-22

Title: Graphical Analysis of Variance
Description: This small collection of functions provides what we call elemental graphics for display of analysis of variance results, David C. Hoaglin, Frederick Mosteller and John W. Tukey (1991, ISBN:978-0-471-52735-0), Paul R. Rosenbaum (1989) <doi:10.2307/2684513>, Robert M. Pruzek and James E. Helmreich <https://jse.amstat.org/v17n1/helmreich.html>. The term elemental derives from the fact that each function is aimed at construction of graphical displays that afford direct visualizations of data with respect to the fundamental questions that drive the particular analysis of variance methods. These functions can be particularly helpful for students and non-statistician analysts. But these methods should be quite generally helpful for work-a-day applications of all kinds, as they can help to identify outliers, clusters or patterns, as well as highlight the role of non-linear transformations of data.
Author: Frederic Bertrand [aut, cre] , Robert M. Pruzek [aut], James E. Helmreich [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between granova versions 2.2 dated 2023-03-22 and 2.3 dated 2025-09-11

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Permanent link

Package GeoModels updated to version 2.2.0 with previous version 2.1.9 dated 2025-08-31

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph], Victor Morales-Onate [ctb], Francisco Cuevas-Pacheco [ctb], Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

Diff between GeoModels versions 2.1.9 dated 2025-08-31 and 2.2.0 dated 2025-09-11

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Package GeneNMF updated to version 0.9.2 with previous version 0.8.0 dated 2025-04-24

Title: Non-Negative Matrix Factorization for Single-Cell Omics
Description: A collection of methods to extract gene programs from single-cell gene expression data using non-negative matrix factorization (NMF). 'GeneNMF' contains functions to directly interact with the 'Seurat' toolkit and derive interpretable gene program signatures.
Author: Massimo Andreatta [aut, cre] , Santiago Carmona [aut]
Maintainer: Massimo Andreatta <massimo.andreatta@unige.ch>

Diff between GeneNMF versions 0.8.0 dated 2025-04-24 and 0.9.2 dated 2025-09-11

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Package cvasi updated to version 1.5.0 with previous version 1.4.0 dated 2025-02-28

Title: Calibration, Validation, and Simulation of TKTD Models
Description: Eases the use of ecotoxicological effect models. Can simulate common toxicokinetic-toxicodynamic (TK/TD) models such as General Unified Threshold models of Survival (GUTS) and Lemna. It can derive effects and effect profiles (EPx) from scenarios. It supports the use of 'tidyr' workflows employing the pipe symbol. Time-consuming tasks can be parallelized.
Author: Nils Kehrein [aut, cre], Dirk Nickisch [aut], Peter Vermeiren [aut], Torben Wittwer [ctb], Johannes Witt [ctb], Andre Gergs [ctb]
Maintainer: Nils Kehrein <nils.kehrein@gmail.com>

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Package scan updated to version 0.67.0 with previous version 0.66.0 dated 2025-09-02

Title: Single-Case Data Analyses for Single and Multiple Baseline Designs
Description: A collection of procedures for analysing, visualising, and managing single-case data. These include regression models (multilevel, multivariate, bayesian), between case standardised mean difference, overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u', 'IRD', 'baseline corrected tau', 'CDC'), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, and custom transformations. An export function helps to generate html, word, and latex tables in a publication friendly style. A shiny app allows to use scan in a graphical user interface. More details can be found in the online book 'Analyzing single-case data with R and scan', Juergen Wilbert (2025) <https://jazznbass.github.io/scan-Book/>.
Author: Juergen Wilbert [cre, aut] , Timo Lueke [aut]
Maintainer: Juergen Wilbert <juergen.wilbert@uni-muenster.de>

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Package diemr updated to version 1.5 with previous version 1.4.3 dated 2025-01-20

Title: Diagnostic Index Expectation Maximisation in R
Description: Likelihood-based genome polarisation finds which alleles of genomic markers belong to which side of the barrier. Co-estimates which individuals belong to either side of the barrier and barrier strength. Uses expectation maximisation in likelihood framework. The method is described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

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More information about diemr at CRAN
Permanent link

Package CCI updated to version 0.3.4 with previous version 0.3.1 dated 2025-08-28

Title: Computational Test for Conditional Independence
Description: Tool for performing computational testing for conditional independence between variables in a dataset. 'CCI' implements permutation in combination with Monte Carlo Cross-Validation in generating null distributions and test statistics. For more details see Computational Test for Conditional Independence (2024) <doi:10.3390/a17080323>.
Author: Christian B. H. Thorjussen [aut, cre] , Kristian Hovde Liland [aut]
Maintainer: Christian B. H. Thorjussen <christianbern@gmail.com>

Diff between CCI versions 0.3.1 dated 2025-08-28 and 0.3.4 dated 2025-09-11

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Permanent link

Package vegtable updated to version 0.1.10 with previous version 0.1.8 dated 2023-03-14

Title: Handling Vegetation Data Sets
Description: Import and handling data from vegetation-plot databases, especially data stored in 'Turboveg 2' (<https://www.synbiosys.alterra.nl/turboveg/>). Also import/export routines for exchange of data with 'Juice' (<https://www.sci.muni.cz/botany/juice/>) are implemented.
Author: Miguel Alvarez [aut, cre]
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

Diff between vegtable versions 0.1.8 dated 2023-03-14 and 0.1.10 dated 2025-09-11

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Permanent link

Package tstools updated to version 0.4.4 with previous version 0.4.3 dated 2024-01-18

Title: A Time Series Toolbox for Official Statistics
Description: Plot official statistics' time series conveniently: automatic legends, highlight windows, stacked bar chars with positive and negative contributions, sum-as-line option, two y-axes with automatic horizontal grids that fit both axes and other popular chart types. 'tstools' comes with a plethora of defaults to let you plot without setting an abundance of parameters first, but gives you the flexibility to tweak the defaults. In addition to charts, 'tstools' provides a super fast, 'data.table' backed time series I/O that allows the user to export / import long format, wide format and transposed wide format data to various file types.
Author: Matthias Bannert [aut], Severin Thoeni [aut], Stephane Bisinger [aut, cre]
Maintainer: Stephane Bisinger <bisinger@kof.ethz.ch>

Diff between tstools versions 0.4.3 dated 2024-01-18 and 0.4.4 dated 2025-09-11

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Permanent link

Package thisutils updated to version 0.1.5 with previous version 0.1.2 dated 2025-08-19

Title: Collection of Utility Functions for Data Analysis and Computing
Description: Provides utility functions for data analysis and scientific computing. Includes functions for parallel processing, and other computational tasks to streamline workflows.
Author: Meng Xu [aut, cre]
Maintainer: Meng Xu <mengxu98@qq.com>

Diff between thisutils versions 0.1.2 dated 2025-08-19 and 0.1.5 dated 2025-09-11

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Permanent link

Package subincomeR updated to version 0.4.0 with previous version 0.3.0 dated 2025-02-16

Title: Access to Global Sub-National Income Data
Description: Provides access to granular sub-national income data from the MCC-PIK Database Of Sub-national Economic Output (DOSE). The package downloads and processes the data from its open repository on 'Zenodo' (<https://zenodo.org/records/13773040>). Functions are provided to fetch data at multiple geographic levels, match coordinates to administrative regions, and access associated geometries.
Author: Pablo Garcia Guzman [aut, cre, cph]
Maintainer: Pablo Garcia Guzman <garciagp@ebrd.com>

Diff between subincomeR versions 0.3.0 dated 2025-02-16 and 0.4.0 dated 2025-09-11

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Permanent link

Package rix updated to version 0.17.2 with previous version 0.16.0 dated 2025-04-24

Title: Reproducible Data Science Environments with 'Nix'
Description: Simplifies the creation of reproducible data science environments using the 'Nix' package manager, as described in Dolstra (2006) <ISBN 90-393-4130-3>. The included `rix()` function generates a complete description of the environment as a `default.nix` file, which can then be built using 'Nix'. This results in project specific software environments with pinned versions of R, packages, linked system dependencies, and other tools or programming languages such as Python or Julia. Additional helpers make it easy to run R code in 'Nix' software environments for testing and production.
Author: Bruno Rodrigues [aut, cre] , Philipp Baumann [aut] , David Watkins [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/625>), Jacob Wujiciak-Jens [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/62 [...truncated...]
Maintainer: Bruno Rodrigues <bruno@brodrigues.co>

Diff between rix versions 0.16.0 dated 2025-04-24 and 0.17.2 dated 2025-09-11

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More information about rix at CRAN
Permanent link

Package Luminescence updated to version 1.1.1 with previous version 1.1.0 dated 2025-06-11

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

Diff between Luminescence versions 1.1.0 dated 2025-06-11 and 1.1.1 dated 2025-09-11

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More information about Luminescence at CRAN
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Package ssMRCD updated to version 2.0.0 with previous version 1.1.0 dated 2024-08-23

Title: Robust Estimators for Multi-Group and Spatial Data
Description: Estimation of robust estimators for multi-group and spatial data including the casewise robust Spatially Smoothed Minimum Regularized Determinant (ssMRCD) estimator and its usage for local outlier detection as described in Puchhammer and Filzmoser (2023) <doi:10.1080/10618600.2023.2277875> as well as for sparse robust PCA for multi-source data described in Puchhammer, Wilms and Filzmoser (2024) <doi:10.48550/arXiv.2407.16299>. Moreover, a cellwise robust multi-group Gaussian mixture model (MG-GMM) is implemented as described in Puchhammer, Wilms and Filzmoser (2024) <doi:10.48550/arXiv.2504.02547>. Included are also complementary visualization and parameter tuning tools.
Author: Patricia Puchhammer [aut, cre, cph], Peter Filzmoser [aut]
Maintainer: Patricia Puchhammer <patricia.puchhammer@tuwien.ac.at>

Diff between ssMRCD versions 1.1.0 dated 2024-08-23 and 2.0.0 dated 2025-09-11

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More information about ssMRCD at CRAN
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New package Slick with initial version 1.0.0
Package: Slick
Title: Interactive Visualization of MSE Results
Version: 1.0.0
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>
Description: A framework for visualizing and exploring results of a Management Strategy Evaluation (MSE). The publication quality figures and tables can be developed directly from the R console, or interactively explored with the 'Slick' App. For more details, see the `Slick` website <https://slick.bluematterscience.com>.
URL: https://slick.bluematterscience.com/, https://github.com/Blue-Matter/Slick
License: GPL-2
Depends: R (>= 4.1.0)
Imports: cli, dplyr, DT, ggplot2, ggrepel, golem, graphics, grDevices, methods, scales, shiny, stats, tibble, utils
Suggests: bookdown, colourpicker, colorspace, cowplot, esquisse, flextable, fresh, httr, kableExtra, knitr, MSEtool, openMSE, RColorBrewer, shiny.i18n, shinyalert, shinyBS, shinycssloaders, shinydashboard, shinydashboardPlus, shinyhelper, shinyjs, shinyWidgets, rmarkdown, testthat (>= 3.0.0), waiter
Encoding: UTF-8
BugReports: https://github.com/Blue-Matter/Slick/issues
NeedsCompilation: no
Packaged: 2025-09-09 05:16:57 UTC; Adrian
Author: Adrian Hordyk [aut, cre], Tom Carruthers [aut], Quang Huynh [aut], Shana Miller [aut]
Repository: CRAN
Date/Publication: 2025-09-11 09:20:18 UTC

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New package rsamplr with initial version 0.1.1
Package: rsamplr
Title: Sampling Algorithms and Spatially Balanced Sampling
Version: 0.1.1
Description: Fast tools for unequal probability sampling in multi-dimensional spaces, implemented in Rust for high performance. The package offers a wide range of methods, including Sampford (Sampford, 1967, <doi:10.1093/biomet/54.3-4.499>) and correlated Poisson sampling (Bondesson and Thorburn, 2008, <doi:10.1111/j.1467-9469.2008.00596.x>), pivotal sampling (Deville and Tillé, 1998, <doi:10.1093/biomet/91.4.893>), and balanced sampling such as the cube method (Deville and Tillé, 2004, <doi:10.1093/biomet/91.4.893>) to ensure auxiliary totals are respected. Spatially balanced approaches, including the local pivotal method (Grafström et al., 2012, <doi:10.1111/j.1541-0420.2011.01699.x>), spatially correlated Poisson sampling (Grafström, 2012, <doi:10.1016/j.jspi.2011.07.003>), and locally correlated Poisson sampling (Prentius, 2024, <doi:10.1002/env.2832>), provide efficient designs when the target variable is linked to auxiliary information.
URL: https://www.envisim.se/, https://github.com/envisim/rust-samplr/
BugReports: https://github.com/envisim/rust-samplr/issues
License: AGPL-3
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.2)
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.75.0
NeedsCompilation: yes
Packaged: 2025-09-09 07:31:24 UTC; wpmg
Author: Wilmer Prentius [aut, cre] , Anton Grafstroem [ctb] , Authors of the dependent Rust crates [aut]
Maintainer: Wilmer Prentius <wilmer.prentius@slu.se>
Repository: CRAN
Date/Publication: 2025-09-11 09:20:02 UTC

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Package rgplates updated to version 0.6.1 with previous version 0.6.0 dated 2025-04-25

Title: R Interface for the GPlates Web Service and Desktop Application
Description: Query functions to the GPlates <https://www.gplates.org/> Desktop Application and the GPlates Web Service <https://gws.gplates.org/> allow users to reconstruct past positions of geographic entities based on user-selected rotation models without leaving the R running environment. The online method (GPlates Web Service) makes the rotation of static plates, coastlines, and a low number of geographic coordinates available using nothing but an internet connection. The offline method requires an external installation of the GPlates Desktop Application, but allows the efficient batch rotation of thousands of coordinates, Simple Features (sf) and Spatial (sp) objects with custom reconstruction trees and partitioning polygons. Examples of such plate tectonic models are accessible via the chronosphere <https://cran.r-project.org/package=chronosphere>. This R extension is developed under the umbrella of the DFG (Deutsche Forschungsgemeinschaft) Research Unit TERSANE2 (For 2332, [...truncated...]
Author: Adam T. Kocsis [cre, aut] , Nussaibah B. Raja [ctb] , Simon Williams [ctb] , Elizabeth M. Dowding [ctb] , Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>

Diff between rgplates versions 0.6.0 dated 2025-04-25 and 0.6.1 dated 2025-09-11

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New package REXoplanets with initial version 0.1.2
Package: REXoplanets
Title: Creates Interface with NASA 'Exoplanets Archive API'
Version: 0.1.2
Description: Provides a user-friendly interface to NASA 'Exoplanets Archive API' <https://exoplanetarchive.ipac.caltech.edu/>, enabling retrieval and analysis of exoplanetary and stellar data. Includes functions for querying, filtering, summarizing, and computing derived parameters from the 'Exoplanets' catalog.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: dplyr, checkmate, purrr, httr2, readr, utils, ggplot2, jsonlite, logger
Suggests: testthat (>= 3.0.0), roxygen2, lintr, devtools, spelling, shiny, shinyjs, bslib, shinytest2, bsicons, htmltools
URL: https://JKolomanski.github.io/REXoplanets/ https://github.com/JKolomanski/REXoplanets
BugReports: https://github.com/JKolomanski/REXoplanets/issues
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-08 21:40:22 UTC; yasha
Author: Jakub Kolomanski [cre, aut], Mateusz Kolomanski [aut]
Maintainer: Jakub Kolomanski <xqubula@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-11 09:10:02 UTC

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Package PrInDT updated to version 2.0.2 with previous version 2.0.1 dated 2025-08-25

Title: Prediction and Interpretation in Decision Trees for Classification and Regression
Description: Optimization of conditional inference trees from the package 'party' for classification and regression. For optimization, the model space is searched for the best tree on the full sample by means of repeated subsampling. Restrictions are allowed so that only trees are accepted which do not include pre-specified uninterpretable split results (cf. Weihs & Buschfeld, 2021a). The function PrInDT() represents the basic resampling loop for 2-class classification (cf. Weihs & Buschfeld, 2021a). The function RePrInDT() (repeated PrInDT()) allows for repeated applications of PrInDT() for different percentages of the observations of the large and the small classes (cf. Weihs & Buschfeld, 2021c). The function NesPrInDT() (nested PrInDT()) allows for an extra layer of subsampling for a specific factor variable (cf. Weihs & Buschfeld, 2021b). The functions PrInDTMulev() and PrInDTMulab() deal with multilevel and multilabel classification. In addition to these PrInDT() variants for c [...truncated...]
Author: Claus Weihs [aut, cre], Sarah Buschfeld [aut], Niklas Nitsch [ctb]
Maintainer: Claus Weihs <claus.weihs@tu-dortmund.de>

Diff between PrInDT versions 2.0.1 dated 2025-08-25 and 2.0.2 dated 2025-09-11

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Package MTest updated to version 1.0.4 with previous version 1.0.3 dated 2025-09-10

Title: A Procedure for Multicollinearity Testing using Bootstrap
Description: Functions for detecting multicollinearity. This test gives statistical support to two of the most famous methods for detecting multicollinearity in applied work: Klein’s rule and Variance Inflation Factor (VIF). See the URL for the papers associated with this package, as for instance, Morales-Oñate and Morales-Oñate (2015) <doi:10.33333/rp.vol51n2.05>.
Author: Victor Morales-Onate [aut, cre] , Bolivar Morales-Onate [aut]
Maintainer: Victor Morales-Onate <vmorales.ppb@gmail.com>

Diff between MTest versions 1.0.3 dated 2025-09-10 and 1.0.4 dated 2025-09-11

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More information about MTest at CRAN
Permanent link

New package ivolcano with initial version 0.0.1
Package: ivolcano
Title: Interactive Volcano Plot
Version: 0.0.1
Description: Generate interactive volcano plots for exploring gene expression data. Built with 'ggplot2', the plots are rendered interactive using 'ggiraph', enabling users to hover over points to display detailed information or click to trigger custom actions.
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, ggiraph, ggrepel, rlang
Suggests: quarto, yulab.utils
VignetteBuilder: quarto
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-09 06:56:20 UTC; HUAWEI
Author: Guangchuang Yu [aut, cre, cph]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-11 09:20:07 UTC

More information about ivolcano at CRAN
Permanent link

Package irace updated to version 4.3 with previous version 4.2.0 dated 2025-02-12

Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Author: Manuel Lopez-Ibanez [aut, cre] , Jeremie Dubois-Lacoste [aut], Leslie Perez Caceres [aut], Thomas Stuetzle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb], Nguyen Dang [ctb]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

Diff between irace versions 4.2.0 dated 2025-02-12 and 4.3 dated 2025-09-11

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Package ggmap updated to version 4.0.2 with previous version 4.0.1 dated 2025-04-07

Title: Spatial Visualization with ggplot2
Description: A collection of functions to visualize spatial data and models on top of static maps from various online sources (e.g Google Maps and Stamen Maps). It includes tools common to those tasks, including functions for geolocation and routing.
Author: David Kahle [aut, cre] , Hadley Wickham [aut] , Scott Jackson [aut], Mikko Korpela [ctb]
Maintainer: David Kahle <david@kahle.io>

Diff between ggmap versions 4.0.1 dated 2025-04-07 and 4.0.2 dated 2025-09-11

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Package FlexReg updated to version 1.4.1 with previous version 1.4 dated 2025-09-09

Title: Regression Models for Bounded Continuous and Discrete Responses
Description: Functions to fit regression models for bounded continuous and discrete responses. In case of bounded continuous responses (e.g., proportions and rates), available models are the flexible beta (Migliorati, S., Di Brisco, A. M., Ongaro, A. (2018) <doi:10.1214/17-BA1079>), the variance-inflated beta (Di Brisco, A. M., Migliorati, S., Ongaro, A. (2020) <doi:10.1177/1471082X18821213>), the beta (Ferrari, S.L.P., Cribari-Neto, F. (2004) <doi:10.1080/0266476042000214501>), and their augmented versions to handle the presence of zero/one values (Di Brisco, A. M., Migliorati, S. (2020) <doi:10.1002/sim.8406>) are implemented. In case of bounded discrete responses (e.g., bounded counts, such as the number of successes in n trials), available models are the flexible beta-binomial (Ascari, R., Migliorati, S. (2021) <doi:10.1002/sim.9005>), the beta-binomial, and the binomial are implemented. Inference is dealt with a Bayesian approach based on the Hamiltonian Monte C [...truncated...]
Author: Roberto Ascari [aut, cre], Agnese M. Di Brisco [aut], Sonia Migliorati [aut], Andrea Ongaro [aut]
Maintainer: Roberto Ascari <roberto.ascari@unimib.it>

Diff between FlexReg versions 1.4 dated 2025-09-09 and 1.4.1 dated 2025-09-11

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Package fEGarch updated to version 1.0.2 with previous version 1.0.1 dated 2025-06-20

Title: SM/LM EGARCH & GARCH, VaR/ES Backtesting & Dual LM Extensions
Description: Implement and fit a variety of short-memory (SM) and long-memory (LM) models from a very broad family of exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models, such as a MEGARCH (modified EGARCH), FIEGARCH (fractionally integrated EGARCH), FIMLog-GARCH (fractionally integrated modulus Log-GARCH), and more. The FIMLog-GARCH as part of the EGARCH family is discussed in Feng et al. (2023) <https://econpapers.repec.org/paper/pdnciepap/156.htm>. For convenience and the purpose of comparison, a variety of other popular SM and LM GARCH-type models, like an APARCH model, a fractionally integrated APARCH (FIAPARCH) model, standard GARCH and fractionally integrated GARCH (FIGARCH) models, GJR-GARCH and FIGJR-GARCH models, TGARCH and FITGARCH models, are implemented as well as dual models with simultaneous modelling of the mean, including dual long-memory models with a fractionally integrated autoregressive moving average (FARIMA) model in the mean and a long [...truncated...]
Author: Dominik Schulz [aut, cre] , Yuanhua Feng [aut] , Christian Peitz [aut] ), Oliver Kojo Ayensu [aut] , Thomas Gries [ctb] , Sikandar Siddiqui [ctb] , Shujie Li [ctb]
Maintainer: Dominik Schulz <dominik.schulz@uni-paderborn.de>

Diff between fEGarch versions 1.0.1 dated 2025-06-20 and 1.0.2 dated 2025-09-11

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Package carrier updated to version 0.3.0.4 with previous version 0.2.0 dated 2025-06-23

Title: Isolate Functions for Remote Execution
Description: Sending functions to remote processes can be wasteful of resources because they carry their environments with them. With the carrier package, it is easy to create functions that are isolated from their environment. These isolated functions, also called crates, print at the console with their total size and can be easily tested locally before being sent to a remote.
Author: Lionel Henry [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between carrier versions 0.2.0 dated 2025-06-23 and 0.3.0.4 dated 2025-09-11

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More information about carrier at CRAN
Permanent link

Package blosc updated to version 0.1.1 with previous version 0.0.6 dated 2025-09-01

Title: Compress and Decompress Data Using the 'BLOSC' Library
Description: Arrays of structured data types can require large volumes of disk space to store. 'Blosc' is a library that provides a fast and efficient way to compress such data. It is often applied in storage of n-dimensional arrays, such as in the case of the geo-spatial 'zarr' file format. This package can be used to compress and decompress data using 'Blosc'.
Author: Pepijn de Vries [aut, cre] , Chris Maiwald [cph], Alexander Gessler [cph]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between blosc versions 0.0.6 dated 2025-09-01 and 0.1.1 dated 2025-09-11

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More information about blosc at CRAN
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New package ABCDscores with initial version 6.0.1
Package: ABCDscores
Title: Summary Scores of the Adolescent Brain Cognitive Development (ABCD) Study
Description: Provides functions to compute summary scores (besides proprietary ones) reported in the tabulated data resource that is released by the Adolescent Brain Cognitive Development (ABCD) study. Feldstein Ewing and Luciana (2018) <https://www.sciencedirect.com/journal/developmental-cognitive-neuroscience/vol/32>.
URL: https://software.nbdc-datahub.org/ABCDscores/
Version: 6.0.1
Depends: R (>= 4.3.0)
Imports: chk, cli, dplyr, glue, lubridate, magrittr, purrr, rlang, stringr, tibble, tidyr, stats, utils
Suggests: arrow, rmarkdown, roxyglobals, testthat (>= 3.0.0), knitr, reactable, readr, usethis
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-08 19:53:56 UTC; lz
Author: Janosch Linkersdoerfer [aut, cre] , Le Zhang [aut] , Olivier Celhay [aut] , Biplabendu Das [aut] , Sammy Berman [aut] , Laura Ziemer [aut]
Maintainer: Janosch Linkersdoerfer <dairc.service@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-11 09:00:16 UTC

More information about ABCDscores at CRAN
Permanent link

Package latentnet updated to version 2.12.0 with previous version 2.11.0 dated 2024-02-19

Title: Latent Position and Cluster Models for Statistical Networks
Description: Fit and simulate latent position and cluster models for statistical networks. See Krivitsky and Handcock (2008) <doi:10.18637/jss.v024.i05> and Krivitsky, Handcock, Raftery, and Hoff (2009) <doi:10.1016/j.socnet.2009.04.001>.
Author: Pavel N. Krivitsky [aut, cre] , Mark S. Handcock [aut], Susan M. Shortreed [ctb], Jeremy Tantrum [ctb], Peter D. Hoff [ctb], Li Wang [ctb], Kirk Li [ctb], Jake Fisher [ctb], Jordan T. Bates [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

Diff between latentnet versions 2.11.0 dated 2024-02-19 and 2.12.0 dated 2025-09-11

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Package galisats updated to version 2.0.2 with previous version 1.0.1 dated 2025-07-21

Title: Configuration of Jupiter's Four Largest Satellites
Description: Calculate and plot the configuration of Jupiter's four largest satellites (known as Galilean satellites) for a given date and time (UTC - Coordinated Universal Time). The galsat() function returns numerical values of the satellites’ positions. x – the apparent rectangular coordinate of the satellite with respect to the center of Jupiter’s disk in the equatorial plane in the units of Jupiter’s equatorial radius; X is positive toward the west, y – the apparent rectangular coordinate of the satellite with respect to the center of Jupiter’s disk from the equatorial plane in the units of Jupiter’s equatorial radius; Y is positive toward the north. For more details see Meeus (1988, ISBN 0-943396-22-0) "Astronomical Formulae for Calculators". The function delta_t() returns the value of delta-T in units of seconds.
Author: Lech Jaszowski [aut, cre, cph]
Maintainer: Lech Jaszowski <lech.jaszowski@interia.pl>

Diff between galisats versions 1.0.1 dated 2025-07-21 and 2.0.2 dated 2025-09-11

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Package ergm.count updated to version 4.1.3 with previous version 4.1.2 dated 2024-06-16

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges
Description: A set of extensions for the 'ergm' package to fit weighted networks whose edge weights are counts. See Krivitsky (2012) <doi:10.1214/12-EJS696> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.
Author: Pavel N. Krivitsky [aut, cre] , Mark S. Handcock [ctb], David R. Hunter [ctb], Joyce Cheng [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package CrossCarry updated to version 1.0.0 with previous version 0.5.0 dated 2025-06-24

Title: Analysis of Data from a Crossover Design with GEE
Description: Analyze data from a crossover design using generalized estimation equations (GEE), including carryover effects and various correlation structures based on the Kronecker product. It contains functions for semiparametric estimates of carry-over effects in repeated measures and allows estimation of complex carry-over effects. Related work includes: a) Cruz N.A., Melo O.O., Martinez C.A. (2023). "CrossCarry: An R package for the analysis of data from a crossover design with GEE". <doi:10.48550/arXiv.2304.02440>. b) Cruz N.A., Melo O.O., Martinez C.A. (2023). "A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures". <doi:10.1007/s00362-022-01391-z> and c) Cruz N.A., Melo O.O., Martinez C.A. (2023). "Semiparametric generalized estimating equations for repeated measurements in cross-over designs". <doi:10.1177/09622802231158736>.
Author: Nelson Alirio Cruz Gutierrez [aut, cre, cph], Oscar Orlando Melo [aut], Carlos Alberto Martinez [aut], Ricardo Alberich Marti [aut]
Maintainer: Nelson Alirio Cruz Gutierrez <nelson-alirio.cruz@uib.es>

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New package workspace with initial version 0.1.5
Package: workspace
Title: Manage Collections of Datasets and Objects
Version: 0.1.5
Description: Create, store, read and manage structured collections of datasets and other objects using a 'workspace', then bundle it into a compressed archive. Using open and interoperable formats makes it possible to exchange bundled data from 'R' to other languages such as 'Python' or 'Julia'. Multiple formats are supported 'Parquet', 'JSON', 'yaml', spatial data and raster data are supported.
License: MIT + file LICENSE
BugReports: https://github.com/ardata-fr/workspace/issues
Imports: arrow, cli, dplyr, rlang, stringi, tibble, tools, utils, yaml, zip
Suggests: sf, terra, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-08 12:54:38 UTC; EliDaniels
Author: Eli Daniels [aut, cre], David Gohel [aut], ArData [cph, fnd]
Maintainer: Eli Daniels <eli.daniels@ardata.fr>
Repository: CRAN
Date/Publication: 2025-09-11 07:20:02 UTC

More information about workspace at CRAN
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Package ggplot2 updated to version 4.0.0 with previous version 3.5.2 dated 2025-04-09

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut] , Winston Chang [aut] , Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] , Kohske Takahashi [aut], Claus Wilke [aut] , Kara Woo [aut] , Hiroaki Yutani [aut] , Dewey Dunnington [aut] , Teun van den Brand [aut] , Posit, PBC [cph, [...truncated...]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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 ggplot2-4.0.0/ggplot2/NAMESPACE                                                                                    |  123 
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Package fairmetrics updated to version 1.0.6 with previous version 1.0.5 dated 2025-09-05

Title: Fairness Evaluation Metrics with Confidence Intervals for Binary Protected Attributes
Description: A collection of functions for computing fairness metrics for machine learning and statistical models, including confidence intervals for each metric. The package supports the evaluation of group-level fairness criterion commonly used in fairness research, particularly in healthcare for binary protected attributes. It is based on the overview of fairness in machine learning written by Gao et al (2024) <doi:10.48550/arXiv.2406.09307>.
Author: Jianhui Gao [aut] , Benjamin Smith [aut, cre] , Benson Chou [aut] , Jessica Gronsbell [aut]
Maintainer: Benjamin Smith <benyamin.smith@mail.utoronto.ca>

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Package ergm.rank updated to version 4.1.2 with previous version 4.1.1 dated 2024-06-16

Title: Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order Relational Data
Description: A set of extensions for the 'ergm' package to fit weighted networks whose edge weights are ranks. See Krivitsky and Butts (2017) <doi:10.1177/0081175017692623> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.
Author: Pavel N. Krivitsky [aut, cre] , Carter T. Butts [ctb], Mark S. Handcock [ctb], David R. Hunter [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package ChileDataAPI updated to version 0.2.0 with previous version 0.1.0 dated 2025-07-16

Title: Access Chilean Data via APIs and Curated Datasets
Description: Provides functions to access data from public RESTful APIs including 'FINDIC API', 'REST Countries API', 'World Bank API', and 'Nager.Date', retrieving real-time or historical data related to Chile such as financial indicators, holidays, international demographic and geopolitical indicators, and more. Additionally, the package includes curated datasets related to Chile, covering topics such as human rights violations during the Pinochet regime, electoral data, census samples, health surveys, seismic events, territorial codes, and environmental measurements. The package supports research and analysis focused on Chile by integrating open APIs with high-quality datasets from multiple domains. For more information on the APIs, see: 'FINDIC' <https://findic.cl/>, 'REST Countries' <https://restcountries.com/>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'Nager.Date' <https://date.nager.at/Api>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package CGNM updated to version 0.9.2 with previous version 0.9.1 dated 2025-01-28

Title: Cluster Gauss-Newton Method
Description: Find multiple solutions of a nonlinear least squares problem. Cluster Gauss-Newton method does not assume uniqueness of the solution of the nonlinear least squares problem and compute multiple minimizers. Please cite the following paper when this software is used in your research: Aoki et al. (2020) <doi:10.1007/s11081-020-09571-2>. Cluster Gauss–Newton method. Optimization and Engineering, 1-31. Please cite the following paper when profile likelihood plot is drawn with this software and used in your research: Aoki and Sugiyama (2024) <doi:10.1002/psp4.13055>. Cluster Gauss-Newton method for a quick approximation of profile likelihood: With application to physiologically-based pharmacokinetic models. CPT Pharmacometrics Syst Pharmacol.13(1):54-67. GPT based helper bot available at <https://chatgpt.com/g/g-684936db9e748191a2796debb00cd755-cluster-gauss-newton-method-helper-bot> .
Author: Yasunori Aoki [aut, cre]
Maintainer: Yasunori Aoki <yaoki@uwaterloo.ca>

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Package biometryassist updated to version 1.3.2 with previous version 1.3.1 dated 2025-07-04

Title: Functions to Assist Design and Analysis of Agronomic Experiments
Description: Provides functions to aid in the design and analysis of agronomic and agricultural experiments through easy access to documentation and helper functions, especially for users who are learning these concepts. While not required for most functionality, this package enhances the `asreml` package which provides a computationally efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It is a commercial package that can be purchased as 'asreml-R' from 'VSNi' <https://vsni.co.uk/>, who will supply a zip file for local installation/updating (see <https://asreml.kb.vsni.co.uk/>).
Author: Sharon Nielsen [aut], Sam Rogers [aut, cre], Annie Conway [aut], University of Adelaide [cph, fnd] , Grains Research and Development Corporation [cph, fnd]
Maintainer: Sam Rogers <biometrytraining@adelaide.edu.au>

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Package exams.forge.data updated to version 0.1.2 with previous version 0.1.0 dated 2025-01-10

Title: Sample and Precomputed Data for Use with 'exams.forge'
Description: Provides a small collection of datasets supporting Pearson correlation and linear regression analysis. It includes the precomputed dataset 'sos100', with integer values summing to zero and squared sum equal to 100. For other values of 'n' and user-defined parameters, the 'sos()' function from the 'exams.forge' package can be used to generate datasets on the fly. In addition, the package contains around 500 R Markdown exercises that illustrate the usage of 'exams.forge' commands.
Author: Sigbert Klinke [aut, cre]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>

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New package factorH with initial version 0.4.0
Package: factorH
Title: Multifactor Nonparametric Rank-Based ANOVA with Post Hoc Tests
Version: 0.4.0
Description: Multifactor nonparametric analysis of variance based on ranks. Builds on the Kruskal-Wallis H test and its 2x2 Scheirer-Ray-Hare extension to handle any factorial designs. Provides effect sizes, Dunn-Bonferroni pairwise-comparison matrices, and simple-effects analyses. Tailored for psychology and the social sciences, with beginner-friendly R syntax and outputs that can be dropped into journal reports. Includes helpers to export tab-separated results and compact tables of descriptive statistics (to APA-style reports).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: rcompanion, FSA, car, dplyr, stats, utils, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, haven
VignetteBuilder: knitr
Contact: tomasz.rak@upjp2.edu.pl
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-08 06:01:43 UTC; PC
Author: Tomasz Rak [aut, cre], Szymon Wrzesniowski [aut]
Maintainer: Tomasz Rak <tomasz.rak@upjp2.edu.pl>
Repository: CRAN
Date/Publication: 2025-09-11 06:50:02 UTC

More information about factorH at CRAN
Permanent link

Package NBDCtools (with last version 1.0.1) was removed from CRAN

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

2025-09-10 1.0.1

Permanent link
Package designmatch (with last version 0.5.4) was removed from CRAN

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

2023-08-29 0.5.4
2023-07-10 0.5.3
2023-06-26 0.5.1
2022-08-25 0.4.1
2018-06-18 0.3.1
2017-05-17 0.3.0
2016-08-11 0.2.0
2016-02-15 0.1.1
2016-01-28 0.1

Permanent link
Package tutorial.helpers updated to version 0.6.0 with previous version 0.5.0 dated 2025-05-11

Title: Helper Functions for Creating Tutorials
Description: Helper functions for creating, editing, and testing tutorials created with the 'learnr' package. Provides a simple method for allowing students to download their answers to tutorial questions. For examples of its use, see the 'r4ds.tutorials' package.
Author: David Kane [aut, cre, cph]
Maintainer: David Kane <dave.kane@gmail.com>

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Package redcapAPI updated to version 2.11.3 with previous version 2.11.1 dated 2025-08-18

Title: Interface to 'REDCap'
Description: Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
Author: Benjamin Nutter [ctb, aut], Shawn Garbett [cre, ctb] , Savannah Obregon [ctb], Thomas Obadia [ctb], Marcus Lehr [ctb], Brian High [ctb], Stephen Lane [ctb], Will Beasley [ctb], Will Gray [ctb], Nick Kennedy [ctb], Tan Hsi-Nien [ctb], Jeffrey Horner [ [...truncated...]
Maintainer: Shawn Garbett <shawn.garbett@vumc.org>

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 redcapAPI-2.11.3/redcapAPI/NEWS.md                                                         |   14 
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Package RcppEigenAD readmission to version 1.1.0 with previous version 1.0.0 dated 2018-06-15

Title: Generate Partial Derivatives using 'Rcpp', 'Eigen' and 'CppAD'
Description: Compiles 'C++' code using 'Rcpp' <doi:10.18637/jss.v040.i08>, 'Eigen' <doi:10.18637/jss.v052.i05> and 'CppAD' to produce first and second order partial derivatives. Also provides an implementation of Faa' di Bruno's formula to combine the partial derivatives of composed functions.
Author: Daniel Grose [aut, cre], Robert Crouchley [aut, ctb]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

This is a re-admission after prior archival of version 1.0.0 dated 2018-06-15

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 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/ad_io.hpp                      |  272 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/ad_to_string.hpp               |  102 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/ad_type.hpp                    |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/ad_valued.hpp                  |   61 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/add.hpp                        |  187 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/add_eq.hpp                     |  181 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/arithmetic.hpp                 |   42 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/atan2.hpp                      |  209 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/atomic                         |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/azmul.hpp                      |  344 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/base2ad.hpp                    |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/base_complex.hpp               |  580 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/base_cond_exp.hpp              |  404 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/base_double.hpp                |  422 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/base_float.hpp                 |  422 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/base_hash.hpp                  |  103 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/base_limits.hpp                |   94 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/base_std_math.hpp              |  247 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/base_to_string.hpp             |   88 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/bender_quad.hpp                |  718 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/bool_fun.hpp                   |  233 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/bool_valued.hpp                |   67 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/capacity_order.hpp             |  333 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/check_for_nan.hpp              |  292 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/chkpoint_one                   |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/chkpoint_two                   |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/compare.hpp                    |  876 ++-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/compound_assign.hpp            |  233 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/con_dyn_var.hpp                |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/cond_exp.hpp                   |  430 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/convert.hpp                    |   61 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/cppad_assert.hpp               |  188 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/dependent.hpp                  |  482 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/discrete                       |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/div.hpp                        |  189 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/div_eq.hpp                     |  183 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/drivers.hpp                    |   15 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/epsilon.hpp                    |   72 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/equal_op_seq.hpp               |  162 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/for_hes_sparsity.hpp           |  475 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/for_jac_sparsity.hpp           |  439 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/for_one.hpp                    |  243 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/for_sparse_hes.hpp             |  832 +--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/for_sparse_jac.hpp             | 1095 ++--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/for_two.hpp                    |  433 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/forward                        |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/fun_check.hpp                  |  353 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/fun_construct.hpp              |  789 +--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/fun_eval.hpp                   |   18 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/graph                          |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/hash_code.hpp                  |   44 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/hessian.hpp                    |  353 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/identical.hpp                  |   50 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/independent                    |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/integer.hpp                    |  157 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/jacobian.hpp                   |  393 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/lu_ratio.hpp                   |  586 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/mul.hpp                        |  199 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/mul_eq.hpp                     |  201 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/near_equal_ext.hpp             |  210 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/new_dynamic.hpp                |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/num_skip.hpp                   |  176 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/numeric_limits.hpp             |  361 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/omp_max_thread.hpp             |  102 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/opt_val_hes.hpp                |  778 +--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/optimize.hpp                   |  550 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/ordered.hpp                    |   41 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/parallel_ad.hpp                |  202 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/pow.hpp                        |  374 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/print_for.hpp                  |  388 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/rev_hes_sparsity.hpp           |  386 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/rev_jac_sparsity.hpp           |  376 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/rev_one.hpp                    |  250 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/rev_sparse_hes.hpp             |  943 +--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/rev_sparse_jac.hpp             |  930 +--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/rev_two.hpp                    |  393 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/reverse.hpp                    |  276 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/sign.hpp                       |  168 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/sparse.hpp                     |   26 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/sparse_hes.hpp                 |  802 +--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/sparse_hessian.hpp             | 1164 ++--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/sparse_jac.hpp                 |  899 +--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/sparse_jacobian.hpp            | 1490 ++---
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/standard_math.hpp              |  219 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/std_math_11.hpp                |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/sub.hpp                        |  174 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/sub_eq.hpp                     |  173 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/subgraph_jac_rev.hpp           |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/subgraph_reverse.hpp           |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/subgraph_sparsity.hpp          |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/tape_link.hpp                  |  310 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/testvector.hpp                 |  185 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/to_csrc.hpp                    |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/unary_minus.hpp                |  165 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/unary_plus.hpp                 |  115 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/undef.hpp                      |   84 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/user_ad.hpp                    |   84 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/value.hpp                      |  119 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/var2par.hpp                    |  100 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/vec_ad                         |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/core/zdouble.hpp                    |  621 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/cppad.hpp                           |   34 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/example/atomic_four                 |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/example/atomic_three                |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/example/atomic_two                  |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/example/base_adolc.hpp              |  645 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/example/code_gen_fun.hpp            |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/example/cppad_eigen.hpp             |  380 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/example/eigen_plugin.hpp            |   32 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/example/valvector                   |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/ipopt/solve.hpp                     | 1011 ++--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/ipopt/solve_callback.hpp            | 2293 ++++-----
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/ipopt/solve_result.hpp              |   87 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/ad_tape.hpp                   |  311 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/atom_state.hpp                |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/atomic_index.hpp              |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/color_general.hpp             |  417 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/color_symmetric.hpp           |  476 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/cppad_colpack.hpp             |   52 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/declare_ad.hpp                |  328 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/define.hpp                    |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/graph                         |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/hash_code.hpp                 |  324 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/independent.hpp               |  145 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/is_pod.hpp                    |  110 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/op_code_dyn.hpp               |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/op_code_var.hpp               |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/cexp_info.hpp        |  150 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/csum_op_info.hpp     |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/csum_stacks.hpp      |   38 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/extract_option.hpp   |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/get_cexp_info.hpp    |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/get_dyn_previous.hpp |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/get_op_previous.hpp  |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/get_op_usage.hpp     |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/get_par_usage.hpp    |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/hash_code.hpp        |   41 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/match_op.hpp         |  569 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/optimize_run.hpp     | 2167 +++++---
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/record_csum.hpp      |  569 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/record_pv.hpp        |  117 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/record_vp.hpp        |  111 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/record_vv.hpp        |  100 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/size_pair.hpp        |   19 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/optimize/usage.hpp            |   41 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/play                          |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/pod_vector.hpp                |  894 ++-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/record                        |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/set_get_in_parallel.hpp       |  115 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/sparse                        |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/std_set.hpp                   |   42 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/subgraph                      |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/sweep                         |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/temp_file.hpp                 |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/utility                       |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/val_graph                     |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/local/var_op                        |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/speed/det_33.hpp                    |  162 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/speed/det_by_lu.hpp                 |  256 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/speed/det_by_minor.hpp              |  262 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/speed/det_grad_33.hpp               |  189 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/speed/det_of_minor.hpp              |  467 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/speed/mat_sum_sq.hpp                |  228 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/speed/ode_evaluate.hpp              |  399 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/speed/sparse_hes_fun.hpp            |  447 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/speed/sparse_jac_fun.hpp            |  361 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/speed/uniform_01.hpp                |  142 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility.hpp                         |   31 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/check_numeric_type.hpp      |  268 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/check_simple_vector.hpp     |  343 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/create_dll_lib.hpp          |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/elapsed_seconds.hpp         |  195 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/error_handler.hpp           |  358 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/index_sort.hpp              |  234 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/link_dll_lib.hpp            |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/lu_factor.hpp               |  645 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/lu_invert.hpp               |  392 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/lu_solve.hpp                |  527 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/memory_leak.hpp             |  275 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/nan.hpp                     |  274 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/near_equal.hpp              |  378 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/ode_err_control.hpp         |  989 ++-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/ode_gear.hpp                |  932 +--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/ode_gear_control.hpp        |  925 +--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/omp_alloc.hpp               | 1170 ++--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/poly.hpp                    |  296 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/pow_int.hpp                 |  216 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/romberg_mul.hpp             |  516 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/romberg_one.hpp             |  335 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/rosen_34.hpp                |  842 +--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/runge_45.hpp                |  720 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/set_union.hpp               |  110 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/sparse2eigen.hpp            |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/sparse_rc.hpp               |  884 ++-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/sparse_rcv.hpp              |  482 +
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/speed_test.hpp              |  708 +-
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/test_boolofvoid.hpp         |  246 
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/thread_alloc.hpp            | 2493 +++++-----
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/time_test.hpp               |  342 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/to_string.hpp               |  264 -
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/track_new_del.hpp           |  752 +--
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/vector.hpp                  | 1590 ++----
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/utility/vector_bool.hpp             |only
 RcppEigenAD-1.1.0/RcppEigenAD/inst/include/cppad/wno_conversion.hpp                  |   39 
 RcppEigenAD-1.1.0/RcppEigenAD/src/figere.cpp                                         |only
 302 files changed, 35068 insertions(+), 32788 deletions(-)

More information about RcppEigenAD at CRAN
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Package qfa updated to version 4.2 with previous version 4.1 dated 2025-04-09

Title: Quantile-Frequency Analysis (QFA) of Time Series
Description: Quantile-frequency analysis (QFA) of time series based on trigonometric quantile regression. Spline quantile regression (SQR) for regression coefficient estimation. References: [1] Li, T.-H. (2012) "Quantile periodograms," Journal of the American Statistical Association, 107, 765–776, <doi:10.1080/01621459.2012.682815>. [2] Li, T.-H. (2014) Time Series with Mixed Spectra, CRC Press, <doi:10.1201/b15154> [3] Li, T.-H. (2022) "Quantile Fourier transform, quantile series, and nonparametric estimation of quantile spectra," <doi:10.48550/arXiv.2211.05844>. [4] Li, T.-H. (2024) "Quantile crossing spectrum and spline autoregression estimation," <doi:10.48550/arXiv.2412.02513>. [5] Li, T.-H. (2024) "Spline autoregression method for estimation of quantile spectrum," <doi:10.48550/arXiv.2412.17163>. [6] Li, T.-H., and Megiddo, N. (2025) "Spline quantile regression," <doi:10.48550/arXiv.2501.03883>.
Author: Ta-Hsin Li [cre, aut]
Maintainer: Ta-Hsin Li <thl024@outlook.com>

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Package exdqlm updated to version 0.1.4 with previous version 0.1.3 dated 2023-02-16

Title: Extended Dynamic Quantile Linear Models
Description: Routines for Bayesian estimation and analysis of dynamic quantile linear models utilizing the extended asymmetric Laplace error distribution, also known as extended dynamic quantile linear models (exDQLM) described in Barata et al (2020) <doi:10.1214/21-AOAS1497>.
Author: Raquel Barata [aut, cre], Raquel Prado [ths], Bruno Sanso [ths], Antonio Aguirre [aut]
Maintainer: Raquel Barata <raquel.a.barata@gmail.com>

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Package envDocument updated to version 2.4.2 with previous version 2.4.1 dated 2019-08-19

Title: Document the R Working Environment
Description: Prints out information about the R working environment (system, R version,loaded and attached packages and versions) from a single function "env_doc()". Optionally adds information on git repository, tags, commits and remotes (if available).
Author: Donald Jackson [aut, cre]
Maintainer: Donald Jackson <djackson2641@gmail.com>

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Package crypto2 updated to version 2.0.5 with previous version 2.0.3 dated 2024-10-11

Title: Download Crypto Currency Data from 'CoinMarketCap' without 'API'
Description: Retrieves crypto currency information and historical prices as well as information on the exchanges they are listed on. Historical data contains daily open, high, low and close values for all crypto currencies. All data is scraped from <https://coinmarketcap.com> via their 'web-api'.
Author: Sebastian Stoeckl [aut, cre] , Jesse Vent [ctb]
Maintainer: Sebastian Stoeckl <sebastian.stoeckl@uni.li>

Diff between crypto2 versions 2.0.3 dated 2024-10-11 and 2.0.5 dated 2025-09-11

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Package biblio updated to version 0.0.12 with previous version 0.0.10 dated 2024-06-07

Title: Interacting with BibTeX Databases
Description: Reading and writing BibTeX files using data frames in R sessions.
Author: Miguel Alvarez [aut, cre]
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

Diff between biblio versions 0.0.10 dated 2024-06-07 and 0.0.12 dated 2025-09-11

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