Thu, 30 Apr 2026

Package rFIA updated to version 1.1.3 with previous version 1.1.2 dated 2025-09-29

Title: Estimation of Forest Variables using the FIA Database
Description: The goal of 'rFIA' is to increase the accessibility and use of the United States Forest Services (USFS) Forest Inventory and Analysis (FIA) Database by providing a user-friendly, open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives, 'rFIA' simplifies the estimation of forest variables from the FIA Database and allows all R users (experts and newcomers alike) to unlock the flexibility inherent to the Enhanced FIA design. Specifically, 'rFIA' improves accessibility to the spatial-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages (e.g., 'dplyr', 'tidyr', and 'sf') facilitates efficient space-time query and data summary, and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold & Patterson [...truncated...]
Author: Jeffrey Doser [aut, cre], Hunter Stanke [aut], Andrew Finley [aut]
Maintainer: Jeffrey Doser <jwdoser@ncsu.edu>

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Package MixMashNet updated to version 1.0.0 with previous version 0.6.0 dated 2026-03-03

Title: Tools for Multilayer and Single Layer Network Modeling
Description: Estimation and bootstrap utilities for single layer and multilayer Mixed Graphical Models, including functions for centrality, bridge metrics, membership stability, and plotting (De Martino et al. (2026) <doi:10.48550/arXiv.2602.05716>).
Author: Maria De Martino [aut, cre], Caterina Gregorio [aut], Adrien Perigord [ctb], Hudson Golino [ctb], Jonas Haslbeck [ctb]
Maintainer: Maria De Martino <maria.demartino@uniud.it>

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Package TestGenerator updated to version 0.7.0 with previous version 0.6.0 dated 2026-04-16

Title: Integration Unit Tests for Pharmacoepidemiological Studies
Description: An R interface to load testing data in the 'OMOP' Common Data Model ('CDM'). An input file, csv or xlsx, can be converted to a 'CDMConnector' object. This object can be used to execute and test studies that use the 'CDM' <https://www.ohdsi.org/data-standardization/>.
Author: Cesar Barboza [aut] , Ioanna Nika [aut], Ger Inberg [aut, cre] , Adam Black [aut]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

Diff between TestGenerator versions 0.6.0 dated 2026-04-16 and 0.7.0 dated 2026-04-30

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Package test.assessr updated to version 2.1.0 with previous version 2.0.0 dated 2026-04-16

Title: Assessing Package Test Reliability and Quality
Description: A reliable and validated tool that calculates unit test coverage for R packages with standard testing frameworks and non-standard testing frameworks.
Author: Edward Gillian [cre, aut] , Hugo Bottois [aut] , Paulin Charliquart [aut], Andre Couturier [aut], Sanofi [cph, fnd]
Maintainer: Edward Gillian <edward.gillian-ext@sanofi.com>

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Package rts2 updated to version 1.0.2 with previous version 0.10.2 dated 2026-02-02

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>.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <s.i.watson@bham.ac.uk>

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Package qtl2convert updated to version 0.32 with previous version 0.30 dated 2024-04-04

Title: Convert Data among QTL Mapping Packages
Description: Functions to convert data structures among the 'qtl2', 'qtl', and 'DOQTL' packages for mapping quantitative trait loci (QTL).
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between qtl2convert versions 0.30 dated 2024-04-04 and 0.32 dated 2026-04-30

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Package marginme updated to version 0.1.1 with previous version 0.1.0 dated 2025-07-28

Title: Estimation of Relative Risks, Risk Differences, and Marginal Effects from Mixed Models Using Marginal Standardization
Description: Estimation of relative risks, risk differences, and partial effects from mixed model. Marginalisation over random effect terms is accomplished using Markov Chain Monte Carlo.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

Diff between marginme versions 0.1.0 dated 2025-07-28 and 0.1.1 dated 2026-04-30

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Package pam updated to version 2.2.1 with previous version 2.2.0 dated 2026-04-23

Title: Fast and Efficient Processing of PAM Data
Description: Processing Chlorophyll Fluorescence & P700 Absorbance data. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.
Author: Julien Boehm [cre, aut] , Philipp Schrag [aut]
Maintainer: Julien Boehm <julien.boehm@uni-rostock.de>

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Package omophub updated to version 1.7.0 with previous version 1.6.0 dated 2026-04-14

Title: R Client for the 'OMOPHub' Medical Vocabulary API
Description: Provides an R interface to the 'OMOPHub' API for accessing 'OHDSI ATHENA' standardized medical vocabularies. Supports concept search, semantic search using neural embeddings, concept similarity, vocabulary exploration, hierarchy navigation, relationship queries, concept mappings, and FHIR-to-OMOP concept resolution with automatic pagination.
Author: Alex Chen [aut, cre, cph], Observational Health Data Science and Informatics [cph]
Maintainer: Alex Chen <alex@omophub.com>

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Package CUSUMdesign updated to version 1.1.7 with previous version 1.1.6 dated 2026-04-20

Title: Compute Decision Interval and Average Run Length for CUSUM Charts
Description: Computation of decision intervals (H) and average run lengths (ARL) for CUSUM charts. Details of the method are seen in Hawkins and Olwell (2012): Cumulative sum charts and charting for quality improvement, Springer Science & Business Media.
Author: Douglas M. Hawkins [aut], David H. Olwell [aut], Boxiang Wang [aut, cre]
Maintainer: Boxiang Wang <boxiang-wang@uiowa.edu>

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Package BivLaplaceRL updated to version 1.0.0 with previous version 0.2.0 dated 2026-04-29

Title: Bivariate Laplace Transforms, Stochastic Orders, and Entropy Measures in Reliability
Description: Implements methods for bivariate and univariate Laplace transforms of residual lives and reversed residual lives, associated stochastic ordering concepts, and entropy measures for reliability analysis. The package covers: (1) Bivariate Laplace transform of residual lives and stochastic comparisons based on the bivariate Laplace transform order of residual lives (BLt-rl), including weak bivariate hazard rate, mean residual life, and relative mean residual life orders, nonparametric estimation, and NBUHR/NWUHR aging class characterisation; Jayalekshmi, Rajesh, and Nair (2022) "Bivariate Laplace Transform of Residual Lives and Their Properties" <doi:10.1080/03610926.2022.2085874>; (2) Bivariate Laplace transform order of reversed residual lives (BLt-Rrl), reversed hazard gradient, reversed mean residual life, and the associated stochastic orders (weak bivariate reversed hazard rate, weak bivariate reversed mean residual life); Jayalekshmi, Rajesh, and Nair (2022) "Bivariate Laplace [...truncated...]
Author: Mahesh Divakaran [aut, cre] , S. Jayalekshmi [aut, ctb] , G. Rajesh [aut] , N. Unnikrishnan Nair [aut]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>

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Package maplegend updated to version 0.6.3 with previous version 0.6.2 dated 2026-04-14

Title: Legends for Maps
Description: Create legends for maps and other graphics. Thematic maps need to be accompanied by legible legends to be fully comprehensible. This package offers a wide range of legends useful for cartography, some of which may also be useful for other types of graphics.
Author: Timothee Giraud [cre, aut]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package devianLM updated to version 1.1.0 with previous version 1.0.7 dated 2025-11-21

Title: Detecting Extremal Values in a Normal Linear Model
Description: Provides a method to detect values poorly explained by a Gaussian linear model. The procedure is based on the maximum of the absolute value of the studentized residuals, which is a parameter-free statistic. This approach generalizes several procedures used to detect abnormal values during longitudinal monitoring of biological markers. For methodological details, see: Berthelot G., Saulière G., Dedecker J. (2025). "DEViaN-LM An R Package for Detecting Abnormal Values in the Gaussian Linear Model". HAL Id: hal-05230549. <https://hal.science/hal-05230549>.
Author: Guillaume Sauliere [aut] , Geoffroy Berthelot [aut, cre] , Jerome Dedecker [aut]
Maintainer: Geoffroy Berthelot <geoffroy.berthelot@insep.fr>

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Package Cascade updated to version 2.4 with previous version 2.3 dated 2025-09-19

Title: Selection, Reverse-Engineering and Prediction in Cascade Networks
Description: A modeling tool allowing gene selection, reverse engineering, and prediction in cascade networks. Jung, N., Bertrand, F., Bahram, S., Vallat, L., and Maumy-Bertrand, M. (2014) <doi:10.1093/bioinformatics/btt705>.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut] , Laurent Vallat [ctb], Nicolas Jung [ctb]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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

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

2017-09-15 0.1.0

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Package xsp (with last version 0.1.2) was removed from CRAN

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

2017-06-08 0.1.2

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Package zic (with last version 0.9.1) was removed from CRAN

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

2017-08-22 0.9.1
2015-09-03 0.9
2013-12-08 0.8.1
2012-07-31 0.7.5
2012-04-20 0.7.0
2011-12-21 0.6.2
2010-08-25 0.5-4
2010-01-28 0.5-3
2009-10-30 0.5-2

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Package wPerm (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:

2015-11-03 1.0.1

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Package xxdi updated to version 1.26.4 with previous version 1.3.1 dated 2026-01-12

Title: An R Package for Evaluating Expertise Indices for Research Strength Assessment
Description: Institutional performance assessment remains a key challenge to a multitude of stakeholders. Existing indicators such as h-type indicators, g-type indicators, and many others do not reflect expertise of institutions that defines their research portfolio. The package offers functionality to compute and visualise two novel indices: the x-index and the xd-index. The x-index evaluates an institution's scholarly expertise within a specific discipline or field, while the xd-index provides a broader assessment of overall scholarly expertise considering an institution's publication pattern and strengths across coarse thematic areas. These indices offer a nuanced understanding of institutional research capabilities, aiding stakeholders in research management and resource allocation decisions. Lathabai, H.H., Nandy, A., and Singh, V.K. (2021) <doi:10.1007/s11192-021-04188-3>. Nandy, A., Lathabai, H.H., and Singh, V.K. (2023) <doi:10.5281/zenodo.8305585>. This package provides the h-, [...truncated...]
Author: Nilabhra R Das [cre, aut] , Abhirup Nandy [aut]
Maintainer: Nilabhra R Das <nr.das@yahoo.com>

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Package tidyllm updated to version 0.5.0 with previous version 0.4.0 dated 2026-03-17

Title: Tidy Integration of Large Language Models
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'OpenAI', 'Gemini', 'Mistral', and local models via 'Ollama' into R workflows. The package supports text, image, audio, video, and document interactions; a unified media interface for attaching inline files or uploading to provider file stores; batch request APIs for cost-efficient large-scale processing; and a pipeline-oriented interface for seamless integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://aistudio.google.com/>, <https://mistral.ai/> and <https://ollama.com>.
Author: Eduard Bruell [aut, cre], Jia Zhang [ctb]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

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Package rfm updated to version 0.4.0 with previous version 0.3.0 dated 2024-02-26

Title: Recency, Frequency and Monetary Value Analysis
Description: Tools for RFM (recency, frequency and monetary value) analysis. Generate RFM score from both transaction and customer level data. Visualize the relationship between recency, frequency and monetary value using heatmap, histograms, bar charts and scatter plots. Includes a 'shiny' app for interactive segmentation. References: i. Blattberg R.C., Kim BD., Neslin S.A (2008) <doi:10.1007/978-0-387-72579-6_12>.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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Package multiscape updated to version 1.0.7 with previous version 1.0.6 dated 2026-04-28

Title: Multi-Objective Spatial Planning
Description: Provides a modular framework for exact multi-objective spatial planning using mixed-integer programming. The package supports the definition of planning problems through planning units, features, management actions, action effects, spatial relations, targets, constraints, and objective functions. It enables the optimisation of spatial planning portfolios under considerations such as boundary structure, connectivity, and fragmentation. Supported multi-objective methods include weighted-sum aggregation, epsilon-constraint, and the augmented epsilon-constraint method. Problems can be solved with several commercial and open-source optimisation solvers. Optional solver backends include the 'gurobi' R package, which is distributed with the Gurobi Optimizer installation <https://docs.gurobi.com/projects/optimizer/en/13.0/reference/r/setup.html>, and the 'rcbc' R package, available from GitHub at <https://github.com/dirkschumacher/rcbc>. For background on multi-objective optimisati [...truncated...]
Author: Jose Salgado-Rojas [aut, cre] , Matias Moreno-Faguett [aut] , Nuria Aquilue [aut]
Maintainer: Jose Salgado-Rojas <jose.salgroj@gmail.com>

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Package kardl updated to version 1.3.1 with previous version 1.3.0 dated 2026-04-18

Title: Make Symmetric and Asymmetric ARDL Estimations
Description: Implements estimation procedures for Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, which allow researchers to investigate both short- and long-run relationships in time series data under mixed orders of integration. The package supports simultaneous modeling of symmetric and asymmetric regressors, flexible treatment of short-run and long-run asymmetries, and automated equation handling. It includes several cointegration testing approaches such as the Pesaran-Shin-Smith F and t bounds tests, and narayan test. Methodological foundations are provided in Pesaran, Shin, and Smith (2001) <doi:10.1016/S0304-4076(01)00049-5> and Shin, Yu, and Greenwood-Nimmo (2014, ISBN:9780123855079).
Author: Huseyin Karamelikli [aut, cre] , Huseyin Utku Demir [aut]
Maintainer: Huseyin Karamelikli <hakperest@gmail.com>

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Package fect updated to version 2.4.1 with previous version 2.2.0 dated 2026-03-27

Title: Fixed Effects Counterfactual Estimators
Description: Provides tools for estimating causal effects in panel data using counterfactual methods, as well as other modern DID estimators. It is designed for causal panel analysis with binary treatments under the parallel trends assumption. The package supports scenarios where treatments can switch on and off and allows for limited carryover effects. It includes several imputation estimators, such as Gsynth (Xu 2017), linear factor models, and the matrix completion method. Detailed methodology is described in Liu, Wang, and Xu (2024) <doi:10.48550/arXiv.2107.00856> and Chiu et al. (2025) <doi:10.48550/arXiv.2309.15983>. Optionally integrates with the "HonestDiDFEct" package for sensitivity analyses compatible with imputation estimators. "HonestDiDFEct" is not on CRAN but can be obtained from <https://github.com/lzy318/HonestDiDFEct>.
Author: Licheng Liu [aut], Ziyi Liu [aut], Ye Wang [aut], Yiqing Xu [aut, cre], Tianzhu Qin [aut], Shiyun Hu [aut], Rivka Lipkovitz [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package dynamicpv updated to version 0.4.2 with previous version 0.4.1 dated 2026-01-15

Title: Evaluates Present Values and Health Economic Models with Dynamic Pricing and Uptake
Description: The goal of 'dynamicpv' is to provide a simple way to calculate (net) present values and outputs from health economic models (especially cost-effectiveness and budget impact) in discrete time that reflect dynamic pricing and dynamic uptake. Dynamic pricing is also known as life cycle pricing; dynamic uptake is also known as multiple or stacked cohorts, or dynamic disease prevalence. Shafrin (2024) <doi:10.1515/fhep-2024-0014> provides an explanation of dynamic value elements, in the context of Generalized Cost Effectiveness Analysis, and Puls (2024) <doi:10.1016/j.jval.2024.03.006> reviews challenges of incorporating such dynamic value elements. This package aims to reduce those challenges.
Author: Dominic Muston [aut, cre] , John Blischak [ctb] , Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph, fnd]
Maintainer: Dominic Muston <dom.muston@gmail.com>

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Package camtrapR readmission to version 3.0.4 with previous version 3.0.3 dated 2026-02-08

Title: Camera Trap Data Management and Analysis Framework
Description: Management and analysis of camera trap wildlife data through an integrated workflow. Provides functions for image/video organization and metadata extraction, species/individual identification. Creates detection histories for occupancy and spatial capture-recapture analyses, with support for multi-season studies. Includes tools for fitting community occupancy models in JAGS and NIMBLE, and an interactive dashboard for survey data visualization and analysis. Features visualization of species distributions and activity patterns, plus export capabilities for GIS and reports. Emphasizes automation and reproducibility while maintaining flexibility for different study designs.
Author: Juergen Niedballa [aut, cre] , Alexandre Courtiol [aut] , Rahel Sollmann [aut] , John Mathai [ctb], Seth Timothy Wong [ctb] , An The Truong Nguyen [ctb] , Azlan bin Mohamed [ctb] , Andrew Tilker [ctb] , Roshan Guharajan [ctb] , Ioannis Alexiou [ctb] [...truncated...]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

This is a re-admission after prior archival of version 3.0.3 dated 2026-02-08

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Package BIGDAWG readmission to version 3.1.0 with previous version 3.0.3 dated 2021-11-17

Title: Case-Cotrol Analysis of Multi-Allelic Loci
Description: Data sets and functions for chi-squared Hardy-Weinberg and case-control association tests of highly polymorphic genetic data [e.g., human leukocyte antigen (HLA) data]. Performs association tests at multiple levels of polymorphism (haplotype, locus and HLA amino-acids) as described in Pappas DJ, Marin W, Hollenbach JA, Mack SJ (2016) <doi:10.1016/j.humimm.2015.12.006>. Combines rare variants to a common class to account for sparse cells in tables as described by Hollenbach JA, Mack SJ, Thomson G, Gourraud PA (2012) <doi:10.1007/978-1-61779-842-9_14>.
Author: Derek Pappas [aut], Livia Tran [aut], Steve Mack [aut, cre], Jill Hollenbach [aut]
Maintainer: Steve Mack <Steven.Mack@ucsf.edu>

This is a re-admission after prior archival of version 3.0.3 dated 2021-11-17

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Package altmeta updated to version 4.3.1 with previous version 4.3 dated 2025-10-13

Title: Alternative Meta-Analysis Methods
Description: Provides alternative statistical methods for meta-analysis, including: - bivariate generalized linear mixed models for synthesizing odds ratios, relative risks, and risk differences (Chu et al., 2012 <doi:10.1177/0962280210393712>) - tests and measures for between-study heterogeneity (Lin et al., 2017 <doi:10.1111/biom.12543>; Wang et al., 2022 <doi:10.1002/sim.9261>; Yu et al., 2025 <doi:10.1186/s12874-025-02719-7>); - measures, tests, and visualization tools for publication bias or small-study effects (Lin and Chu, 2018 <doi:10.1111/biom.12817>; Lin, 2019 <doi:10.1002/jrsm.1340>; Lin, 2020 <doi:10.1177/0962280220910172>; Shi et al., 2020 <doi:10.1002/jrsm.1415>); - meta-analysis of combining standardized mean differences and odds ratios (Jing et al., 2023 <doi:10.1080/10543406.2022.2105345>); - meta-analysis of diagnostic tests for synthesizing sensitivities, specificities, etc. (Reitsma et al., 2005 <doi:10.1016/j.jclinepi.200 [...truncated...]
Author: Lifeng Lin [aut, cre] , Yaqi Jing [ctb], Kristine J. Rosenberger [ctb], Linyu Shi [ctb], Yipeng Wang [ctb], Xing Xing [ctb] , Zhiyuan Yu [ctb], Haitao Chu [aut]
Maintainer: Lifeng Lin <lifenglin@arizona.edu>

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Package hydrogeo (with last version 0.6-1) was removed from CRAN

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2017-03-12 0.6-1
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2017-10-04 0.1.0

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2017-10-11 1.0

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2017-08-08 2.0
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2017-05-14 1.0

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Package pqrBayes updated to version 1.2.2 with previous version 1.2.1 dated 2026-03-14

Title: Bayesian Penalized Quantile Regression
Description: Bayesian regularized quantile regression utilizing two major classes of shrinkage priors (the spike-and-slab priors and the horseshoe family of priors) leads to efficient Bayesian shrinkage estimation, variable selection and valid statistical inference. In this package, we have implemented robust Bayesian variable selection with spike-and-slab priors under high-dimensional linear regression models (Fan et al. (2024) <doi:10.3390/e26090794> and Ren et al. (2023) <doi:10.1111/biom.13670>), and regularized quantile varying coefficient models (Zhou et al.(2023) <doi:10.1016/j.csda.2023.107808>). In particular, valid robust Bayesian inferences under both models in the presence of heavy-tailed errors can be validated on finite samples. Additional models with spike-and-slab priors include robust Bayesian group LASSO and robust binary Bayesian LASSO (Fan and Wu (2025) <doi:10.1002/sta4.70078>). Besides, robust sparse Bayesian regression with the horseshoe family of (hor [...truncated...]
Author: Kun Fan [aut], Cen Wu [aut, cre], Jie Ren [aut], Xiaoxi Li [aut], Fei Zhou [aut]
Maintainer: Cen Wu <wucen@ksu.edu>

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Package neuromapr updated to version 0.2.2 with previous version 0.2.1 dated 2026-02-27

Title: Spatial Null Models and Transforms for Brain Map Comparison
Description: Implements spatial null models and coordinate-space transformations for statistical comparison of brain maps, following the framework described in Markello et al. (2022) <doi:10.1038/s41592-022-01625-w>. Provides variogram-matching surrogates (Burt et al. 2020), Moran spectral randomization (Wagner & Dray 2015), and spin-based permutation tests (Alexander-Bloch et al. 2018). Includes an R interface to the 'neuromaps' annotation registry for browsing, downloading, and comparing brain map annotations from the Open Science Framework ('OSF'). Integrates with 'ciftiTools' for coordinate-space transforms.
Author: Athanasia Mo Mowinckel [aut, cre, cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

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Package missPLS updated to version 0.2.1 with previous version 0.2.0 dated 2026-04-13

Title: Methods and Reproducible Workflows for Partial Least Squares with Missing Data
Description: Methods-first tooling for reproducing and extending the partial least squares regression studies on incomplete data described in Nengsih et al. (2019) <doi:10.1515/sagmb-2018-0059>. The package provides simulation helpers, missingness generators, imputation wrappers, component-selection utilities, real-data diagnostics, and reproducible study orchestration for Nonlinear Iterative Partial Least Squares (NIPALS)-Partial Least Squares (PLS) workflows.
Author: Titin Agustin Nengsih [aut], Frederic Bertrand [aut, cre], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package GreedyExperimentalDesign updated to version 1.6.1 with previous version 1.6 dated 2026-01-09

Title: Greedy Experimental Design Construction
Description: Computes experimental designs for two-arm experiments with covariates using multiple methods, including: (0) complete randomization and randomization with forced-balance; (1) greedy optimization of a balance objective function via pairwise switching; (2) numerical optimization via 'gurobi'; (3) rerandomization; (4) Karp's method for one covariate; (5) exhaustive enumeration for small sample sizes; (6) binary pair matching using 'nbpMatching'; (7) binary pair matching plus method (1) to further optimize balance; (8) binary pair matching plus method (3) to further optimize balance; (9) Hadamard designs; and (10) simultaneous multiple kernels. For the greedy, rerandomization, and related methods, three objective functions are supported: Mahalanobis distance, standardized sums of absolute differences, and kernel distances via the 'kernlab' library. This package is the result of a stream of research that can be found in Krieger, A. M., Azriel, D. A., and Kapelner, A. (2019). "Nearly Random [...truncated...]
Author: Adam Kapelner [aut, cre] , David Azriel [aut], Abba Krieger [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

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Package devtools updated to version 2.5.2 with previous version 2.5.1 dated 2026-04-16

Title: Tools to Make Developing R Packages Easier
Description: Collection of package development tools.
Author: Hadley Wickham [aut], Jim Hester [aut], Winston Chang [aut], Jennifer Bryan [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

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Package brainGraph updated to version 3.1.2 with previous version 3.1.1 dated 2025-10-16

Title: Graph Theory Analysis of Brain MRI Data
Description: A set of tools for performing graph theory analysis of brain MRI data. It works with data from a Freesurfer analysis (cortical thickness, volumes, local gyrification index, surface area), diffusion tensor tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from DPABI). It contains a graphical user interface for graph visualization and data exploration, along with several functions for generating useful figures.
Author: Christopher G. Watson [aut, cre]
Maintainer: Christopher G. Watson <cgwatson@bu.edu>

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Package BIEN updated to version 1.2.8 with previous version 1.2.7 dated 2025-01-31

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

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Package sensobol updated to version 1.1.9 with previous version 1.1.8 dated 2026-04-05

Title: Computation of Variance-Based Sensitivity Indices
Description: It allows to rapidly compute, bootstrap and plot up to fourth-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol' indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of the package can be found in Puy et al. (2022) <doi:10.18637/jss.v102.i05>.
Author: Arnald Puy [aut, cre] , Bertrand Ioos [ctb] , Gilles Pujol [ctb] , RStudio [cph]
Maintainer: Arnald Puy <arnald.puy@pm.me>

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Package modsem updated to version 1.0.19 with previous version 1.0.18 dated 2026-03-28

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A., & Moosb [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package KRLS updated to version 1.1-0 with previous version 1.0-0 dated 2017-07-10

Title: Kernel-Based Regularized Least Squares
Description: Implements Kernel-based Regularized Least Squares (KRLS), a machine learning method to fit multidimensional functions y = f(x) for regression and classification problems without relying on linearity or additivity assumptions. KRLS finds the best fitting function by minimizing the squared loss of a Tikhonov regularization problem, using Gaussian kernels as radial basis functions. For further details see Hainmueller and Hazlett (2014, <doi:10.1093/pan/mpt019>).
Author: Jens Hainmueller [aut, cre], Chad Hazlett [aut]
Maintainer: Jens Hainmueller <jhain@stanford.edu>

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Package fabletools updated to version 0.7.0 with previous version 0.6.1 dated 2026-02-16

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut], Earo Wang [aut] , Di Cook [ctb], George Athanasopoulos [ctb], David Holt [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package EFAtools updated to version 0.7.0 with previous version 0.6.1 dated 2025-07-30

Title: Fast and Flexible Implementations of Exploratory Factor Analysis Tools
Description: Provides functions to perform exploratory factor analysis (EFA) procedures and compare their solutions. The goal is to provide state-of-the-art factor retention methods and a high degree of flexibility in the EFA procedures. This way, for example, implementations from R 'psych' and 'SPSS' can be compared. Moreover, functions for Schmid-Leiman transformation and the computation of omegas are provided. To speed up the analyses, some of the iterative procedures, like principal axis factoring (PAF), are implemented in C++.
Author: Markus Steiner [aut, cre], Silvia Grieder [aut], William Revelle [ctb], Max Auerswald [ctb], Morten Moshagen [ctb], John Ruscio [ctb], Brendan Roche [ctb], Urbano Lorenzo-Seva [ctb], David Navarro-Gonzalez [ctb], Johan Braeken [ctb], Andreas Soteriad [...truncated...]
Maintainer: Markus Steiner <markus.d.steiner@gmail.com>

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Package Directional updated to version 7.5 with previous version 7.4 dated 2026-03-11

Title: A Collection of Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include: a) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2018). "An elliptically symmetric angular Gaussian distribution". Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). "Comparison of discriminant analysis methods on the sphere". Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2020). "Spherical regression models with general covariates and anisotropic errors". Statistics and Computing 30(1): 153--165. <doi:10.1007/s11222-019-09872 [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Christos Adam [aut], Zehao Yu [aut], Anamul Sajib [ctb], Eli Amson [ctb], Micah J. Waldstein [ctb], Panagiotis Papastamoulis [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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 R/spher.kent.contour.R     |   65 ++++++++++++++++++------------
 R/spher.mixvmf.contour.R   |   64 +++++++++++++++++-------------
 R/spher.pkbd.contour.R     |   57 ++++++++++++++++++---------
 R/spher.purka.contour.R    |   65 ++++++++++++++++++------------
 R/spher.sespc.contour.R    |   69 +++++++++++++++++++-------------
 R/spher.spcauchy.contour.R |   59 +++++++++++++++------------
 R/spher.vmf.contour.R      |   59 +++++++++++++++------------
 man/Directional-package.Rd |    4 -
 man/dsespc.Rd              |    3 -
 man/sespc.mle.Rd           |    2 
 man/spml.mle.Rd            |   11 ++++-
 man/spml.reg.Rd            |   13 ++++--
 man/vmf.mle.Rd             |    3 -
 18 files changed, 366 insertions(+), 250 deletions(-)

More information about Directional at CRAN
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Package aqp updated to version 2.3.2 with previous version 2.3.1 dated 2026-03-20

Title: Algorithms for Quantitative Pedology
Description: The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks <doi:10.1016/j.cageo.2012.10.020>. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb <https://casoilresource.lawr.ucdavis.edu/soilweb-apps>. Components of the AQP project (aqp, soilD [...truncated...]
Author: Dylan Beaudette [aut, cre] , Pierre Roudier [aut, ctb], Andrew Brown [aut, ctb], Stephen Roecker [aut, ctb], David Rossiter [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

Diff between aqp versions 2.3.1 dated 2026-03-20 and 2.3.2 dated 2026-04-30

 DESCRIPTION                                                 |    6 
 MD5                                                         |   73 ++++++------
 NAMESPACE                                                   |    1 
 NEWS.md                                                     |   12 +
 R/AAAA.R                                                    |    5 
 R/colorChart.R                                              |    2 
 R/colorContrast.R                                           |   27 ++++
 R/colorVariation.R                                          |    9 -
 R/contrastChart.R                                           |    2 
 R/equivalentMunsellChips.R                                  |    8 -
 R/estimateSoilColor.R                                       |   50 +++++---
 R/formatMunsell.R                                           |only
 R/launderMunsell.R                                          |   57 +++++++--
 R/mixMunsell.R                                              |    2 
 R/simulateColor.R                                           |    2 
 R/soilColorIndices.R                                        |    2 
 R/soilColorSignature.R                                      |    2 
 R/validateMunsell.R                                         |    2 
 data/munsell.rda                                            |binary
 data/munsell.spectra.rda                                    |binary
 data/munsell.spectra.wide.rda                               |binary
 inst/doc/Introduction-to-SoilProfileCollection-Objects.html |   68 +++++------
 inst/doc/Munsell-color-conversion.R                         |    4 
 inst/doc/Munsell-color-conversion.Rmd                       |   13 +-
 inst/doc/Munsell-color-conversion.html                      |   16 +-
 inst/doc/label-placement.html                               |   12 -
 man/colorChart.Rd                                           |    2 
 man/equivalentMunsellChips.Rd                               |    2 
 man/formatMunsell.Rd                                        |only
 man/horizonColorIndices.Rd                                  |    2 
 man/launderMunsell.Rd                                       |   38 +++++-
 man/soilColorSignature.Rd                                   |    2 
 man/validateMunsell.Rd                                      |    2 
 tests/testthat/Rplots.pdf                                   |binary
 tests/testthat/test-color-conversion.R                      |   28 ++--
 tests/testthat/test-color-signature.R                       |    6 
 tests/testthat/test-formatMunsell.R                         |only
 tests/testthat/test-spec2Munsell.R                          |    2 
 vignettes/Munsell-color-conversion.Rmd                      |   13 +-
 39 files changed, 309 insertions(+), 163 deletions(-)

More information about aqp at CRAN
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