Thu, 16 Apr 2026

Package timeperiodsR updated to version 0.7.5 with previous version 0.7.3 dated 2024-01-23

Title: Simple Definition Of Time Intervals
Description: Simple definition of time intervals for the current, previous, and next week, month, quarter and year.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package RALSA updated to version 1.6.6 with previous version 1.6.5 dated 2026-03-17

Title: R Analyzer for Large-Scale Assessments
Description: Download, prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 <doi:10.3102/0013189X10363170>). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types will increase in future. For a general presentation of the package, see 'Mirazchiyski', 2021a (<doi:10.1186/s40536-021-00114-4>). For detailed technical aspects of the package, see 'Mirazchiyski', 2021b (< [...truncated...]
Author: Plamen V. Mirazchiyski [aut, cre]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski@gmail.com>

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Package multinma updated to version 0.9.1 with previous version 0.9.0 dated 2026-04-13

Title: Bayesian Network Meta-Analysis of Individual and Aggregate Data
Description: Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using 'Stan'.
Author: David M. Phillippo [aut, cre] , Samuel J. Perren [ctb] , Niels Dunnewind [ctb]
Maintainer: David M. Phillippo <david.phillippo@bristol.ac.uk>

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Package RColetum updated to version 1.0.0 with previous version 0.2.2 dated 2022-10-20

Title: Access your Coletum's Data from API
Description: Get your data (forms, structures, answers) from Coletum <https://coletum.com> to handle and analyse.
Author: Andre Smaniotto [aut, cre], Marcelo Magnani [aut], Rodrigo Sant'Ana [aut], GeoSapiens [cph, fnd]
Maintainer: Andre Smaniotto <smaniotto@geosapiens.com.br>

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Package KeyboardSimulator (with last version 2.6.2) was removed from CRAN

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

2023-09-13 2.6.2
2023-08-20 2.6.1
2021-01-13 2.6.0
2020-07-10 2.5.1
2020-04-14 2.5.0
2020-03-30 2.2.0
2020-03-22 2.1.1
2019-01-10 2.1.0
2019-01-02 2.0
2019-01-02 2.0.1
2018-08-20 1.0

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Package taskscheduleR (with last version 1.8) was removed from CRAN

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2023-07-02 1.8
2023-02-01 1.7
2022-03-16 1.6
2021-04-16 1.5
2018-10-24 1.4
2018-09-01 1.2
2017-11-16 1.1
2017-03-03 1.0

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Package R2PPT (with last version 2.2.0) was removed from CRAN

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

2022-04-26 2.2.0
2012-08-23 2.1

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

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2015-03-11 1.0.1
2015-03-10 1.0

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Package BiplotGUI (with last version 0.0-12) was removed from CRAN

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2024-11-08 0.0-12
2013-03-19 0.0-7
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Package MDSGUI (with last version 0.1.6) was removed from CRAN

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2014-10-19 0.1.6
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Package RWinEdt (with last version 2.0-6) was removed from CRAN

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2017-01-05 2.0-6
2015-07-29 2.0-5
2015-06-17 2.0-4
2015-05-31 2.0-3
2013-11-17 2.0-2
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Package excel.link (with last version 0.9.15) was removed from CRAN

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2025-02-12 0.9.15
2024-07-07 0.9.13
2024-01-17 0.9.12
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Package RDesk (with last version 1.0.4) was removed from CRAN

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2026-03-31 1.0.4

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Package spectrino (with last version 2.0.0) was removed from CRAN

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2019-06-03 2.0.0
2015-07-27 1.6.0

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Package rFUSION (with last version 0.1) was removed from CRAN

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2021-03-17 0.1

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

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2020-11-26 0.2.1
2020-11-24 0.2.0
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Package R2wd (with last version 1.5) was removed from CRAN

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2012-08-23 1.5

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Package traumar updated to version 1.2.5 with previous version 1.2.4 dated 2026-02-05

Title: Calculate Metrics for Trauma System Performance
Description: Hospitals, hospital systems, and even trauma systems that provide care to injured patients may not be aware of robust metrics that can help gauge the efficacy of their programs in saving the lives of injured patients. 'traumar' provides robust functions driven by the academic literature to automate the calculation of relevant metrics to individuals desiring to measure the performance of their trauma center or even a trauma system. 'traumar' also provides some helper functions for the data analysis journey. Users can refer to the following publications for descriptions of the methods used in 'traumar'. TRISS methodology, including probability of survival, and the W, M, and Z Scores - Flora (1978) <doi:10.1097/00005373-197810000-00003>, Boyd et al. (1987, PMID:3106646), Llullaku et al. (2009) <doi:10.1186/1749-7922-4-2>, Singh et al. (2011) <doi:10.4103/0974-2700.86626>, Baker et al. (1974, PMID:4814394), and Champion et al. (1989) <doi:10.1097/00005373-198905000- [...truncated...]
Author: Nicolas Foss [aut, cre], Iowa Department of Health and Human Services [cph]
Maintainer: Nicolas Foss <nicolas.foss@hhs.iowa.gov>

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Package slideimp updated to version 1.0.0 with previous version 0.5.4 dated 2026-01-07

Title: Numeric Matrices K-NN and PCA Imputation
Description: Fast k-nearest neighbors (K-NN) and principal component analysis (PCA) imputation algorithms for missing values in high-dimensional numeric matrices, i.e., epigenetic data. For extremely high-dimensional data with ordered features, a sliding window approach for K-NN or PCA imputation is provided. Additional features include group-wise imputation (e.g., by chromosome), hyperparameter tuning with repeated cross-validation, multi-core parallelization, and optional subset imputation. The K-NN algorithm is described in: Hastie, T., Tibshirani, R., Sherlock, G., Eisen, M., Brown, P. and Botstein, D. (1999) "Imputing Missing Data for Gene Expression Arrays". The PCA imputation is an optimized version of the imputePCA() function from the 'missMDA' package described in: Josse, J. and Husson, F. (2016) <doi:10.18637/jss.v070.i01> "missMDA: A Package for Handling Missing Values in Multivariate Data Analysis".
Author: Hung Pham [aut, cre, cph]
Maintainer: Hung Pham <amser.hoanghung@gmail.com>

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New package swcEcon with initial version 0.1.0
Package: swcEcon
Title: Economic Analysis of Soil and Water Conservation Measures in Watersheds
Version: 0.1.0
Description: Provides functions and benchmark datasets for the economic appraisal of soil and water conservation (SWC) measures in watershed development projects. Implements benefit-cost ratio (BCR), net present value (NPV), internal rate of return (IRR) via the bisection method of Brent (1973, ISBN:9780130223715), modified BCR, marginal rate of return using the CIMMYT (1988, ISBN:9686127127) method, payback period, soil loss economic valuation via the Universal Soil Loss Equation of Wischmeier and Smith (1978, ISBN:0160016258), groundwater recharge valuation, employment generation ratio, sensitivity analysis, switching value analysis, and Monte Carlo simulation. Six datasets are included: state-wise BCR benchmarks from NABARD (2019) watershed evaluations, USLE erodibility parameters for Indian soil orders from NBSS and LUP, rainfall erosivity for twenty Indian districts from IMD data, SWC unit cost norms from PMKSY-WDC (GoI 2015), and two hypothetical datasets for illustration. Methods follow Gitt [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, graphics, grDevices, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-13 05:18:42 UTC; acer
Author: Sadikul Islam [aut, cre]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-16 20:10:02 UTC

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Package PhenotypeR updated to version 0.4.0 with previous version 0.3.4 dated 2026-03-25

Title: Assess Study Cohorts Using a Common Data Model
Description: Phenotype study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model. Diagnostics are run at the database, code list, cohort, and population level to assess whether study cohorts are ready for research.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Xihang Chen [aut] , Marta Alcalde-Herraiz [aut] , Nuria Mercade-Besora [aut] , Albert Prats-Uribe [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package ieTest updated to version 2.1 with previous version 2.0 dated 2025-04-02

Title: Indirect Effects Testing Methods in Mediation Analysis
Description: Used in testing if the indirect effect from linear regression mediation analysis is equal to 0. Includes established methods such as the Sobel Test, Joint Significant test (maxP), and tests based off the distribution of the Product or Normal Random Variables. Additionally, this package adds more powerful tests based on Intersection-Union theory. These tests are the S-Test, the ps-test, and the ascending squares test. These new methods are uniformly more powerful than maxP, which is more powerful than Sobel and less anti-conservative than the Product of Normal Random Variables. These methods are explored by Kidd and Lin, (2024) <doi:10.1007/s12561-023-09386-6> and Kidd et al., (2025) <doi:10.1007/s10260-024-00777-7>.
Author: John Kidd [aut, cre]
Maintainer: John Kidd <jkidd@uvu.edu>

Diff between ieTest versions 2.0 dated 2025-04-02 and 2.1 dated 2026-04-16

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Package ICEHmeasures updated to version 1.1.0 with previous version 1.0.1 dated 2026-03-11

Title: The Equiplot Graph and Complex Inequality Measures
Description: Generates the equiplot, an iconic dot-plot graph for visualizing inequalities, as well as three complex inequality measures: the slope index of inequality, the concentration index and the mean absolute difference to the mean. For more details see World Health Organization (2013) <https://www.who.int/docs/default-source/gho-documents/health-equity/handbook-on-health-inequality-monitoring/handbook-on-health-inequality-monitoring.pdf>.
Author: Leonardo Ferreira [aut, cre], Luisa Arroyave [aut]
Maintainer: Leonardo Ferreira <lferreira@equidade.org>

Diff between ICEHmeasures versions 1.0.1 dated 2026-03-11 and 1.1.0 dated 2026-04-16

 DESCRIPTION  |    6 +++---
 MD5          |    8 ++++----
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Package vsp updated to version 0.1.4 with previous version 0.1.3 dated 2025-08-20

Title: Vintage Sparse PCA for Semi-Parametric Factor Analysis
Description: Provides fast spectral estimation of latent factors in random dot product graphs using the vsp estimator. Under mild assumptions, the vsp estimator is consistent for (degree-corrected) stochastic blockmodels, (degree-corrected) mixed-membership stochastic blockmodels, and degree-corrected overlapping stochastic blockmodels.
Author: Karl Rohe [aut], Muzhe Zeng [aut], Alex Hayes [aut, cre, cph] , Fan Chen [aut]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

Diff between vsp versions 0.1.3 dated 2025-08-20 and 0.1.4 dated 2026-04-16

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New package laOpenData with initial version 0.1.0
Package: laOpenData
Title: Convenient Access to Los Angeles Open Data API Endpoints
Version: 0.1.0
Description: Provides simple, reproducible access to datasets from the Los Angeles Open Data portal <https://data.lacity.org/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, jsonlite, httr, janitor, rlang
Suggests: curl, knitr, ggplot2, rmarkdown, testthat (>= 3.0.0), tidyr, vcr (>= 0.6.0), webmockr
URL: https://martinezc1.github.io/laOpenData/, https://github.com/martinezc1/laOpenData
BugReports: https://github.com/martinezc1/laOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-04-13 00:23:48 UTC; christianmartinez
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-16 19:40:08 UTC

More information about laOpenData at CRAN
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Package ggseg updated to version 2.1.1 with previous version 2.1.0 dated 2026-04-03

Title: Plotting Tool for Brain Atlases
Description: Provides a 'ggplot2' geom and position for visualizing brain region data on cortical, subcortical, and white matter tract atlases. Brain atlas geometries are stored as simple features ('sf'), enabling seamless integration with the 'ggplot2' ecosystem including faceting, custom scales, and themes. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.
Author: Athanasia Mo Mowinckel [aut, cre, cph] , Didac Vidal-Pineiro [aut, cph] , Ramiro Magno [aut] , Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway [cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

Diff between ggseg versions 2.1.0 dated 2026-04-03 and 2.1.1 dated 2026-04-16

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New package digiNORM with initial version 0.1.0
Package: digiNORM
Title: Data-Driven Digital PCR Normalization
Version: 0.1.0
Description: Adopts the general least squares-based data-driven normalization strategy developed by Heckmann et al. (2011) <doi:10.1186/1471-2105-12-250> to correct for technical variance in gene expression data generated via digital polymerase chain reaction (dPCR). Performs normalization of raw copy numbers and also calculates relative variability metrics that can be used to assess the impact of normalization on variance.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: utils
Suggests: testthat (>= 3.0.0)
Author: Grant C. O'Connell [aut, cre]
Maintainer: Grant C. O'Connell <goconnell.phd@gmail.com>
Repository: CRAN
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-04-12 21:37:04 UTC; gco6
Date/Publication: 2026-04-16 19:40:13 UTC

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New package DecisionDrift with initial version 0.1.0
Package: DecisionDrift
Title: Detecting, Decomposing, and Stress-Testing Temporal Change in Repeated Decision Systems
Version: 0.1.0
Description: Tools for detecting, decomposing, and stress-testing temporal drift in repeated binary decision systems. Complements the 'decisionpaths' package by shifting focus from path construction to system-level change over time. Implements five core analytic modules: (1) prevalence drift — did the overall decision rate change over time?; (2) transition drift — did the probability of switching or persisting change?; (3) entropy and stability trends — did path complexity evolve?; (4) group-differential drift — did the system drift differently across subgroups?; (5) change-point and regime-shift detection — did the system change abruptly after a policy or model update? Additionally provides a robustness module for testing stability of drift conclusions across analytic choices, and a sensitivity module for probing vulnerability to data problems including missingness, miscoding, and threshold shifts. Defines four original drift indices: the Decision Drift Index (DDI), Transition Drift Index (TDI), G [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: cli (>= 3.0.0), rlang (>= 0.4.0), stats, tibble (>= 3.0.0)
Suggests: decisionpaths, ggplot2 (>= 3.3.0), knitr, patchwork, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/DecisionDrift
BugReports: https://github.com/causalfragility-lab/DecisionDrift/issues
NeedsCompilation: no
Packaged: 2026-04-12 22:03:02 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-16 19:42:19 UTC

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New package statAPA with initial version 0.1.0
Package: statAPA
Title: APA 7th Edition Statistical Tables, Plots, and Multilevel Model Reports
Version: 0.1.0
Description: Produces publication-ready statistical tables and figures formatted according to the 7th edition of the American Psychological Association (APA) style guidelines. Supports descriptive statistics, t-tests, z-tests, chi-square tests, Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA), two-way ANOVA with simple effects, Multivariate Analysis of Variance (MANOVA), robust and cluster-robust regression using Heteroscedasticity-Consistent (HC) standard errors, post-hoc pairwise comparisons, homoskedasticity and heteroscedasticity diagnostics including the Non-Constant Variance (NCV) test, proportion tests, and multilevel mixed-effects models with intraclass correlation coefficients (ICC) and model-comparison tables. Output can be directed to the console, Microsoft Word (via 'officer' and 'flextable'), or LaTeX. For APA style guidelines see American Psychological Association (2020, ISBN:978-1-4338-3216-1).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, utils, ggplot2 (>= 3.4.0), rlang, emmeans (>= 1.8.0), lme4 (>= 1.1-30), lmtest (>= 0.9-40), sandwich (>= 3.0-0), car (>= 3.1-0), officer (>= 0.6.0), flextable (>= 0.9.0)
Suggests: lmerTest (>= 3.1-3), MuMIn (>= 1.47.0), ggeffects (>= 1.3.0), knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/statAPA
BugReports: https://github.com/causalfragility-lab/statAPA/issues
NeedsCompilation: no
Packaged: 2026-04-11 19:19:11 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-16 18:30:02 UTC

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New package roroph with initial version 0.1.1
Package: roroph
Title: Philippine Roll-on/Roll-Off (RoRo) Connectivity and Transport Data
Version: 0.1.1
Description: Provides the first standardized dataset of the Philippines' Roll-on/Roll-off (RoRo) shipping network, reflecting the 2024-2026 operational state. It digitizes fragmented records from the Maritime Industry Authority (MARINA) and Philippine Ports Authority (PPA) into a unified framework for transport modeling. The package includes 108 bidirectional provincial links across the Western, Central, and Eastern Nautical Highways, complete with GADM-standardized naming, geospatial coordinates, and metrics such as distance, travel time, and vessel frequency. Methodology follows Anselin (1988, ISBN:9024737354) and LeSage and Pace (2009) <doi:10.1201/9781420064254> for spatial weight construction. Data sources include "MARINA Inventory of RoRo Routes" <https://marina.gov.ph> and "PPA Port Statistics" <https://www.ppa.com.ph/ppa_statistics>. Designed to support research in economic geography and disaster-response logistics.
License: MIT + file LICENSE
URL: https://github.com/njtalingting/roroph
BugReports: https://github.com/njtalingting/roroph/issues
Depends: R (>= 3.5.0)
Imports: ArchipelagoEngine, dplyr, ggplot2, sf, spdep
Suggests: knitr, rmarkdown, rnaturalearth, rnaturalearthdata, ggrepel, ggspatial
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-PH
NeedsCompilation: no
Packaged: 2026-04-09 17:16:41 UTC; Nino Jay Talingting
Author: NJ Talingting [aut, cre]
Maintainer: NJ Talingting <ninotalingting77@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-16 18:20:02 UTC

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Package pressuRe updated to version 0.2.7 with previous version 0.2.5 dated 2025-02-20

Title: Imports, Processes, and Visualizes Biomechanical Pressure Data
Description: Allows biomechanical pressure data from a range of systems to be imported and processed in a reproducible manner. Automatic and manual tools are included to let the user define regions (masks) to be analyzed. Also includes functions for visualizing and animating pressure data. Example methods are described in Shi et al., (2022) <doi:10.1038/s41598-022-19814-0>, Lee et al., (2014) <doi:10.1186/1757-1146-7-18>, van der Zward et al., (2014) <doi:10.1186/1757-1146-7-20>, Najafi et al., (2010) <doi:10.1016/j.gaitpost.2009.09.003>, Cavanagh and Rodgers (1987) <doi:10.1016/0021-9290(87)90255-7>.
Author: Scott Telfer [aut, cre, cph] , Ellen Li [aut]
Maintainer: Scott Telfer <scott.telfer@gmail.com>

Diff between pressuRe versions 0.2.5 dated 2025-02-20 and 0.2.7 dated 2026-04-16

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New package netmem with initial version 1.0-3
Package: netmem
Version: 1.0-3
Date: 2026-04-01
Depends: R (>= 4.0.0)
Imports: igraph, Matrix, stats
Suggests: knitr, rmarkdown, covr, testthat, usethis, styler
Title: Social Network Measures using Matrices
Maintainer: Alejandro Espinosa-Rada <anespinosa@uc.cl>
Description: Provides measures to describe and manipulate one-mode, two-mode, multiplex, and multilevel networks using matrix algebra. Implements functions for network centrality, cohesive subgroups, structural holes, similarity measures, path distances, signed networks, and random network generation. Supports ego-centric and whole-network analyses, including dyadic and triadic census, structural balance, and bipartite projections. Key references: Bonacich (1972) <doi:10.1080/0022250X.1972.9989806>, Breiger (1974) <doi:10.2307/2576011>, Kivelä et al. (2014) <doi:10.1093/comnet/cnu016>, Espinosa-Rada et al. (2024) <doi:10.1016/j.socnet.2023.11.008>.
License: GPL-3
Encoding: UTF-8
Language: en-US
URL: https://github.com/anespinosa/netmem, https://anespinosa.github.io/netmem/
BugReports: https://github.com/anespinosa/netmem/issues
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-11 14:50:28 UTC; alejandroespinosa
Author: Alejandro Espinosa-Rada [cre, aut]
Repository: CRAN
Date/Publication: 2026-04-16 18:20:11 UTC

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Package mrf readmission to version 0.1.9 with previous version 0.1.6 dated 2022-02-23

Title: Multiresolution Forecasting
Description: Forecasting of univariate time series using feature extraction with variable prediction methods is provided. Feature extraction is done with a redundant Haar wavelet transform with filter h = (0.5, 0.5). The advantage of the approach compared to typical Fourier based methods is an dynamic adaptation to varying seasonalities. Currently implemented prediction methods based on the selected wavelets levels and scales are a regression and a multi-layer perceptron. Forecasts can be computed for horizon 1 or higher. Model selection is performed with an evolutionary optimization. Selection criteria are currently the AIC criterion, the Mean Absolute Error or the Mean Root Error. The data is split into three parts for model selection: Training, test, and evaluation dataset. The training data is for computing the weights of a parameter set. The test data is for choosing the best parameter set. The evaluation data is for assessing the forecast performance of the best parameter set on new data unkn [...truncated...]
Author: Quirin Stier [aut, cre, ctb] , Michael Thrun [ths, cph, rev, fnd, ctb]
Maintainer: Quirin Stier <research@quirin-stier.de>

This is a re-admission after prior archival of version 0.1.6 dated 2022-02-23

Diff between mrf versions 0.1.6 dated 2022-02-23 and 0.1.9 dated 2026-04-16

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More information about mrf at CRAN
Permanent link

New package linreg with initial version 0.1.0
Package: linreg
Title: Linear Regression and Model Selection Framework
Version: 0.1.0
Author: Dr. Pramit Pandit [aut, cre], Dr. Bikramjeet Ghose [aut], Dr. Chiranjit Mazumder [aut]
Maintainer: Dr. Pramit Pandit <pramitpandit@gmail.com>
Description: Provides a comprehensive framework for linear regression modeling and associated statistical analysis. The package implements methods for correlation analysis, including computation of correlation matrices with corresponding significance levels and visualization via correlation heatmaps. It supports estimation of multiple linear regression models, along with automated model selection through backward elimination procedures based on statistical significance criteria. In addition, the package offers a suite of diagnostic tools to assess key assumptions of linear regression, including multicollinearity using variance inflation factors, heteroscedasticity using the Goldfeld-Quandt test, and normality of residuals using the Shapiro-Wilk test. These functionalities, as described in Draper and Smith (1998) <doi:10.1002/9781118625590>, are designed to facilitate robust model building, evaluation, and interpretation in applied statistical and data analytical contexts.
License: GPL-3
Encoding: UTF-8
Imports: stats, Hmisc, corrplot, car, lmtest
NeedsCompilation: no
Packaged: 2026-04-11 14:05:51 UTC; prami
Repository: CRAN
Date/Publication: 2026-04-16 18:20:18 UTC

More information about linreg at CRAN
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New package gleam with initial version 0.8.0
Package: gleam
Title: Global Livestock Environmental Assessment Model (GLEAM-X)
Version: 0.8.0
Description: The official implementation of the Global Livestock Environmental Assessment Model (GLEAM) of the Food and Agriculture Organization of the United Nations (FAO) in R. GLEAM-X provides a modular, transparent framework for simulating livestock production systems and quantifying their environmental impacts. Methodological background: MacLeod et al. (2017) "Invited review: A position on the Global Livestock Environmental Assessment Model (GLEAM)" <doi:10.1017/S1751731117001847>. Further information: <https://www.fao.org/gleam/en/>.
License: AGPL-3
URL: https://github.com/un-fao/GLEAM/, https://www.fao.org/gleam/en/
BugReports: https://github.com/un-fao/GLEAM/issues
Encoding: UTF-8
Imports: cli (>= 3.0.0), data.table (>= 1.16.0)
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
VignetteBuilder: knitr
Depends: R (>= 4.4.0)
NeedsCompilation: no
Packaged: 2026-04-11 15:10:06 UTC; ahmed
Author: Ahmed Jou [aut, cre] , Yassine Elaouni [aut] , Dominik Wisser [aut] , Lydia Lanzoni [aut] , Giuseppe Tempio [aut] , Phyllis Ndungu' [ctb] , Yushan Li [ctb] , Manling Xu [ctb] , Zixin Wang [ctb] , Narindra Rakotovao [ctb] , Stewart Chikoloma [ctb] , D [...truncated...]
Maintainer: Ahmed Jou <ahmed@applitics.fr>
Repository: CRAN
Date/Publication: 2026-04-16 18:30:08 UTC

More information about gleam at CRAN
Permanent link

Package neuroim2 updated to version 0.13.0 with previous version 0.8.5 dated 2026-01-14

Title: Data Structures for Brain Imaging Data
Description: A collection of data structures and methods for handling volumetric brain imaging data, with a focus on functional magnetic resonance imaging (fMRI). Provides efficient representations for three-dimensional and four-dimensional neuroimaging data through sparse and dense array implementations, memory-mapped file access for large datasets, and spatial transformation capabilities. Implements methods for image resampling, spatial filtering, region of interest analysis, and connected component labeling. General introduction to fMRI analysis can be found in Poldrack et al. (2024, "Handbook of functional MRI data analysis", <ISBN:9781108795760>).
Author: Bradley R Buchsbaum [aut, cre, cph]
Maintainer: Bradley R Buchsbaum <brad.buchsbaum@gmail.com>

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Package geneticae updated to version 1.0.0 with previous version 0.4.0 dated 2022-07-20

Title: Statistical Tools for the Analysis of Multi Environment Agronomic Trials
Description: Data from multi environment agronomic trials, which are often carried out by plant breeders, can be analyzed with the tools offered by this package such as the Additive Main effects and Multiplicative Interaction model or 'AMMI' ('Gauch' 1992, ISBN:9780444892409) and the Site Regression model or 'SREG' ('Cornelius' 1996, <doi:10.1201/9780367802226>). Since these methods present a poor performance under the presence of outliers and missing values, this package includes robust versions of the 'AMMI' model ('Rodrigues' 2016, <doi:10.1093/bioinformatics/btv533>), and also imputation techniques specifically developed for this kind of data ('Arciniegas-Alarcón' 2014, <doi:10.2478/bile-2014-0006>).
Author: Julia Angelini [aut, cre] , Marcos Prunello [aut] , Gerardo Cervigni [aut]
Maintainer: Julia Angelini <jangelini_93@hotmail.com>

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Package devtools updated to version 2.5.1 with previous version 2.5.0 dated 2026-03-14

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 TestGenerator updated to version 0.6.0 with previous version 0.5.0 dated 2026-01-14

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>

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Package fairmetrics updated to version 1.0.8 with previous version 1.0.7 dated 2025-10-06

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 (2025) <doi:10.1002/sim.70234>.
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 rgoogleads updated to version 0.14.1 with previous version 0.13.3 dated 2025-09-03

Title: Loading Data from 'Google Ads API'
Description: Interface for loading data from 'Google Ads API', see <https://developers.google.com/google-ads/api/docs/start>. Package provide function for authorization and loading reports.
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package test.assessr updated to version 2.0.0 with previous version 1.1.1 dated 2026-03-02

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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New package llm.api with initial version 0.1.1
Package: llm.api
Title: Minimal LLM Chat Interface
Version: 0.1.1
Description: A minimal-dependency client for Large Language Model chat APIs. Supports 'OpenAI' <https://github.com/openai>, 'Anthropic' 'Claude' <https://claude.com/>, 'Moonshot' 'Kimi' <https://www.moonshot.ai/>, 'Ollama' <https://ollama.com/>, and other 'OpenAI'-compatible endpoints. Includes an agent loop with tool use and a 'Model Context Protocol' client <https://modelcontextprotocol.io/>. API design is derived from the 'ellmer' package, reimplemented with only base R, 'curl', and 'jsonlite'.
License: MIT + file LICENSE
URL: https://github.com/cornball-ai/llm.api
BugReports: https://github.com/cornball-ai/llm.api/issues
Encoding: UTF-8
Imports: curl, jsonlite
Suggests: tinytest
NeedsCompilation: no
Packaged: 2026-04-11 01:53:52 UTC; troy
Author: Troy Hernandez [aut, cre] , ellmer team [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-04-16 11:00:02 UTC

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New package xiacf with initial version 0.4.0
Package: xiacf
Title: Quantifying Nonlinear Dependence and Lead-Lag Dynamics via Chatterjee's Xi
Version: 0.4.0
Maintainer: Yasunori Watanabe <watanabe.yasunori@outlook.com>
Description: Computes Chatterjee's non-parametric correlation coefficient for time series data. It extends the original metric to time series analysis by providing the Xi-Autocorrelation Function (Xi-ACF) and Xi-Cross-Correlation Function (Xi-CCF). The package allows users to test for non-linear dependence using Iterative Amplitude Adjusted Fourier Transform (IAAFT) surrogate data. Main functions include xi_acf() and xi_ccf() for computation, along with matrix extraction tools. Methodologies are based on Chatterjee (2021) <doi:10.1080/01621459.2020.1758115> and surrogate data testing methods by Schreiber and Schmitz (1996) <doi:10.1103/PhysRevLett.77.635>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.1.4), doFuture, foreach, future, ggplot2 (>= 4.0.1), latex2exp, progressr, Rcpp (>= 1.1.0), stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.3.2)
NeedsCompilation: yes
Packaged: 2026-04-10 18:54:56 UTC; yasunori
Author: Yasunori Watanabe [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-16 10:40:02 UTC

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New package SamsaRaLight with initial version 1.0.0
Package: SamsaRaLight
Title: Simulate Tree Light Transmission Using Ray-Tracing
Version: 1.0.0
Description: Provides tools to simulate light transmission in forest stands using three-dimensional ray-tracing. The package allows users to build virtual stands from tree inventories and to estimate (1) light intercepted by individual trees, (2) light reaching the forest floor, and (3) light at virtual sensors. The package is designed for ecological and forestry applications, including the analysis of light competition, tree growth, and forest regeneration. The implementation builds on the individual-based ray-tracing model SamsaraLight developed by Courbaud et al. (2003) <doi:10.1016/S0168-1923(02)00254-X>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: concaveman, data.table, dplyr, ggforce, ggnewscale, ggplot2, grid, httr, patchwork, Rcpp, RhpcBLASctl, scales, sf, sfheaders, tidyr
LinkingTo: Rcpp
LazyData: true
Suggests: cowplot, knitr, purrr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://natheob.github.io/SamsaRaLight/
BugReports: https://github.com/natheob/SamsaRaLight/issues/
NeedsCompilation: yes
Packaged: 2026-04-10 13:03:26 UTC; Nathéo Beauchamp
Author: Natheo Beauchamp [aut, cre] , Gauthier Ligot [aut] , Francois de Coligny [aut] , Maxime Jaunatre [aut] , Benoit Courbaud [aut, cph]
Maintainer: Natheo Beauchamp <beauchamp.natheo@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-16 10:12:16 UTC

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New package rquiz with initial version 1.0.0
Package: rquiz
Title: Interactive Quizzes as HTML Widgets
Version: 1.0.0
Description: Creates interactive JavaScript-based quizzes as 'HTML' widgets. Offers three quiz types: a single question with instant feedback (singleQuestion()), a multi-question quiz with navigation, timer, and results (multiQuestions()), and fill-in-the-blank cloze exercises (fillBlanks()). All quizzes auto-detect single-choice and multiple-choice modes from the input data, support customizable styling, keyboard navigation, and multilingual UI (English, German, French, Spanish). Designed for use in 'R Markdown', 'Quarto', and 'Shiny' applications. The singleQuestion() quiz design was inspired by Ozzie Kirkby <https://codepen.io/ozzie/pen/pvrVLm>. The multiQuestions() quiz design was inspired by Abhilash Narayan <https://codepen.io/abhilashn/pen/BRepQz>.
URL: https://github.com/saskiaotto/rquiz, https://saskiaotto.github.io/rquiz/
BugReports: https://github.com/saskiaotto/rquiz/issues
VignetteBuilder: knitr
License: MIT + file LICENSE
Language: en-US
Depends: R (>= 4.1.0)
Imports: htmlwidgets (>= 1.5.0), jsonlite (>= 1.7.0)
Suggests: knitr, rmarkdown, shiny, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-10 16:34:49 UTC; saskiaotto
Author: Saskia Otto [aut, cre]
Maintainer: Saskia Otto <saskia.a.otto@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-16 10:20:03 UTC

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New package rqualify with initial version 1.0.2
Package: rqualify
Title: Qualification of R Software Installations
Version: 1.0.2
Description: Qualify R software installations using R Markdown as the foundation for the Installation Qualification (IQ) and Operational Qualification (OQ) when used in environments (such as regulated clinical trials) where such processes may be required.
License: GPL-2
URL: https://github.com/Medtronic-Biostatistics/rqualify, https://medtronic-biostatistics.github.io/rqualify/
BugReports: https://github.com/Medtronic-Biostatistics/rqualify/issues
Depends: R (>= 4.4.0)
Imports: pandoc, rmarkdown, tinytex
Suggests: knitr, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-10 13:38:49 UTC; musgrd1
Author: Donnie Musgrove [aut, cre], Graeme L. Hickey [aut] , Marc Schwartz [aut] , Medtronic Inc. [cph]
Maintainer: Donnie Musgrove <donniemusgrove@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-16 10:10:02 UTC

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Package miniCRAN updated to version 0.3.2 with previous version 0.3.1 dated 2025-04-23

Title: Create a Mini Version of CRAN Containing Only Selected Packages
Description: Makes it possible to create an internally consistent repository consisting of selected packages from CRAN-like repositories. The user specifies a set of desired packages, and 'miniCRAN' recursively reads the dependency tree for these packages, then downloads only this subset. The user can then install packages from this repository directly, rather than from CRAN. This is useful in production settings, e.g. server behind a firewall, or remote locations with slow (or zero) Internet access.
Author: Andrie de Vries [aut, cre, cph], Alex Chubaty [ctb], Microsoft Corporation [cph]
Maintainer: Andrie de Vries <apdevries@gmail.com>

Diff between miniCRAN versions 0.3.1 dated 2025-04-23 and 0.3.2 dated 2026-04-16

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New package hlmLab with initial version 0.1.0
Package: hlmLab
Title: Hierarchical Linear Modeling with Visualization and Decomposition
Version: 0.1.0
Description: Provides functions for visualization and decomposition in hierarchical linear models (HLM) for applications in education, psychology, and the social sciences. Includes variance decomposition for two-level and three-level data structures following Snijders and Bosker (2012, ISBN:9781849202015), intraclass correlation (ICC) estimation and design effect computation as described in Shrout and Fleiss (1979) <doi:10.1037/0033-2909.86.2.420>, and contextual effect decomposition via the Mundlak (1978) <doi:10.2307/1913646> specification distinguishing within- and between-cluster components. Supports visualization of random slopes and cross-level interactions following Hofmann and Gavin (1998) <doi:10.1177/014920639802400504> and Hamaker and Muthen (2020) <doi:10.1037/met0000239>. Multilevel models are estimated using 'lme4' (Bates et al., 2015 <doi:10.18637/jss.v067.i01>). An optional 'Shiny' application enables interactive exploration of model components and para [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2 (>= 3.4.0), lme4, scales, stats
Suggests: shiny, spelling, testthat (>= 3.0.0)
URL: https://github.com/causalfragility-lab/hlmLab
BugReports: https://github.com/causalfragility-lab/hlmLab/issues
NeedsCompilation: no
Packaged: 2026-04-10 20:02:12 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-16 10:50:02 UTC

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New package carsAlgo with initial version 0.5.0
Package: carsAlgo
Title: Competitive Adaptive Reweighted Sampling (CARS) Algorithm
Version: 0.5.0
Maintainer: Md. Ashraful Haque <ashrafulhaque664@gmail.com>
Description: Implements Competitive Adaptive Reweighted Sampling (CARS) algorithm for variable selection from high-dimensional dataset using Partial Least Squares (PLS) regression models. CARS algorithm iteratively applies the Monte Carlo sub-sampling and exponential variable elimination techniques to identify/select the most informative variables/features subjected to minimal cross-validated RMSE score. The implementation of CARS algorithm is inspired from the work of Li et al. (2009) <doi:10.1016/j.aca.2009.06.046>. This algorithm is widely applied in near-infrared (NIR), mid-infrared (MIR), hyperspectral chemometrics areas, etc.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, pls, rlang, stats, utils
URL: https://github.com/mah-iasri/carsAlgo
BugReports: https://github.com/mah-iasri/carsAlgo/issues
NeedsCompilation: no
Packaged: 2026-04-10 13:44:44 UTC; Ashraful
Author: Md. Ashraful Haque [aut, cre], Avijit Ghosh [aut], Sayantani Karmakar [aut], Harsh Sachan [aut], Shalini Kumari [aut]
Repository: CRAN
Date/Publication: 2026-04-16 10:12:11 UTC

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Package bayesRecon updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-07

Title: Probabilistic Reconciliation via Conditioning
Description: Provides methods for probabilistic reconciliation of hierarchical forecasts of time series. The available methods include analytical Gaussian reconciliation (Corani et al., 2021) <doi:10.1007/978-3-030-67664-3_13>, MCMC reconciliation of count time series (Corani et al., 2024) <doi:10.1016/j.ijforecast.2023.04.003>, Bottom-Up Importance Sampling (Zambon et al., 2024) <doi:10.1007/s11222-023-10343-y>, methods for the reconciliation of mixed hierarchies (Mix-Cond and TD-cond) (Zambon et al., 2024) <https://proceedings.mlr.press/v244/zambon24a.html>, analytical reconciliation with Bayesian treatment of the covariance matrix (Carrara et al., 2025) <doi: 10.48550/arXiv.2506.19554>.
Author: Dario Azzimonti [aut, cre] , Lorenzo Zambon [aut] , Stefano Damato [aut] , Nicolo Rubattu [aut] , Giorgio Corani [aut]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

Diff between bayesRecon versions 1.0.0 dated 2026-03-07 and 1.0.1 dated 2026-04-16

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 bayesRecon-1.0.1/bayesRecon/NEWS.md                                                                          |   12 
 bayesRecon-1.0.1/bayesRecon/R/PMF.R                                                                          |    7 
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 bayesRecon-1.0.1/bayesRecon/R/reconc_TDcond.R                                                                |    2 
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New package spmixW with initial version 0.2.2
Package: spmixW
Title: Bayesian Spatial Panel Data Models with Convex Combinations of Weight Matrices
Version: 0.2.2
Description: Bayesian Markov chain Monte Carlo (MCMC) estimation of spatial panel data models including Spatial Autoregressive (SAR), Spatial Durbin Model (SDM), Spatial Error Model (SEM), Spatial Durbin Error Model (SDEM), and Spatial Lag of X (SLX) specifications with fixed effects. Supports convex combinations of multiple spatial weight matrices and Bayesian Model Averaging (BMA) over subsets of weight matrices. Implements the convex combination spatial weight matrix methodology of Debarsy and LeSage (2021) <doi:10.1080/07350015.2020.1840993> and the Bayesian spatial panel data models of LeSage and Pace (2009, ISBN:9781420064247).
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: Matrix, MASS, coda
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spdep, sf, ggplot2, broom
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-09 18:17:38 UTC; musta
Author: Mustapha Wasseja Mohammed [aut, cre]
Maintainer: Mustapha Wasseja Mohammed <muswaseja@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-16 09:20:02 UTC

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New package RobustMediate with initial version 0.1.1
Package: RobustMediate
Title: Causal Mediation Analysis with Diagnostics and Sensitivity Analysis
Version: 0.1.1
Description: Provides tools for causal mediation analysis with continuous treatments using inverse probability weighting (IPW). Estimates natural direct and indirect effects over a user-defined treatment grid and supports flexible dose-response mediation analysis. Includes diagnostic procedures for assessing covariate balance in both treatment and mediator models using standardized mean differences. Implements pathway-specific extensions of the impact threshold for a confounding variable (ITCV; Frank, 2000 <doi:10.1177/0049124100029002001>) adapted to mediation settings. Provides joint sensitivity analysis combining E-values (VanderWeele and Ding, 2017 <doi:10.7326/M16-2607>) and violations of sequential ignorability (Imai, Keele, and Yamamoto, 2010 <doi:10.1214/10-STS321>). Additional utilities include visualization of dose-response mediation functions, robustness profiles, fragility summaries, and formatted outputs for applied research. Supports clustered data structures and mul [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/causalfragility-lab/RobustMediate
BugReports: https://github.com/causalfragility-lab/RobustMediate/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: cli, ggplot2 (>= 3.4.0), rlang, scales, stats, broom
Suggests: covr, dplyr, knitr, lme4, pkgdown, rmarkdown, splines, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-09 16:50:37 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-16 09:12:11 UTC

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New package munch with initial version 0.0.2
Package: munch
Title: Rich Inline Text for 'grid' Graphics and 'flextable'
Version: 0.0.2
Description: Renders rich inline text (bold, italic, code, links, images) in grid graphics and 'ggplot2', from markdown or 'flextable' chunks. Provides grobs, theme elements, and geometry layers for styled text rendering. Only works with graphics devices that support 'systemfonts', such as those provided by 'ragg', 'svglite', or 'ggiraph'. The 'cairo_pdf' device is also supported when fonts are installed at the system level.
License: MIT + file LICENSE
URL: https://ardata-fr.github.io/munch/
BugReports: https://github.com/ardata-fr/munch/issues
Imports: cli, commonmark, flextable, patchwork, gdtools, ggplot2, grid, methods, systemfonts, xml2
Suggests: doconv, ggiraph, knitr, magick, ragg, rmarkdown, rsvg, svglite, testthat (>= 3.0.0), withr
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-09 09:48:14 UTC; davidgohel
Author: David Gohel [aut, cre], ArData [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>
Repository: CRAN
Date/Publication: 2026-04-16 09:10:02 UTC

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New package GWnorm with initial version 1.0
Package: GWnorm
Title: G-Wishart Normalising Constants for Gaussian Graphical Models
Version: 1.0
Date: 2026-03-26
Author: Ching Wong [aut], Jack Kuipers [aut, cre]
Maintainer: Jack Kuipers <jack.kuipers@bsse.ethz.ch>
Description: Computes G-Wishart normalising constants through a Fourier approach. Either exact analytical results, numerical integration or Monte Carlo estimation are employed. Details at C. Wong, G. Moffa and J. Kuipers (2024), <doi:10.48550/arXiv.2404.06803>.
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: igraph, BDgraph, CholWishart, MASS, mvtnorm, Rcpp (>= 1.1.1)
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-04-10 09:22:10 UTC; jkuipers
Repository: CRAN
Date/Publication: 2026-04-16 09:42:03 UTC

More information about GWnorm at CRAN
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New package glm4 with initial version 0.1.0
Package: glm4
Title: Fitting Generalized Linear Models Using Sparse Matrices
Version: 0.1.0
Description: Fits Generalised Linear Models (GLMs) with sparse and dense 'Matrix' matrices for memory efficiency. Acts as a wrapper for the glm4() function in the 'MatrixModels' package <doi:10.32614/CRAN.package.MatrixModels>, but adds convenient model methods and functions designed to mimic those associated with the glm() function from the 'stats' package.
URL: https://github.com/awhug/glm4/issues
BugReports: https://github.com/awhug/glm4/issues
License: GPL (>= 2)
Encoding: UTF-8
Imports: methods, Matrix, MatrixModels, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-09 23:40:09 UTC; angus
Author: Angus Hughes [aut, cre, cph]
Maintainer: Angus Hughes <angus-hughes+glm4@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-16 09:30:02 UTC

More information about glm4 at CRAN
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New package CohortContrast with initial version 1.0.0
Package: CohortContrast
Title: Enrichment Analysis of Clinically Relevant Concepts in Common Data Model Cohort Data
Version: 1.0.0
Maintainer: Markus Haug <markus.haug@ut.ee>
Description: Identifies clinically relevant concepts in Observational Medical Outcomes Partnership Common Data Model cohorts using an enrichment-based workflow. Defines target and control cohorts and extracts medical interventions that are over-represented in the target cohort during the observation period. Users can tune filtering and selection thresholds. The workflow includes chi-squared tests for two proportions with Yates continuity correction, logistic tests, and hierarchy and correlation mappings for relevant concepts. The results can be optionally explored using the bundled graphical user interface. For workflow details and examples, see <https://healthinformaticsut.github.io/CohortContrast/>.
License: Apache License 2.0
Encoding: UTF-8
SystemRequirements: Python (>= 3.8)
Imports: dplyr (>= 1.0.4), tibble, purrr, tidyr (>= 1.0.0), stringr, stats, utils, CDMConnector (>= 2.0.0), CohortConstructor (>= 0.6.0), omopgenerics (>= 1.3.0), lubridate (>= 1.9.0), doParallel, parallel, foreach, data.table (>= 1.14.0), cli, jsonlite (>= 1.8.0), nanoparquet (>= 0.4.0)
Suggests: testthat (>= 3.0.0), PatientProfiles (>= 1.1.0), duckdb, DBI (>= 1.2.0), RPostgres, readr, knitr, rmarkdown, processx, bit64, reshape2, igraph, Matrix, cluster, vegan, reticulate (>= 1.26)
URL: https://healthinformaticsut.github.io/CohortContrast/
BugReports: https://github.com/HealthInformaticsUT/CohortContrast/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-09 14:28:29 UTC; markushaug
Author: Markus Haug [aut, cre] , Raivo Kolde [aut]
Repository: CRAN
Date/Publication: 2026-04-16 09:12:17 UTC

More information about CohortContrast at CRAN
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New package chiOpenData with initial version 0.1.0
Package: chiOpenData
Title: Convenient Access to Chicago Open Data API Endpoints
Version: 0.1.0
Description: Provides simple, reproducible access to datasets from the Chicago Open Data portal <https://data.cityofchicago.org/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, jsonlite, httr, janitor, rlang
Suggests: curl, knitr, ggplot2
URL: https://martinezc1.github.io/chiOpenData/, https://github.com/martinezc1/chiOpenData
BugReports: https://github.com/martinezc1/chiOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-04-09 17:56:05 UTC; christianmartinez
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-16 09:22:11 UTC

More information about chiOpenData at CRAN
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New package APS with initial version 1.0.1
Package: APS
Title: Analysing Prediction Stability of Non-Deterministic Prediction Models
Version: 1.0.1
Maintainer: Thomas Martin Lange <thomas.lange@uni-goettingen.de>
Description: Provides methods to analyse the stability of non-deterministic prediction models. Prediction stability is quantified either as data-based prediction stability (phi) or as model-based prediction stability (psi). The package implements measures for categorical, ordinal, and metric predictions based on repeated model fitting and corresponding predictions. Methods are based on Lange et al. (2025) <doi:10.1186/s12859-025-06097-1>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: stats
Suggests: ranger, covr, rmarkdown, spelling, testthat
NeedsCompilation: no
Packaged: 2026-04-09 12:25:10 UTC; thoma
Author: Thomas Martin Lange [cre, aut] , Felix Heinrich [ctb]
LazyData: true
Repository: CRAN
Date/Publication: 2026-04-16 09:02:07 UTC

More information about APS at CRAN
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New package senatebR with initial version 0.1.0
Package: senatebR
Title: Collect Data from the Brazilian Federal Senate Open Data API
Version: 0.1.0
Description: Provides functions to access and collect data from the Brazilian Federal Senate open data API and website. Covers senators, legislative materials, committees, voting records, speeches, provisional measures, vetoes, and legislative agendas, returning results as tidy data frames ready for analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: glue (>= 1.6.2), lubridate (>= 1.9.3), jsonlite (>= 1.8.8), xml2 (>= 1.3.6), magrittr (>= 2.0.3), httr (>= 1.4.7), rvest (>= 1.0.0), dplyr (>= 1.1.2), tidyr (>= 1.3.0), purrr (>= 1.0.2), stringr (>= 1.5.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr, ggplot2
VignetteBuilder: knitr
URL: https://github.com/vsntos/senatebR
BugReports: https://github.com/vsntos/senatebR/issues
NeedsCompilation: no
Packaged: 2026-04-08 21:56:22 UTC; viniciussantos
Author: Vinicius Santos [aut, cre]
Maintainer: Vinicius Santos <santos.vinicius18@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-16 08:40:02 UTC

More information about senatebR at CRAN
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New package nowcastr with initial version 0.2.0
Version: 0.2.0
Package: nowcastr
Title: Nowcasting with Chain-Ladder Method
Description: Tools for performing nowcasting using the Chain-Ladder method <https://en.wikipedia.org/wiki/Chain-ladder_method>. It supports both non-cumulative delay-based estimation and model-based completeness fitting (e.g., using logistic or Gompertz curves) to predict final counts from partially reported data.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: S7, rlang, magrittr, dplyr, tidyr, stats, purrr, ggplot2, scales, cli
Depends: R (>= 4.1.0)
Suggests: ISOweek, testthat (>= 3.0.0), quarto, shiny, bslib, DT
VignetteBuilder: quarto
URL: https://github.com/whocov/nowcastr, https://whocov.github.io/nowcastr/
BugReports: https://github.com/whocov/nowcastr/issues
NeedsCompilation: no
Packaged: 2026-04-09 07:33:29 UTC; mleroy
Author: Mathias Leroy [aut, cre], Finlay Campbell [aut]
Maintainer: Mathias Leroy <mathias.leroy.rpkg@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-16 08:30:02 UTC

More information about nowcastr at CRAN
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New package emBALVI with initial version 0.1.0
Package: emBALVI
Title: EM Bayesian Adaptive LASSO Variational Inference Based GWAS
Version: 0.1.0
Description: Performs Genome-Wide Association Study (GWAS) analysis using Expectation-Maximization Bayesian Adaptive LASSO with Variational Inference (emBALVI). Includes genotype preprocessing, genomic relationship matrix construction, GWAS analysis, Manhattan and QQ plotting.s.
Depends: R (>= 4.0)
Imports: ggplot2, RColorBrewer
Suggests: rmarkdown, testthat (>= 3.0.0), roxygen2
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-09 09:49:46 UTC; iasri
Author: Prakash Kumar [aut, cre], Himadri Sekhar Roy [aut], Ranjit Kumar Paul [aut], Md. Yeasin [aut], Neeraj Budhlakoti [aut], Sunil Kumar Yadav [aut], Amrit Kumar Paul [aut]
Maintainer: Prakash Kumar <prakash289111@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-16 08:30:08 UTC

More information about emBALVI at CRAN
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Package salso updated to version 0.3.78 with previous version 0.3.77 dated 2026-04-12

Title: Search Algorithms and Loss Functions for Bayesian Clustering
Description: The SALSO algorithm is an efficient randomized greedy search method to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. The algorithm is implemented for many loss functions, including the Binder loss and a generalization of the variation of information loss, both of which allow for unequal weights on the two types of clustering mistakes. Efficient implementations are also provided for Monte Carlo estimation of the posterior expected loss of a given clustering estimate. See Dahl, Johnson, Müller (2022) <doi:10.1080/10618600.2022.2069779>.
Author: David B. Dahl [aut, cre] , Devin J. Johnson [aut] , Peter Mueller [aut], Andres Felipe Barrientos [aut], Garritt Page [aut], David Dunson [aut], Authors of the dependency Rust crates [ctb]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between salso versions 0.3.77 dated 2026-04-12 and 0.3.78 dated 2026-04-16

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Package salmonMSE updated to version 2.0.0 with previous version 1.0.0 dated 2026-03-20

Title: Management Strategy Evaluation for Salmon Species
Description: Simulation tools to evaluate the long-term effects of salmon management strategies, including a combination of habitat, harvest, and habitat actions. The stochastic age-structured operating model accommodates complex life histories, including freshwater survival across early life stages, juvenile survival and fishery exploitation in the marine life stage, partial maturity by age class, and fitness impacts of hatchery programs on natural spawning populations. 'salmonMSE' also provides an age-structured conditioning model to develop operating models fitted to data.
Author: Quang Huynh [aut, cre]
Maintainer: Quang Huynh <quang@bluematterscience.com>

Diff between salmonMSE versions 1.0.0 dated 2026-03-20 and 2.0.0 dated 2026-04-16

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Package rockchalk updated to version 1.8.164 with previous version 1.8.157 dated 2022-08-06

Title: Regression Estimation and Presentation
Description: A collection of functions for interpretation and presentation of regression analysis. These functions are used to produce the statistics lectures in <https://pj.freefaculty.org/guides/>. Includes regression diagnostics, regression tables, and plots of interactions and "moderator" variables. The emphasis is on "mean-centered" and "residual-centered" predictors. The vignette 'rockchalk' offers a fairly comprehensive overview. The vignette 'Rstyle' has advice about coding in R. The package title 'rockchalk' refers to our school motto, 'Rock Chalk Jayhawk, Go K.U.'.
Author: Paul E. Johnson [aut, cre], Gabor Grothendieck [ctb], Dimitri Papadopoulos OrfanosGabor [ctb]
Maintainer: Paul E. Johnson <pauljohn32@freefaculty.org>

Diff between rockchalk versions 1.8.157 dated 2022-08-06 and 1.8.164 dated 2026-04-16

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Package renv updated to version 1.2.2 with previous version 1.2.1 dated 2026-04-12

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.2.1 dated 2026-04-12 and 1.2.2 dated 2026-04-16

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Package ReliaGrowR updated to version 0.6 with previous version 0.4 dated 2026-03-31

Title: Reliability Growth Analysis and Repairable Systems Modeling
Description: Modeling and plotting functions for Reliability Growth Analysis (RGA) and Non-Homogeneous Poisson Process (NHPP) models for repairable systems. RGA models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, NHPP by Crow (1975) (No. AMSAATR138), Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the 'segmented' package by Muggeo (2024) <https://cran.r-project.org/package=segmented>. Repairable systems functions include the Mean Cumulative Function (MCF) using the Nelson-Aalen estimator, parametric Power Law and Log-Linear NHPP models, and forecasting.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package phylospatial updated to version 1.4.0 with previous version 1.3.0 dated 2026-04-03

Title: Spatial Phylogenetic Analysis
Description: Analyze spatial phylogenetic diversity patterns. Use your data on an evolutionary tree and geographic distributions of the terminal taxa to compute diversity and endemism metrics, test significance with null model randomization, analyze community turnover and biotic regionalization, and perform spatial conservation prioritizations. All functions support quantitative community data in addition to binary data.
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>

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Package MultiSpline updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-16

Title: Spline-Based Nonlinear Modeling for Multilevel and Longitudinal Data
Description: Provides a unified framework for fitting, predicting, and interpreting nonlinear relationships in single-level, multilevel, and longitudinal regression models. Flexible functional forms are supported using natural cubic splines ('splines'), B-splines ('splines'), and GAM smooths ('mgcv'). Supports two-way and nested clustering via 'lme4', automatic knot selection by AIC or BIC, multilevel R-squared decomposition (Nakagawa-Schielzeth marginal and conditional R-squared with level-specific variance partitioning), a postestimation suite returning first and second derivatives with confidence bands, turning points and inflection regions, and a model comparison workflow contrasting linear, polynomial, and spline fits by AIC, BIC, and likelihood-ratio tests. Cluster heterogeneity in nonlinear effects is supported via random-slope spline terms.
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>

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Package motmot readmission to version 2.1.4 with previous version 2.1.3 dated 2019-11-25

Title: Models of Trait Macroevolution on Trees
Description: Functions for fitting models of trait evolution on phylogenies for continuous traits. The majority of functions are described in Thomas and Freckleton (2012) <doi:10.1111/j.2041-210X.2011.00132.x> and allow tests of variation in the rates of trait evolution.
Author: Mark Puttick [aut, cph] , Gavin Thomas [aut, cph], Rob Freckleton [aut, cph], Magnus Clarke [ctb], Travis Ingram [ctb], David Orme [ctb], Emmanuel Paradis [ctb], Martin R. Smith [ctb, cre]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

This is a re-admission after prior archival of version 2.1.3 dated 2019-11-25

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Package BREADR updated to version 1.1.0 with previous version 1.0.3 dated 2025-04-14

Title: Estimates Degrees of Relatedness (Up to the Second Degree) for Extreme Low-Coverage Data
Description: The goal of the package is to provide an easy-to-use method for estimating degrees of relatedness (up to the second degree) for extreme low-coverage data. The package also allows users to quantify and visualise the level of confidence in the estimated degrees of relatedness.
Author: Jono Tuke [aut, cre] , Adam B. Rohrlach [aut] , Wolfgang Haak [aut] , Divyaratan Popli [aut]
Maintainer: Jono Tuke <simon.tuke@adelaide.edu.au>

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Package blatent updated to version 0.1.3 with previous version 0.1.2 dated 2023-12-08

Title: Bayesian Latent Variable Models
Description: Estimation of latent variable models using Bayesian methods. Currently estimates the loglinear cognitive diagnosis model of Henson, Templin, and Willse (2009) <doi:10.1007/s11336-008-9089-5>.
Author: Jonathan Templin [aut, cre]
Maintainer: Jonathan Templin <jtempli@clemson.edu>

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Package biogeom updated to version 1.5.1 with previous version 1.5.0 dated 2025-08-24

Title: Biological Geometries
Description: Is used to simulate and fit biological geometries. 'biogeom' incorporates several novel universal parametric equations that can generate the profiles of bird eggs, flowers, linear and lanceolate leaves, seeds, starfish, and tree-rings (Gielis (2003) <doi:10.3732/ajb.90.3.333>; Shi et al. (2020) <doi:10.3390/sym12040645>), three growth-rate curves representing the ontogenetic growth trajectories of animals and plants against time, and the axially symmetrical and integral forms of all these functions (Shi et al. (2017) <doi:10.1016/j.ecolmodel.2017.01.012>; Shi et al. (2021) <doi:10.3390/sym13081524>). The optimization method proposed by Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308> was used to estimate model parameters. 'biogeom' includes several real data sets of the boundary coordinates of natural shapes, including avian eggs, fruit, lanceolate and ovate leaves, tree rings, seeds, and sea stars,and can be potentially applied to other natural shapes. [...truncated...]
Author: Peijian Shi [aut, cre], Johan Gielis [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>

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Package LobsterCatch (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:

2023-06-19 0.1.0

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Package leidenAlg updated to version 1.1.7 with previous version 1.1.6-1 dated 2026-04-15

Title: Implements the Leiden Algorithm via an R Interface
Description: An R interface to the Leiden algorithm, an iterative community detection algorithm on networks. The algorithm is designed to converge to a partition in which all subsets of all communities are locally optimally assigned, yielding communities guaranteed to be connected. The implementation proves to be fast, scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The original implementation was constructed as a python interface "leidenalg" found here: <https://github.com/vtraag/leidenalg>. The algorithm was originally described in Traag, V.A., Waltman, L. & van Eck, N.J. "From Louvain to Leiden: guaranteeing well-connected communities". Sci Rep 9, 5233 (2019) <doi:10.1038/s41598-019-41695-z>.
Author: Peter Kharchenko [aut], Viktor Petukhov [aut], Yichen Wang [aut], V.A. Traag [ctb], Gabor Csardi [ctb], Tamas Nepusz [ctb], Minh Van Nguyen [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

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Package engression updated to version 0.1.6 with previous version 0.1.5 dated 2026-01-07

Title: Engression Modelling
Description: Fits engression models for nonlinear distributional regression. Predictors and targets can be univariate or multivariate. Functionality includes estimation of conditional mean, estimation of conditional quantiles, or sampling from the fitted distribution. Training is done full-batch on CPU (the python version offers GPU-accelerated stochastic gradient descent). Based on "Engression: Extrapolation through the lens of distributional regression" by Xinwei Shen and Nicolai Meinshausen (2024) in JRSSB. Also supports classification (experimental). <doi:10.1093/jrsssb/qkae108>.
Author: Xinwei Shen [aut], Nicolai Meinshausen [aut, cre]
Maintainer: Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>

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Package countrycode updated to version 1.8.0 with previous version 1.7.0 dated 2026-02-27

Title: Convert Country Names and Country Codes
Description: Standardize country names, convert them into one of 40 different coding schemes, convert between coding schemes, and assign region descriptors.
Author: Vincent Arel-Bundock [aut, cre] , CJ Yetman [ctb] , Nils Enevoldsen [ctb] , Etienne Bacher [ctb] , Samuel Meichtry [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Wed, 15 Apr 2026

Package qvirus updated to version 0.0.6 with previous version 0.0.5 dated 2025-11-09

Title: Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy
Description: Resources, tutorials, and code snippets dedicated to exploring the intersection of quantum computing and artificial intelligence (AI) in the context of analyzing Cluster of Differentiation 4 (CD4) lymphocytes and optimizing antiretroviral therapy (ART) for human immunodeficiency virus (HIV). With the emergence of quantum artificial intelligence and the development of small-scale quantum computers, there's an unprecedented opportunity to revolutionize the understanding of HIV dynamics and treatment strategies. This project leverages a quantum computer simulator, to explore these applications in quantum computing techniques, addressing the challenges in studying CD4 lymphocytes and enhancing ART efficacy.
Author: Juan Pablo Acuna Gonzalez [aut, cre, cph]
Maintainer: Juan Pablo Acuna Gonzalez <22253567@uagro.mx>

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Package optconerrf updated to version 1.0.2 with previous version 1.0.1 dated 2025-09-29

Title: Optimal Monotone Conditional Error Functions
Description: Design and analysis of confirmatory adaptive clinical trials using the optimal conditional error framework according to Brannath and Bauer (2004) <doi:10.1111/j.0006-341X.2004.00221.x>. An extension to the optimal conditional error function using interim estimates as described in Brannath and Dreher (2024) <doi:10.48550/arXiv.2402.00814> and functions to ensure that the resulting conditional error function is non-increasing are also available.
Author: Morten Dreher [aut, cre], Werner Brannath [aut, cph] , Cornelia Ursula Kunz [ctb] , Johanna zur Verth [aut]
Maintainer: Morten Dreher <morten.dreher@outlook.de>

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Package NMADTA updated to version 0.1.3 with previous version 0.1.2 dated 2026-01-14

Title: Network Meta-Analysis of Multiple Diagnostic Tests
Description: Provides statistical methods for network meta-analysis of diagnostic tests to simultaneously compare multiple tests within a missing data framework, including: - Bayesian hierarchical model for network meta-analysis of multiple diagnostic tests (Ma, Lian, Chu, Ibrahim, and Chen (2018) <doi:10.1093/biostatistics/kxx025>) - Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests (Lian, Hodges, and Chu (2019) <doi:10.1080/01621459.2018.1476239>).
Author: Xing Xing [aut, cre] , Boyang Lu [aut], Lifeng Lin [aut], Qinshu Lian [aut], James S. Hodges [aut], Yong Chen [aut], Haitao Chu [aut]
Maintainer: Xing Xing <xxing8@jh.edu>

Diff between NMADTA versions 0.1.2 dated 2026-01-14 and 0.1.3 dated 2026-04-15

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Package S4Vectors (with last version 0.49.1-1) was removed from CRAN

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

2026-04-15 0.49.1-1

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Package ShortRead (with last version 1.69.3-2) was removed from CRAN

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

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Package LEdecomp updated to version 1.0.14 with previous version 1.0.4 dated 2025-11-11

Title: Decompose Life Expectancy by Age (and Cause)
Description: A set of all-cause and cause-specific life expectancy sensitivity and decomposition methods, including Arriaga (1984) <doi:10.2307/2061029>, others documented by Ponnapalli (2005) <doi:10.4054/DemRes.2005.12.7>, lifetable, numerical, and other analytic or algorithmic approaches such as Horiuchi et al (2008) <doi:10.1353/dem.0.0033>, or Andreev et al (2002) <doi:10.4054/DemRes.2002.7.14>.
Author: Tim Riffe [aut, cre] , David Atance [aut] , Josep Lledo [aut]
Maintainer: Tim Riffe <tim.riffe@gmail.com>

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Package cols updated to version 1.7 with previous version 1.6 dated 2026-03-24

Title: Constrained Ordinary Least Squares
Description: Constrained ordinary least squares is performed. One constraint is that all beta coefficients (including the constant) cannot be negative. They can be either 0 or strictly positive. Another constraint is that the sum of the beta coefficients equals a constant. References: Hansen, B. E. (2022). Econometrics, Princeton University Press. <ISBN:9780691235899>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package spatialCatalogueViewer updated to version 0.2.1 with previous version 0.2.0 dated 2026-02-25

Title: A 'Shiny' Tool to Create Interactive Catalogues for Geospatial Data
Description: Seamlessly create interactive online catalogues for geospatial data. Items can be mapped as points or areas and retrieved using either a map or a dynamic table with search form and optional column filters.
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

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Package switchSelection updated to version 2.1.0 with previous version 2.0.0 dated 2024-09-26

Title: Endogenous Switching and Sample Selection Regression Models
Description: Estimate the parameters of multivariate endogenous switching and sample selection models using methods described in Newey (2009) <doi:10.1111/j.1368-423X.2008.00263.x>, E. Kossova, B. Potanin (2018) <https://ideas.repec.org/a/ris/apltrx/0346.html>, E. Kossova, L. Kupriianova, B. Potanin (2020) <https://ideas.repec.org/a/ris/apltrx/0391.html> and E. Kossova, B. Potanin (2022) <https://ideas.repec.org/a/ris/apltrx/0455.html>.
Author: Bogdan Potanin [aut, cre, ctb], Sofiia Dolgikh [ctb]
Maintainer: Bogdan Potanin <bogdanpotanin@gmail.com>

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Package rapidsplithalf updated to version 0.7 with previous version 0.6 dated 2025-11-10

Title: A Fast Permutation-Based Split-Half Reliability Algorithm
Description: Accurately estimates the reliability of cognitive tasks using a fast and flexible permutation-based split-half reliability algorithm that supports stratified splitting while maintaining equal split sizes. See Kahveci, Bathke, and Blechert (2025) <doi:10.3758/s13423-024-02597-y> for details.
Author: Sercan Kahveci [aut, cre]
Maintainer: Sercan Kahveci <sercan.kahveci@plus.ac.at>

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Package S7 updated to version 0.2.1-1 with previous version 0.2.1 dated 2025-11-14

Title: An Object Oriented System Meant to Become a Successor to S3 and S4
Description: A new object oriented programming system designed to be a successor to S3 and S4. It includes formal class, generic, and method specification, and a limited form of multiple dispatch. It has been designed and implemented collaboratively by the R Consortium Object-Oriented Programming Working Group, which includes representatives from R-Core, 'Bioconductor', 'Posit'/'tidyverse', and the wider R community.
Author: Object-Oriented Programming Working Group [cph], Davis Vaughan [aut], Jim Hester [aut] , Tomasz Kalinowski [aut], Will Landau [aut], Michael Lawrence [aut], Martin Maechler [aut] , Luke Tierney [aut], Hadley Wickham [aut, cre]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package tall updated to version 1.0.0 with previous version 0.5.2 dated 2026-02-12

Title: Text Analysis for All
Description: An R 'shiny' app designed for diverse text analysis tasks, offering a wide range of methodologies tailored to Natural Language Processing (NLP) needs. It is a versatile, general-purpose tool for analyzing textual data. 'tall' features a comprehensive workflow, including data cleaning, preprocessing, statistical analysis, and visualization, all integrated for effective text analysis.
Author: Massimo Aria [aut, cre, cph] , Maria Spano [aut] , Luca D'Aniello [aut] , Corrado Cuccurullo [ctb] , Michelangelo Misuraca [ctb]
Maintainer: Massimo Aria <aria@unina.it>

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Package SFOCDs updated to version 1.1.0 with previous version 1.0.0 dated 2025-12-04

Title: Space Filling Optimal Covariate Designs
Description: We have designed this package to address experimental scenarios involving multiple covariates. It focuses on construction of Optimal Covariate Designs (OCDs), checking space filling property of the developed design. The primary objective of the package is to generate OCDs using four methods viz., M array method, Juxtapose method, Orthogonal Integer Array and Hadamard method. The package also evaluates space filling properties of both the base design and OCDs using the MaxPro criterion, providing a meaningful basis for comparison. In addition, it includes tool to visualize the spread offered by the design points in the form of scatterplot, which help users to assess distribution and coverage of design points.
Author: Neethu RS [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Ashutosh Dalal [aut, ctb, cre]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

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New package rip.opencv with initial version 0.3-1
Package: rip.opencv
Version: 0.3-1
Date: 2026-04-11
Title: Interface to 'OpenCV' Image Processing Routines
Description: R interface for calling 'OpenCV' routines that works by translating R objects to 'OpenCV' classes and back. Low-level wrappers for several 'OpenCV' routines are provided as 'Rcpp' modules. In addition, high level interfaces are provided for a limited selection of common operations.
License: GPL-2 | GPL-3
SystemRequirements: OpenCV 4 or newer
Imports: grDevices, graphics, Rcpp
Depends: R (>= 4.5.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/deepayan/rip
BugReports: https://github.com/deepayan/rip/issues
Author: Deepayan Sarkar [aut, cre] , Kaustav Nandy [aut]
Maintainer: Deepayan Sarkar <deepayan.sarkar@r-project.org>
NeedsCompilation: yes
Packaged: 2026-04-12 02:55:30 UTC; deepayan
Repository: CRAN
Date/Publication: 2026-04-15 14:30:02 UTC

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Package ParamANOVA updated to version 0.1.3 with previous version 0.1.2 dated 2025-03-07

Title: Fully Parameterizable ANOVA Tests
Description: Allows the user to perform ANOVA tests (in a strict sense: continuous and normally-distributed Y variable and 1 or more factorial/categorical X variable(s)), with the possibility to specify the type of sum of squares (1, 2 or 3), the types of variables (Fixed or Random) and their relationships (crossed or nested) with the sole function of the package (FullyParamANOVA()). The resulting outputs are the same as in 'SAS' software. A dataset (Butterfly) to test the function is also joined.
Author: Victor Brans [aut, cre]
Maintainer: Victor Brans <vicbrans003@gmail.com>

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Package hfhub updated to version 0.1.2 with previous version 0.1.1 dated 2023-08-18

Title: Hugging Face Hub Interface
Description: Provides functionality to download and cache files from 'Hugging Face Hub' <https://huggingface.co/models>. Uses the same caching structure so files can be shared between different client libraries.
Author: Tomasz Kalinowski [ctb, cre], Daniel Falbel [aut], Christophe Regouby [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package anticlust updated to version 0.8.14 with previous version 0.8.13 dated 2025-11-29

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to optimal and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), Papenberg (2024; <doi:10.1111/bmsp.12315>), Papenberg, Wang, et al. (2025; <doi:10.1016/j.crmeth.2025.101137>), Papenberg, Breuer, et al. (2025; <doi:10.1017/psy.2025.10052>), and Yang et al. [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb] , Hannah Hengelbrock [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

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Package Rcpp updated to version 1.1.1-1 with previous version 1.1.1 dated 2026-01-10

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , JJ Allaire [aut] , Kevin Ushey [aut] , Qiang Kou [aut] , Nathan Russell [aut], Inaki Ucar [aut] , Doug Bates [aut] , John Chambers [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 1.1.1 dated 2026-01-10 and 1.1.1-1 dated 2026-04-15

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Package QuickJSR updated to version 1.9.1-2 with previous version 1.9.1 dated 2026-04-09

Title: Interface for the 'QuickJS-NG' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine and all 'R' to 'JavaScript' interoperability is bundled within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] , QuickJS Authors [cph] , QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

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Package precondition updated to version 0.1.0-1 with previous version 0.1.0 dated 2023-03-28

Title: Lightweight Precondition, Postcondition, and Sanity Checks
Description: Implements fast, safe, and customizable assertions routines, which can be used in place of base::stopifnot().
Author: Taras Zakharko [aut, cre]
Maintainer: Taras Zakharko <taras.zakharko@gmail.com>

Diff between precondition versions 0.1.0 dated 2023-03-28 and 0.1.0-1 dated 2026-04-15

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Package phutil updated to version 0.0.1-2 with previous version 0.0.1 dated 2025-05-15

Title: Persistence Homology Utilities
Description: A low-level package for hosting persistence data. It is part of the 'TDAverse' suite of packages, which is designed to provide a collection of packages for enabling machine learning and data science tasks using persistent homology. Implements a class for hosting persistence data, a number of coercers from and to already existing and used data structures from other packages and functions to compute distances between persistence diagrams. A formal definition and study of bottleneck and Wasserstein distances can be found in Bubenik, Scott and Stanley (2023) <doi:10.1007/s41468-022-00103-8>. Their implementation in 'phutil' relies on the 'C++' Hera library developed by Kerber, Morozov and Nigmetov (2017) <doi:10.1145/3064175>.
Author: Aymeric Stamm [aut, cre] , Jason Cory Brunson [aut] , Michael Kerber [ctb] , Dmitriy Morozov [ctb] , Arnur Nigmetov [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>

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Package pak updated to version 0.9.3-1 with previous version 0.9.3 dated 2026-04-09

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gabor Csardi [aut, cre], Jim Hester [aut], Posit Software, PBC [cph, fnd] , Winston Chang [ctb] , Ascent Digital Services [cph, fnd] , Hadley Wickham [ctb, cph] , Jeroen Ooms [ctb] , Maelle Salmon [ctb] , Duncan Temple Lang [ctb] , Lloyd Hilaiel [cph [...truncated...]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between pak versions 0.9.3 dated 2026-04-09 and 0.9.3-1 dated 2026-04-15

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Package leidenAlg updated to version 1.1.6-1 with previous version 1.1.6 dated 2026-03-06

Title: Implements the Leiden Algorithm via an R Interface
Description: An R interface to the Leiden algorithm, an iterative community detection algorithm on networks. The algorithm is designed to converge to a partition in which all subsets of all communities are locally optimally assigned, yielding communities guaranteed to be connected. The implementation proves to be fast, scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The original implementation was constructed as a python interface "leidenalg" found here: <https://github.com/vtraag/leidenalg>. The algorithm was originally described in Traag, V.A., Waltman, L. & van Eck, N.J. "From Louvain to Leiden: guaranteeing well-connected communities". Sci Rep 9, 5233 (2019) <doi:10.1038/s41598-019-41695-z>.
Author: Peter Kharchenko [aut], Viktor Petukhov [aut], Yichen Wang [aut], V.A. Traag [ctb], Gabor Csardi [ctb], Tamas Nepusz [ctb], Minh Van Nguyen [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

Diff between leidenAlg versions 1.1.6 dated 2026-03-06 and 1.1.6-1 dated 2026-04-15

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Package IP updated to version 0.1.6-1 with previous version 0.1.6 dated 2025-05-07

Title: Classes and Methods for 'IP' Addresses
Description: Provides S4 classes for Internet Protocol (IP) versions 4 and 6 addresses and efficient methods for 'IP' addresses comparison, arithmetic, bit manipulation and lookup. Both 'IPv4' and 'IPv6' arbitrary ranges are also supported as well as internationalized ('IDN') domain lookup with and 'whois' query.
Author: Thomas Soubiran [aut], Rucknium [cre]
Maintainer: Rucknium <Rucknium@protonmail.com>

Diff between IP versions 0.1.6 dated 2025-05-07 and 0.1.6-1 dated 2026-04-15

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Package dsdp updated to version 0.1.1-1 with previous version 0.1.1 dated 2023-02-11

Title: Density Estimation with Semidefinite Programming
Description: The models of probability density functions are Gaussian or exponential distributions with polynomial correction terms. Using a maximum likelihood method, 'dsdp' computes parameters of Gaussian or exponential distributions together with degrees of polynomials by a grid search, and coefficient of polynomials by a variant of semidefinite programming. It adopts Akaike Information Criterion for model selection. See a vignette for a tutorial and more on our 'Github' repository <https://github.com/tsuchiya-lab/dsdp/>.
Author: Satoshi Kakihara [aut, cre], Takashi Tsuchiya [aut]
Maintainer: Satoshi Kakihara <skakihara@gmail.com>

Diff between dsdp versions 0.1.1 dated 2023-02-11 and 0.1.1-1 dated 2026-04-15

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Package cpp4r updated to version 0.5.0-1 with previous version 0.5.1 dated 2026-04-15

Title: Header-Only 'C++' and 'R' Interface
Description: Provides a header only, 'C++' interface to 'R' with enhancements over 'cpp11'. Enforces copy-on-write semantics consistent with 'R' behavior. Offers native support for ALTREP objects, 'UTF-8' string handling, modern 'C++11' features and idioms, and reduced memory requirements. Allows for vendoring, making it useful for restricted environments. Compared to 'cpp11', it adds support for converting 'C++' maps to 'R' lists, 'Roxygen' documentation directly in 'C++' code, proper handling of matrix attributes, support for nullable external pointers, bidirectional copy of complex number types, flexibility in type conversions, use of nullable pointers, and various performance optimizations.
Author: Mauricio Vargas Sepulveda [aut, cre] , Posit Software, PBC [aut]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

Diff between cpp4r versions 0.5.1 dated 2026-04-15 and 0.5.0-1 dated 2026-04-15

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New package MLCausal with initial version 0.1.0
Package: MLCausal
Title: Causal Inference Methods for Multilevel and Clustered Data
Version: 0.1.0
Date: 2026-04-07
Description: Provides an end-to-end workflow for estimating average treatment effects in clustered (multilevel) observational data. Core functionality includes cluster-aware propensity score estimation using fixed effects and Mundlak-style specifications, inverse probability weighting, within-cluster nearest-neighbor matching, covariate balance diagnostics at both individual and cluster-mean levels, outcome regression with cluster-robust standard errors, propensity score overlap visualization, and tipping-point sensitivity analysis for omitted cluster-level confounding.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/causalfragility-lab/MLCausal
BugReports: https://github.com/causalfragility-lab/MLCausal/issues
Depends: R (>= 4.1.0)
Imports: stats, sandwich (>= 3.0-0), lmtest (>= 0.9-38), ggplot2 (>= 3.3.0), rlang (>= 0.4.0)
Suggests: testthat (>= 3.0.0), knitr (>= 1.36), rmarkdown (>= 2.11)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-08 22:35:03 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-15 13:10:07 UTC

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New package mcmsector with initial version 1.0.2
Package: mcmsector
Title: Estimating Subnational Public and Private Contraceptive Supply Shares Over Time
Version: 1.0.2
Author: Hannah Comiskey [aut, cre], David Fraizer [aut], Ole Maneesoonthorn [aut]
Maintainer: Hannah Comiskey <hannahcomiskey68@gmail.com>
Description: Engaging the private sector in contraceptive method supply is critical for equitable, sustainable, and accessible healthcare systems. This package implements Bayesian hierarchical models to estimate public and private contraceptive supply shares over time at national and subnational levels, using Demographic and Health Survey (DHS) data. Penalized splines are used to track supply shares over time, and spatial correlation structures link national and subnational estimates in data- sparse settings. For more details see Comiskey (2025) <doi:10.48550/arXiv.2510.25153>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
LazyData: true
Suggests: knitr, R2jags, rmarkdown, testthat (>= 3.0.0), mcmsupply
Imports: haven, survey, stats, openxlsx, magrittr, rlang, dplyr, plyr, stringr, labelled, tibble, tidyr
NeedsCompilation: no
Packaged: 2026-04-09 05:11:37 UTC; hcom0005
Repository: CRAN
Date/Publication: 2026-04-15 13:10:02 UTC

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Package fmriAR updated to version 0.3.2 with previous version 0.3.1 dated 2026-01-25

Title: Fast AR and ARMA Noise Whitening for Functional MRI (fMRI) Design and Data
Description: Lightweight utilities to estimate autoregressive (AR) and autoregressive moving average (ARMA) noise models from residuals and apply matched generalized least squares to whiten functional magnetic resonance imaging (fMRI) design and data matrices. The ARMA estimator follows a classic 1982 approach <doi:10.1093/biomet/69.1.81>, and a restricted AR family mirrors workflows described by Cox (2012) <doi:10.1016/j.neuroimage.2011.08.056>.
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>

Diff between fmriAR versions 0.3.1 dated 2026-01-25 and 0.3.2 dated 2026-04-15

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Package arm updated to version 1.15-3 with previous version 1.15-2 dated 2026-03-22

Title: Data Analysis Using Regression and Multilevel/Hierarchical Models
Description: Functions to accompany A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007.
Author: Andrew Gelman [aut], Yu-Sung Su [aut, cre] , Masanao Yajima [ctb], Jennifer Hill [ctb], Maria Grazia Pittau [ctb], Jouni Kerman [ctb], Tian Zheng [ctb], Vincent Dorie [ctb]
Maintainer: Yu-Sung Su <suyusung@tsinghua.edu.cn>

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Package tna updated to version 1.2.2 with previous version 1.2.0 dated 2026-02-12

Title: Transition Network Analysis (TNA)
Description: Provides tools for performing Transition Network Analysis (TNA) to study relational dynamics, including functions for building and plotting TNA models, calculating centrality measures, and identifying dominant events and patterns. TNA statistical techniques (e.g., bootstrapping and permutation tests) ensure the reliability of observed insights and confirm that identified dynamics are meaningful. See (Saqr et al., 2025) <doi:10.1145/3706468.3706513> for more details on TNA.
Author: Mohammed Saqr [aut], Santtu Tikka [aut], Sonsoles Lopez-Pernas [aut, cre]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>

Diff between tna versions 1.2.0 dated 2026-02-12 and 1.2.2 dated 2026-04-15

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New package tinyrox with initial version 0.3.3
Package: tinyrox
Title: Minimal R Documentation Generator
Version: 0.3.3
Description: A deterministic, dependency-free documentation generator for R packages. Generates valid Rd files and NAMESPACE from 'roxygen2'-style comments using only base R. Supports a strict subset of tags with no markdown parsing, no inference magic, and explicit-only behavior.
License: GPL-3
URL: https://github.com/cornball-ai/tinyrox
BugReports: https://github.com/cornball-ai/tinyrox/issues
Encoding: UTF-8
Suggests: tinytest
NeedsCompilation: no
Packaged: 2026-04-08 14:32:30 UTC; troy
Author: Troy Hernandez [aut, cre]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-04-15 12:40:02 UTC

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New package tidyOhdsiSolutions with initial version 0.1.0
Package: tidyOhdsiSolutions
Title: Tidy Utilities for Observational Medical Outcomes Partnership Common Data Model Workflows
Version: 0.1.0
Depends: R (>= 4.1.0)
Description: Lightweight utilities for working with OMOP (Observational Medical Outcomes Partnership) Common Data Model (CDM) data in the Observational Health Data Sciences and Informatics ecosystem. Provides base-R re-implementations of common 'purrr' functional helpers, tools to convert plain data frames into 'CIRCE' concept set expressions, SQL generators for resolving concept sets against an OMOP vocabulary schema without requiring 'CirceR'.
License: Apache License (>= 2)
Imports: jsonlite, stats
Suggests: CirceR, DatabaseConnector, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-08 12:21:09 UTC; AlexanderAleksiayuk
Author: Alexander Alexeyuk [aut, cre]
Maintainer: Alexander Alexeyuk <AlexanderAlexeyuk@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-15 12:10:02 UTC

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Package qlcal updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-18

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now maintained separately just for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').
Author: Dirk Eddelbuettel [aut, cre] , QuantLib Authors [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between qlcal versions 0.1.0 dated 2026-02-18 and 0.1.1 dated 2026-04-15

 ChangeLog                           |   12 +++++++++++
 DESCRIPTION                         |    8 +++----
 MD5                                 |   16 +++++++-------
 build/partial.rdb                   |binary
 inst/NEWS.Rd                        |    7 ++++++
 src/ql/time/calendars/china.cpp     |   16 +++++++++++++-
 src/ql/time/calendars/singapore.cpp |   16 ++++++++++++++
 src/ql/time/calendars/singapore.hpp |    2 -
 src/ql/time/calendars/taiwan.cpp    |   39 ++++++++++++++++++++++++++++++++++++
 9 files changed, 102 insertions(+), 14 deletions(-)

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New package postlink with initial version 0.1.0
Package: postlink
Title: Post-Linkage Data Analysis
Version: 0.1.0
Depends: R (>= 3.5.0)
Imports: stats, survival, label.switching, methods, nleqslv, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.5.0)
Suggests: testthat (>= 3.0.0)
Description: Provides a suite of statistical tools for post-linkage data analysis (PLDA), designed to account for record linkage errors in downstream modeling. The package implements a familiar, formula-based regression interface that adjusts for linkage uncertainty, accommodating workflows where direct access to unlinked primary files is restricted. It consolidates diverse adjustment methodologies, all of which support generalized linear models (linear, logistic, Poisson, and Gamma). These methodologies include weighting approaches (Chambers (2009) <https://hdl.handle.net/10779/uow.27788247>; Chambers et al. (2023) <doi:10.1002/wics.1596>), mixture modeling (Slawski et al. (2025) <doi:10.1093/jrsssa/qnae083>), and Bayesian mixture modeling (Gutman et al. (2016) <doi:10.1002/sim.6586>). For time-to-event data, both the weighting (Vo et al. (2024) <doi:10.1002/sim.9960>) and mixture modeling approaches accommodate Cox proportional hazards models, while the Bayesian appr [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/postlink-group/postlink/issues
Biarch: true
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
URL: https://postlink-group.github.io/postlink/
NeedsCompilation: yes
Packaged: 2026-03-31 02:39:43 UTC; bpriy
Author: Priyanjali Bukke [aut, cre], Gauri Kamat [aut], Jiahao Cui [aut], Roee Gutman [aut], Martin Slawski [aut], Zhenbang Wang [ctb], Brady T. West [ctb], Emanuel Ben-David [ctb], Guoqing Diao [ctb]
Maintainer: Priyanjali Bukke <postlink.group@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-15 12:10:09 UTC

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New package NSMM with initial version 0.1.2
Package: NSMM
Title: Non-Stationary Multivariate (Copula-Based) Framework, Hydrological Applications
Version: 0.1.2
Description: To account for non-stationary multivariate data, this package implements the framework including copula and marginal distributions. In addition to modeling and parameter estimations, it allows the computation and visualization of multivariate quantile curves for given events. This package is useful for a variety of disciplines such as finance, climatology and particularly for hydrological applications, where dependence structures and marginal parameters may vary over time. This framework, based on Chebana & Ouarda (2021) <doi:10.1016/j.jhydrol.2020.125907>, integrates both multivariate and non-stationary aspects to be more accurate (e.g. for risk assessment) and more realistic (e.g. considering climate changes).
Imports: colorspace, copula, dplyr, EnvStats, evd, ggplot2, openxlsx
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-04-06 21:49:54 UTC; gabrielreynoso
Author: Dorsaf Goutali [aut, cre], Fateh Chebana [aut]
Maintainer: Dorsaf Goutali <dorsaf.goutali@inrs.ca>
Repository: CRAN
Date/Publication: 2026-04-15 12:40:13 UTC

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New package nmfkc with initial version 0.6.7
Package: nmfkc
Title: Non-Negative Matrix Factorization with Kernel Covariates
Version: 0.6.7
Date: 2026-03-30
Maintainer: Kenichi Satoh <kenichi-satoh@biwako.shiga-u.ac.jp>
URL: https://github.com/ksatohds/nmfkc, https://ksatohds.github.io/nmfkc/
BugReports: https://github.com/ksatohds/nmfkc/issues
Description: Performs Non-negative Matrix Factorization (NMF) with Kernel Covariates. Given an observation matrix and kernel covariates, it optimizes both a basis matrix and a parameter matrix. Notably, if the kernel matrix is an identity matrix, the method simplifies to standard NMF. Also provides NMF with Random Effects (NMF-RE) via nmfre(), which estimates a mixed-effects model combining covariate-driven scores with unit-specific random effects together with wild bootstrap inference, and NMF-based Structural Equation Modeling (NMF-SEM) via nmf.sem(), which fits a two-block input-output model for blind source separation and path analysis. References: Satoh (2025) <doi:10.48550/arXiv.2403.05359>; Satoh (2025) <doi:10.48550/arXiv.2510.10375>; Satoh (2025) <doi:10.48550/arXiv.2512.18250>; Satoh (2026) <doi:10.48550/arXiv.2603.01468>; Satoh (2026) <doi:10.1007/s42081-025-00314-0>.
License: MIT + file LICENSE
Imports: stats, graphics, utils, grDevices
Encoding: UTF-8
Language: en-US
ByteCompile: true
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mclust, palmerpenguins, quanteda, vars, DiagrammeR, MASS, nlme, lavaan
NeedsCompilation: no
Packaged: 2026-04-08 21:27:06 UTC; ksato
Author: Kenichi Satoh [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-15 13:00:14 UTC

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New package modeldiagramR with initial version 0.2.1
Package: modeldiagramR
Title: Generate Model Diagrams for Linear Mixed Effect Models
Version: 0.2.1
Description: Generates 'DiagrammeR' model diagrams for hierarchical linear mixed effects models. Details can be found in Linse (2026) <doi:10.6339/26-JDS1222>.
Depends: R (>= 4.1),
Imports: stats, utils, methods, stringr, dplyr, tidyr, tidyselect, magrittr, tibble, gtools, forcats, nlme, DiagrammeR
Suggests: ggplot2, patchwork, ggthemes, lme4, lmerTest, knitr, viridis, DiagrammeRsvg, webshot, FielDHub, rsvg
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/glinse-stat/modeldiagramr
BugReports: https://github.com/glinse-stat/modeldiagramr/issues
NeedsCompilation: no
Packaged: 2026-04-08 17:25:15 UTC; greta
Author: Greta Linse [aut, cre], Mark Greenwood [aut]
Maintainer: Greta Linse <greta.linse@montana.edu>
Repository: CRAN
Date/Publication: 2026-04-15 13:00:23 UTC

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New package h3sdm with initial version 0.1.0
Package: h3sdm
Title: Species Distribution Modeling with H3 Grids
Version: 0.1.0
Description: Provides tools for species distribution modeling using H3 hexagonal grids (Uber Technologies Inc., 2022, <https://h3geo.org>). Facilitates retrieval of species occurrence records, generation of H3 grids, computation of landscape metrics, and preparation of spatial data for modern species distribution models workflows. Designed for biodiversity and landscape ecology research.
URL: https://github.com/ManuelSpinola/h3sdm
BugReports: https://github.com/ManuelSpinola/h3sdm/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: sf, dplyr, purrr, tibble, rlang, terra, spatialsample, recipes, rsample, tune, workflows, yardstick, ecospat, DALEX, stacks
Suggests: ggplot2, paisaje, knitr, rmarkdown, here, tidyr, themis, DALEXtra, ingredients, exactextractr, landscapemetrics, h3jsr, tidyterra, spocc, tidymodels, workflowsets, ranger, xgboost, ggbrick, parsnip, tidyverse
VignetteBuilder: knitr
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-08 19:07:44 UTC; manuel_nuevo
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-15 13:00:29 UTC

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New package GLSUP with initial version 1.0.0
Package: GLSUP
Title: Generalised Linear Step-Up Procedure for Multiple Hypothesis Testing
Version: 1.0.0
Maintainer: Toby Kenney <tkenney@mathstat.dal.ca>
Description: Performs the Generalised Linear Step-up Procedure (GLSUP) with a flexible user-defined sizing function. Functions are also available for creating common sizing functions.
License: GPL-3
Encoding: UTF-8
Imports: graphics
NeedsCompilation: no
Packaged: 2026-04-08 21:29:37 UTC; tkenney
Author: Toby Kenney [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-15 13:00:40 UTC

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New package GFFStrandLoc with initial version 0.1.0
Package: GFFStrandLoc
Title: Strand-Wise Gene and Protein Extraction from GFF3 Files
Version: 0.1.0
Maintainer: Subham Ghosh <search4aghosh@gmail.com>
Description: Facilitates the extraction and organization of strand-specific genomic features from GFF3 files. In many species and variants, high quality genome annotations are not always available, necessitating de novo annotation using tools such as AUGUSTUS (Stanke et al., 2006; <doi:10.1093/nar/gkl200>). However, downstream processing of such annotations to obtain structured information, such as strand-wise gene locations, transcript regions, and associated protein identifiers—can be computationally intensive and complex. 'GFFStrandLoc' provides a streamlined framework to parse GFF3 files and generate structured outputs containing strand-wise and region-wise genomic coordinates for each transcript, along with their associated protein information. Additionally, it enables users to define custom promoter lengths and extract corresponding promoter region coordinates for genes in a strand-aware manner. By simplifying post-annotation processing, it enhances the usability of de novo annotated ge [...truncated...]
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-08 14:11:44 UTC; Subham
Author: Subham Ghosh [aut, cre], Monendra Grover [aut], Dipro Sinha [aut], Dwijesh Mishra [aut], Sneha Murmu [aut], Sayanti Guha Majumdar [aut], UB Angadi [aut], Md Yeasin [aut]
Repository: CRAN
Date/Publication: 2026-04-15 12:30:02 UTC

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New package FAPA with initial version 0.1.1
Package: FAPA
Title: Factor Analytic Profile Analysis of Ipsatized Data
Version: 0.1.1
Date: 2026-04-08
Description: Implements Factor Analytic Profile Analysis of Ipsatized Data ('FAPA'), a metric inferential framework for pattern detection and person-level reconstruction in multivariate profile data. After row-centering (ipsatization) to remove profile elevation, 'FAPA' applies singular value decomposition ('SVD') to recover shared core profiles and individual pattern weights. Dimensionality is determined by a variance-matched Horn's parallel analysis. A three-stage bootstrap verification framework assesses (1) dimensionality via parallel analysis, (2) subspace stability via Procrustes principal angles, and (3) profile replicability via Tucker's congruence coefficients. BCa bootstrap confidence intervals for core-profile coordinates are computed via the canonical 'boot' package implementation of Davison and Hinkley (1997) <doi:10.1017/CBO9780511802843>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: boot, graphics, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/sekangakim/FAPA
BugReports: https://github.com/sekangakim/FAPA/issues
NeedsCompilation: no
Packaged: 2026-04-08 16:21:33 UTC; sekangkim
Author: Se-Kang Kim [aut, cre]
Maintainer: Se-Kang Kim <se-kang.kim@bcm.edu>
Repository: CRAN
Date/Publication: 2026-04-15 12:50:02 UTC

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New package doclisting with initial version 0.1.0
Package: doclisting
Title: List Functions in Documentation
Version: 0.1.0
Description: Generate 'Rd' markup to list methods for a generic function. Makes it easier to document S3, S4, and S7 generics by automatically finding and linking to method documentation.
License: MIT + file LICENSE
URL: https://github.com/r-lib/doclisting, https://doclisting.r-lib.org
BugReports: https://github.com/r-lib/doclisting/issues
Depends: R (>= 4.1)
Imports: methods
Suggests: pkgload, S7, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-08 21:51:05 UTC; hadleywickham
Author: Hadley Wickham [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>
Repository: CRAN
Date/Publication: 2026-04-15 13:00:35 UTC

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Package augmentedRCBD (with last version 0.1.7) was removed from CRAN

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

2023-08-18 0.1.7
2023-05-28 0.1.6
2021-06-12 0.1.5
2021-02-17 0.1.4

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Package scpropreg updated to version 1.2 with previous version 1.1 dated 2026-03-24

Title: Simplicially Constrained Regression Models for Proportions
Description: Simplicially constrained regression models for proportions in both sides. The constraint is always that the betas are non-negative and sum to 1. References: Iverson S.J.., Field C., Bowen W.D. and Blanchard W. (2004) "Quantitative Fatty Acid Signature Analysis: A New Method of Estimating Predator Diets". Ecological Monographs, 74(2): 211-235. <doi:10.1890/02-4105>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between scpropreg versions 1.1 dated 2026-03-24 and 1.2 dated 2026-04-15

 DESCRIPTION              |    8 ++++----
 MD5                      |   12 ++++++------
 NAMESPACE                |    2 +-
 R/mpcls.R                |   33 ++++++++++++++++++++-------------
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 man/pcls.Rd              |    8 ++++++--
 man/scpropreg-package.Rd |    4 ++--
 7 files changed, 42 insertions(+), 29 deletions(-)

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Package pakret updated to version 0.3.1 with previous version 0.3.0 dated 2025-12-13

Title: Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto'
Description: References and cites 'R' and 'R' packages on the fly in 'R Markdown' and 'Quarto'. 'pakret' provides a minimalist API that generates preformatted citations for 'R' and 'R' packages, and adds their references to a '.bib' file directly from within your document.
Author: Arnaud Gallou [aut, cre, cph]
Maintainer: Arnaud Gallou <arangacas@gmail.com>

Diff between pakret versions 0.3.0 dated 2025-12-13 and 0.3.1 dated 2026-04-15

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 README.md                          |   12 +++++++++-
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 tests/testthat/_snaps/pkrt-list.md |   14 +++++++++++
 tests/testthat/_snaps/pkrt.md      |    2 -
 tests/testthat/helper.R            |    2 -
 tests/testthat/test-pkrt-list.R    |   18 +++++++++++++++
 tests/testthat/test-pkrt-set.R     |   15 ++++++++++--
 tests/testthat/test-pkrt.R         |    5 ++++
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Package fingerPro updated to version 2.1 with previous version 2.0 dated 2025-08-27

Title: Unmixing Model Framework
Description: Quantifies the provenance of sediments by applying a mixing model algorithm to end sediment mixtures based on a comprehensive characterization of the sediment sources. The 'fingerPro' model builds upon the foundational concept of using mass balance linear equations for sediment source quantification by incorporating several distinct technical advancements. It employs an optimization approach to normalize discrepancies in tracer ranges and minimize the objective function. Latin hypercube sampling is used to explore all possible combinations of source contributions (0-100%), mitigating the risk of local minima. Uncertainty in source estimates is quantified through a Monte Carlo routine, and the model includes additional metrics, such as the normalized error of the virtual mixture, to detect mathematical inconsistencies, non-physical solutions, and biases. A new linear variability propagation (LVP) method is also included to address and quantify potential bias in model outcomes, particula [...truncated...]
Author: Borja Latorre [aut, cre] , Leticia Gaspar [aut] , Ivan Lizaga [aut] , Leticia Palazon [aut] , Vince Q Vu [ctb], Ana Navas [aut, fnd, ths]
Maintainer: Borja Latorre (Core Team) <borja.latorre@csic.es>

Diff between fingerPro versions 2.0 dated 2025-08-27 and 2.1 dated 2026-04-15

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Package eClosure updated to version 0.9.4 with previous version 0.9.3 dated 2026-03-17

Title: Methods Based on the e-Closure Principle
Description: Implements several methods for False Discovery Rate control based on the e-Closure Principle, in particular the Closed e-Benjamini-Hochberg and Closed Benjamini-Yekutieli procedures.
Author: Jelle Goeman [aut, cre]
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>

Diff between eClosure versions 0.9.3 dated 2026-03-17 and 0.9.4 dated 2026-04-15

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Package DOT (with last version 0.1) was removed from CRAN

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2016-04-15 0.1

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Package REPTILE (with last version 1.0) was removed from CRAN

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2016-06-21 1.0

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Package flux (with last version 0.3-0.1) was removed from CRAN

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2022-06-26 0.3-0.1
2014-04-25 0.3-0
2013-10-02 0.2-2
2012-04-17 0.2-1
2012-03-24 0.2-0
2011-09-27 0.1-6
2011-09-24 0.1-5
2011-08-11 0.1-4
2011-07-04 0.1-3
2011-04-11 0.1-2

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

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2016-10-18 0.1.0

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Package prettyR (with last version 2.2-3) was removed from CRAN

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2019-04-09 2.2-3
2018-10-23 2.2-2
2015-10-20 2.2
2015-04-29 2.1-1
2015-01-20 2.1
2014-05-25 2.0-8
2013-04-14 2.0-7
2012-11-24 2.0-6
2012-09-06 2.0-5
2012-01-22 2.0-4
2012-01-17 2.0-3
2011-09-06 2.0-1
2011-08-08 2.0
2011-06-17 1.9
2011-06-04 1.8-9
2010-12-01 1.8-6
2010-11-18 1.8-5
2010-11-04 1.8-4
2010-10-26 1.8-3
2010-01-24 1.8-1
2010-01-08 1.8
2009-11-11 1.7
2009-06-18 1.5
2009-01-20 1.4
2008-11-06 1.3-5
2008-10-24 1.3-4
2008-09-05 1.3-3
2008-06-23 1.3-2
2008-06-16 1.3-1
2008-03-25 1.3
2008-02-21 1.2-1
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2007-08-14 1.1-1
2007-05-30 1.0-6

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Package FuncNN (with last version 1.0) was removed from CRAN

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2020-09-15 1.0

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2018-09-10 1.3.7

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Package diffeRenTES (with last version 0.3.2) was removed from CRAN

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2022-04-28 0.3.2

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Package leafgl updated to version 0.2.4 with previous version 0.2.2 dated 2024-11-13

Title: High-Performance 'WebGl' Rendering for Package 'leaflet'
Description: Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript library to render large data in the browser using 'WebGl'.
Author: Tim Appelhans [cre, aut, cph] , Colin Fay [ctb] , Robert Plummer [ctb] , Kent Johnson [ctb], Sebastian Gatscha [ctb], Olivier Roy [ctb]
Maintainer: Tim Appelhans <tappelhans@tutamail.com>

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Package cograph updated to version 2.1.1 with previous version 2.0.0 dated 2026-03-31

Title: Analysis and Visualization of Complex Networks
Description: Provides tools for the analysis, visualization, and manipulation of dynamical, social (Saqr et al. (2024) <doi:10.1007/978-3-031-54464-4_10>) and complex networks (Saqr et al. (2025) <doi:10.1145/3706468.3706513>). The package supports multiple network formats and offers flexible tools for heterogeneous, multi-layer, and hierarchical network analysis with simple syntax and extensive toolset.
Author: Mohammed Saqr [aut, cph], Sonsoles Lopez-Pernas [aut, cre, cph]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>

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Package yrnd updated to version 0.1.2 with previous version 0.1.1 dated 2026-03-15

Title: Extracts Risk Neutral Densities of Prices, Money Market Rates and Government Bond Yields from Fixed Income Options Prices
Description: Provides with parametric risk neutral densities and cumulative densities for futures prices on fixed-income products. It relies on options on Short Term Interest Rate futures contracts or options on government bond futures contracts. It models the price of the underlying asset as a mixture of either two or three lognormal densities. It also offers new functions which provide with risk neutral densities and cumulative densities of the money market rate or the government bond yield inferred from the futures contract's price, using the density of the futures price. The package leverages on the works of Melick, W. R. and Thomas, C. P. (1997) <doi:10.2307/2331318> and B. Bahra (1998) <doi:10.2139/ssrn.77429>.
Author: William Arrata [aut, cre]
Maintainer: William Arrata <william.arrata@gmail.com>

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Package string2path updated to version 0.3.1 with previous version 0.3.0 dated 2026-04-13

Title: Rendering Font into 'data.frame'
Description: Extract glyph information from font data, and translate the outline curves to flattened paths or tessellated polygons. The converted data is returned as a 'data.frame' in easy-to-plot format.
Author: Hiroaki Yutani [aut, cre] , The authors of the dependency Rust crates [ctb]
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>

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Package RXKCD updated to version 2.0.1 with previous version 1.9.2 dated 2020-02-24

Title: Get XKCD Comic from R
Description: Visualize your favorite XKCD comic strip directly from R. Includes full-text search with BM25 ranking and semantic similarity search via local 'GloVe' embeddings, powered by a local 'DuckDB' cache.
Author: Paolo Sonego [aut, cph, cre], Mikko Korpela [aut]
Maintainer: Paolo Sonego <paolo.sonego@gmail.com>

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Package poweRbal updated to version 0.1.0 with previous version 0.0.1.1 dated 2024-08-16

Title: Phylogenetic Tree Models and the Power of Tree Shape Statistics
Description: The first goal of this package is to provide a multitude of tree models, i.e., functions that generate rooted binary trees with a given number of leaves. Second, the package allows for an easy evaluation and comparison of tree shape statistics by estimating their power to differentiate between different tree models. Please note that this R package was developed alongside the manuscript 'Tree balance in phylogenetic models' by S. J. Kersting, K. Wicke, and M. Fischer (2025) <doi:10.1098/rstb.2023.0303>, which provides further background and the respective mathematical definitions. This project was supported by the project ArtIGROW, which is a part of the WIR!-Alliance ArtIFARM – Artificial Intelligence in Farming funded by the German Federal Ministry of Education and Research (No. 03WIR4805).
Author: Sophie Kersting [aut, cre] , Kristina Wicke [aut] , Mareike Fischer [aut]
Maintainer: Sophie Kersting <sophie.kersting@uni-greifswald.de>

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Package Epi updated to version 2.65 with previous version 2.64 dated 2026-03-26

Title: Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data. In particular representation, manipulation, rate estimation and simulation for multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data. Has functions for extracting and manipulating parameter estimates and predicted values (ci.lin and its cousins), as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

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Package beyondWhittle updated to version 1.3.1 with previous version 1.3.0 dated 2024-11-25

Title: Bayesian Spectral Inference for Time Series
Description: Implementations of Bayesian parametric, nonparametric and semiparametric procedures for univariate and multivariate time series. The package is based on the methods presented in C. Kirch et al (2018) <doi:10.1214/18-BA1126>, A. Meier (2018) <https://opendata.uni-halle.de//handle/1981185920/13470> and Y. Tang et al (2025) <doi:10.1080/01621459.2025.2594191>. It was supported by DFG grants KI 1443/3-1 and KI 1443/3-2.
Author: Alexander Meier [aut], Claudia Kirch [aut], Matthew C. Edwards [aut], Renate Meyer [aut, cre], Yifu Tang [aut]
Maintainer: Renate Meyer <renate.meyer@auckland.ac.nz>

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Package rurality updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-10

Title: Classification and Scoring of U.S. County and ZIP Code Rurality
Description: Provides USDA Rural-Urban Continuum Codes (RUCC 2023), Rural-Urban Commuting Area codes (RUCA 2020), and a composite rurality score for all U.S. counties. Functions enable lookup by FIPS code, ZIP code, or county name, and easy merging with existing datasets. Data sources include the USDA Economic Research Service, U.S. Census Bureau American Community Survey, and Census TIGER/Line shapefiles.
Author: Cameron Wimpy [aut, cre]
Maintainer: Cameron Wimpy <cwimpy@astate.edu>

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Package pubmedR updated to version 1.0.0 with previous version 0.0.3 dated 2020-07-09

Title: Gathering Metadata About Publications, Grants, Clinical Trials from 'PubMed' Database
Description: A set of tools to extract bibliographic content from 'PubMed' database using 'NCBI' REST API <https://www.ncbi.nlm.nih.gov/home/develop/api/>. It includes functions to search, download, and convert 'PubMed' bibliographic records into data frames compatible with the 'bibliometrix' package. Features include programmatic query building, batch downloading by PMID, citation enrichment via 'NCBI' E-Link, and robust error handling with automatic retry logic.
Author: Massimo Aria [aut, cre]
Maintainer: Massimo Aria <massimo.aria@gmail.com>

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Package mvtnorm updated to version 1.3-7 with previous version 1.3-6 dated 2026-03-15

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates, and densities. Log-likelihoods for multivariate Gaussian models and Gaussian copulae parameterised by Cholesky factors of covariance or precision matrices are implemented for interval-censored and exact data, or a mix thereof. Score functions for these log-likelihoods are available. A class representing multiple lower triangular matrices and corresponding methods are part of this package.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb] , Martin Maechler [ctb] , Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package marlod updated to version 0.2.3 with previous version 0.2.2 dated 2025-10-18

Title: Marginal Modeling for Exposure Data with Values Below the LOD
Description: Functions of marginal mean and quantile regression models are used to analyze environmental exposure and biomonitoring data with repeated measurements and non-detects (i.e., values below the limit of detection (LOD)), as well as longitudinal exposure data that include non-detects and time-dependent covariates. For more details see Chen IC, Bertke SJ, Curwin BD (2021) <doi:10.1038/s41370-021-00345-1>, Chen IC, Bertke SJ, Estill CF (2024) <doi:10.1038/s41370-024-00640-7>, Chen IC, Bertke SJ, Dahm MM (2024) <doi:10.1093/annweh/wxae068>, and Chen IC (2025) <doi:10.1038/s41370-025-00752-8>.
Author: I-Chen Chen [cre, aut] , Philip Westgate [ctb], Liya Fu [ctb]
Maintainer: I-Chen Chen <flecsh@gmail.com>

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Package DrugExposureDiagnostics updated to version 1.1.7 with previous version 1.1.6 dated 2026-02-16

Title: Diagnostics for OMOP Common Data Model Drug Records
Description: Ingredient specific diagnostics for drug exposure records in the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Ger Inberg [aut, cre] , Edward Burn [aut] , Theresa Burkard [aut] , Yuchen Guo [ctb] , Marti Catala [ctb] , Mike Du [ctb] , Xintong Li [ctb] , Ross Williams [ctb] , Erasmus MC [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package cpp4r updated to version 0.5.1 with previous version 0.5.0 dated 2026-04-13

Title: Header-Only 'C++' and 'R' Interface
Description: Provides a header only, 'C++' interface to 'R' with enhancements over 'cpp11'. Enforces copy-on-write semantics consistent with 'R' behavior. Offers native support for ALTREP objects, 'UTF-8' string handling, modern 'C++11' features and idioms, and reduced memory requirements. Allows for vendoring, making it useful for restricted environments. Compared to 'cpp11', it adds support for converting 'C++' maps to 'R' lists, 'Roxygen' documentation directly in 'C++' code, proper handling of matrix attributes, support for nullable external pointers, bidirectional copy of complex number types, flexibility in type conversions, use of nullable pointers, and various performance optimizations.
Author: Mauricio Vargas Sepulveda [aut, cre] , Posit Software, PBC [aut]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

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Package bhmbasket updated to version 1.1.0 with previous version 1.0.0 dated 2026-02-21

Title: Bayesian Hierarchical Models for Basket Trials
Description: Provides functions for the evaluation of basket trial designs with binary endpoints. Operating characteristics of a basket trial design are assessed by simulating trial data according to scenarios, analyzing the data with Bayesian hierarchical models (BHMs), and assessing decision probabilities on stratum and trial-level based on Go / No-go decision making. The package is build for high flexibility regarding decision rules, number of interim analyses, number of strata, and recruitment. The BHMs proposed by Berry et al. (2013) <doi:10.1177/1740774513497539> and Neuenschwander et al. (2016) <doi:10.1002/pst.1730>, as well as a model that combines both approaches are implemented. Functions are provided to implement Bayesian decision rules as for example proposed by Fisch et al. (2015) <doi:10.1177/2168479014533970>. In addition, posterior point estimates (mean/median) and credible intervals for response rates and some model parameters can be calculated. For simulated tri [...truncated...]
Author: Stephan Wojciekowski [aut, cre], Tathagata Chattopadhyay [aut]
Maintainer: Stephan Wojciekowski <stephan.wojciekowski@boehringer-ingelheim.com>

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Package AHMbook updated to version 0.2.12 with previous version 0.2.10 dated 2024-09-11

Title: Functions and Data for the Book 'Applied Hierarchical Modeling in Ecology' Vols 1 and 2
Description: Provides functions to simulate data sets from hierarchical ecological models, including all the simulations described in the two volume publication 'Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS' by Marc Kéry and Andy Royle: volume 1 (2016, ISBN: 978-0-12-801378-6) and volume 2 (2021, ISBN: 978-0-12-809585-0), <https://www.mbr-pwrc.usgs.gov/pubanalysis/keryroylebook/>. It also has all the utility functions and data sets needed to replicate the analyses shown in the books.
Author: Marc Kery [aut], Andy Royle [aut], Mike Meredith [aut], Ken Kellner [ctb, cre] , Urs Breitenmoser [dtc] , Richard Chandler [ctb], Bob Dorazio [ctb], Evan Grant [dtc] , John-Andren Henden [dtc] , Roland Kays [dtc] , David King [dtc] , Xavier Lambin [d [...truncated...]
Maintainer: Ken Kellner <contact@kenkellner.com>

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Package torchvisionlib updated to version 0.8.0 with previous version 0.6.0 dated 2025-04-14

Title: Additional Operators for Image Models
Description: Implements additional operators for computer vision models, including operators necessary for image segmentation and object detection deep learning models.
Author: Daniel Falbel [aut], Tomasz Kalinowski [ctb, cre], RStudio [cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package radiant.model updated to version 1.6.11 with previous version 1.6.9 dated 2026-01-09

Title: Model Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Model menu includes interfaces for linear and logistic regression, naive Bayes, neural networks, classification and regression trees, model evaluation, collaborative filtering, decision analysis, and simulation. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package openssl updated to version 2.4.0 with previous version 2.3.5 dated 2026-02-26

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] , Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package mev updated to version 2.2 with previous version 2.1 dated 2025-11-11

Title: Modelling of Extreme Values
Description: Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes (Dombry, Engelke and Oesting, 2016, <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.
Author: Leo Belzile [aut, cre] , Jennifer L. Wadsworth [aut], Paul J. Northrop [aut] , Raphael Huser [aut] , Scott D. Grimshaw [aut] , Jin Zhang [ctb], Michael A. Stephens [ctb], Art B. Owen [ctb]
Maintainer: Leo Belzile <belzilel@gmail.com>

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Package ggmlR updated to version 0.7.2 with previous version 0.7.0 dated 2026-04-06

Title: 'GGML' Tensor Operations for Machine Learning
Description: Provides 'R' bindings to the 'GGML' tensor library for machine learning, optimized for 'Vulkan' GPU acceleration with a transparent CPU fallback. The package features a 'Keras'-like sequential API and a 'PyTorch'-style 'autograd' engine for building, training, and deploying neural networks. Key capabilities include high-performance 5D tensor operations, 'f16' precision, and efficient quantization. It supports native 'ONNX' model import (50+ operators) and 'GGUF' weight loading from the 'llama.cpp' and 'Hugging Face' ecosystems. Designed for zero-overhead inference via dedicated weight buffering, it integrates seamlessly as a 'parsnip' engine for 'tidymodels' and provides first-class learners for the 'mlr3' framework. See <https://github.com/ggml-org/ggml> for more information about the underlying library.
Author: Yuri Baramykov [aut, cre], Georgi Gerganov [ctb, cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , Mozilla Foundation [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package FoReco updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-12

Title: Forecast Reconciliation
Description: Classical (bottom-up and top-down), optimal combination and heuristic point (Di Fonzo and Girolimetto, 2023 <doi:10.1016/j.ijforecast.2021.08.004>) and probabilistic (Girolimetto et al. 2024 <doi:10.1016/j.ijforecast.2023.10.003>) forecast reconciliation procedures for linearly constrained time series (e.g., hierarchical or grouped time series) in cross-sectional, temporal, or cross-temporal frameworks.
Author: Daniele Girolimetto [aut, cre] , Tommaso Di Fonzo [aut] , Yangzhuoran Fin Yang [ctb]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

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Package ctv updated to version 0.9-8 with previous version 0.9-7 dated 2025-07-27

Title: CRAN Task Views
Description: Infrastructure for task views to CRAN-style repositories: Querying task views and installing the associated packages (client-side tools), generating HTML pages and storing task view information in the repository (server-side tools).
Author: Achim Zeileis [aut, cre] , Kurt Hornik [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package climenu updated to version 0.1.7 with previous version 0.1.5 dated 2026-02-18

Title: Interactive Command-Line Menus
Description: Provides interactive command-line menu functionality with single and multiple selection menus, keyboard navigation (arrow keys or vi-style j/k), preselection, and graceful fallback for non-interactive environments. Inspired by tools such as 'inquirer.js' <https://github.com/SBoudrias/Inquirer.js>, 'pick' <https://github.com/aisk/pick>, and 'survey' <https://github.com/AlecAivazis/survey>. Designed to be lightweight and easy to integrate into 'R' packages and scripts.
Author: Petr Čala [aut, cre]
Maintainer: Petr Čala <61505008@fsv.cuni.cz>

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Package bin2norm updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-17

Title: Hierarchical Probit Estimation for Dichotomized Data
Description: Provides likelihood-based and hierarchical estimation methods for thresholded (binomial-probit) data. Supports fixed-mean and random-mean models with maximum likelihood estimation (MLE), generalized linear mixed model (GLMM), and Bayesian Markov chain Monte Carlo (MCMC) implementations. For methodological background, see Albert and Chib (1993) <doi:10.1080/01621459.1993.10476321> and McCulloch (1994) <doi:10.2307/2297959>.
Author: Zhaoze Liu [aut], Longwen Shang [aut], Mary Lesperance [aut], Shuqing Zhou [aut], Xuekui Zhang [aut, cre, fnd]
Maintainer: Xuekui Zhang <xuekui@uvic.ca>

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Package unfold updated to version 1.0.1 with previous version 1.0.0 dated 2025-08-26

Title: Mapping Hidden Geometry into Future Sequences
Description: A variational mapping approach that reveals and expands future temporal dynamics from folded high-dimensional geometric distance spaces, unfold turns a set of time series into a 4D block of pairwise distances between reframed windows, learns a variational mapper that maps those distances to the next reframed window, and produces horizon-wise predictive functions for each input series. In short: it unfolds the future path of each series from a folded geometric distance representation.
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

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Package exametrika updated to version 1.11.0 with previous version 1.10.1 dated 2026-03-19

Title: Test Theory Analysis and Biclustering
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

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Package brassica updated to version 1.0.3 with previous version 1.0.2 dated 2022-10-24

Title: 1970s BASIC Interpreter
Description: Executes BASIC programs from the 1970s, for historical and educational purposes. This enables famous examples of early machine learning, artificial intelligence, natural language processing, cellular automata, and so on, to be run in their original form.
Author: Mike Lee [aut, cre]
Maintainer: Mike Lee <random.deviate@gmail.com>

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Package betaARMA updated to version 1.1.0 with previous version 1.0.1 dated 2026-03-29

Title: Beta Autoregressive Moving Average Models
Description: Fits Beta Autoregressive Moving Average (BARMA) models for time series data distributed in the standard unit interval (0, 1). The estimation is performed via the conditional maximum likelihood method using the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-Newton algorithm. The package includes tools for model fitting, diagnostic checking, and forecasting. Based on the work of Rocha and Cribari-Neto (2009) <doi:10.1007/s11749-008-0112-z> and the associated erratum Rocha and Cribari-Neto (2017) <doi:10.1007/s11749-017-0528-4>. The original code was developed by Fabio M. Bayer.
Author: Everton da Costa [aut, cre] , Francisco Cribari-Neto [ctb, ths] , Vinicius Scher [ctb]
Maintainer: Everton da Costa <everto.cost@gmail.com>

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Package assemblykor updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-07

Title: Korean National Assembly Data for Political Science Education
Description: Provides ready-to-use datasets from the Korean National Assembly (assemblies 20 through 22, 2016-2026) for teaching quantitative methods in political science. Includes legislator metadata, bill proposals, roll call votes, asset declarations, and policy seminar records. Designed as a Korean politics counterpart to packages like 'palmerpenguins', enabling students to practice regression, panel data analysis, text analysis, and network analysis with real legislative data. Roll call vote data and spatial voting models are described in Poole and Rosenthal (1985) <doi:10.2307/2111172>. Legislative data is sourced from the Korean National Assembly Open API.
Author: Kyusik Yang [aut, cre]
Maintainer: Kyusik Yang <kyusik.yang@nyu.edu>

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Package RFIF (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:

2026-04-10 1.0.1
2026-03-31 1.0

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Package glmmrOptim (with last version 0.3.7) was removed from CRAN

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

2026-03-31 0.3.7
2024-12-17 0.3.6
2024-06-02 0.3.5
2024-03-12 0.3.4

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Tue, 14 Apr 2026

Package rblimp updated to version 1.1.0 with previous version 1.0.0 dated 2026-02-20

Title: Integration of 'Blimp' Software into R
Description: Provides an interface to 'Blimp' software for Bayesian latent variable modeling, missing data analysis, and multiple imputation. The package generates 'Blimp' syntax, executes 'Blimp' models, and imports results back into 'R' as structured objects with methods for visualization and analysis. Requires 'Blimp' software (freely available at <https://www.appliedmissingdata.com/blimp>) to be installed separately.
Author: Brian T. Keller [aut, cre, cph]
Maintainer: Brian T. Keller <btkeller@missouri.edu>

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Package mascarade updated to version 0.3.4 with previous version 0.3.3 dated 2026-03-24

Title: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Description: Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>

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Package tinyVAST updated to version 1.5.1 with previous version 1.5.0 dated 2026-03-23

Title: Multivariate Spatio-Temporal Models using Structural Equations
Description: Fits a wide variety of multivariate spatio-temporal models with simultaneous and lagged interactions among variables (including vector autoregressive spatio-temporal ('VAST') dynamics) for areal, continuous, or network spatial domains. It includes time-variable, space-variable, and space-time-variable interactions using dynamic structural equation models ('DSEM') as expressive interface, and the 'mgcv' package to specify splines via the formula interface. See Thorson et al. (2025) <doi:10.1111/geb.70035> for more details.
Author: James T. Thorson [aut, cre] , Sean C. Anderson [aut]
Maintainer: James T. Thorson <James.Thorson@noaa.gov>

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Package tinyimg updated to version 0.4 with previous version 0.3 dated 2026-03-06

Title: Optimize and Compress Images
Description: Optimize and compress images using 'Rust' libraries to reduce file sizes while maintaining image quality. Supports PNG palette reduction and dithering via the 'exoquant' crate before lossless PNG optimization via the 'oxipng' crate, and JPEG re-encoding via the 'mozjpeg' crate. The package provides functions to optimize individual image files or entire directories, with configurable compression levels. Use tinyimg() as a convenient entry point for mixed PNG/JPEG workflows.
Author: Yihui Xie [aut, cre, cph] , Authors of the dependency Rust crates [ctb, cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package spatemR updated to version 1.3.0 with previous version 1.2.0 dated 2025-06-03

Title: Generalized Spatial Autoregresive Models for Mean and Variance
Description: Modeling spatial dependencies in dependent variables, extending traditional spatial regression approaches. It allows for the joint modeling of both the mean and the variance of the dependent variable, incorporating semiparametric effects in both models. Based on generalized additive models (GAM), the package enables the inclusion of non-parametric terms while maintaining the classical theoretical framework of spatial regression. Additionally, it implements the Generalized Spatial Autoregression (GSAR) model, which extends classical methods like logistic Spatial Autoregresive Models (SAR), probit Spatial Autoregresive Models (SAR), and Poisson Spatial Autoregresive Models (SAR), offering greater flexibility in modeling spatial dependencies and significantly improving computational efficiency and the statistical properties of the estimators. Related work includes: a) J.D. Toloza-Delgado, Melo O.O., Cruz N.A. (2024). "Joint spatial modeling of mean and non-homogeneous variance combining s [...truncated...]
Author: Nelson Alirio Cruz Gutierrez [aut, cre, cph], Oscar Orlando Melo [aut], Jurgen Toloza-Delgado [aut]
Maintainer: Nelson Alirio Cruz Gutierrez <nelson-alirio.cruz@uib.es>

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Package gglogger updated to version 0.1.8 with previous version 0.1.7 dated 2025-10-08

Title: Track 'ggplot2' Calls
Description: Provides a way to log 'ggplot' component calls, which can be useful for debugging and understanding how 'ggplot' objects are created. The logged calls can be printed, saved, and re-executed to reproduce the original 'ggplot' object.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

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Package fastVoteR updated to version 0.0.2 with previous version 0.0.1 dated 2024-11-27

Title: Efficient Voting Methods for Committee Selection
Description: A fast 'Rcpp'-based implementation of polynomially-computable voting theory methods for committee ranking and scoring. The package includes methods such as Approval Voting (AV), Satisfaction Approval Voting (SAV), sequential Proportional Approval Voting (PAV), and sequential Phragmen's Rule. Weighted variants of these methods are also provided, allowing for differential voter influence.
Author: John Zobolas [cre, aut] , Anne-Marie George [ctb]
Maintainer: John Zobolas <bblodfon@gmail.com>

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Package ecodive updated to version 2.2.6 with previous version 2.2.2 dated 2026-01-16

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

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Package mapgl updated to version 0.4.6 with previous version 0.4.5 dated 2026-03-06

Title: Interactive Maps with 'Mapbox GL JS' and 'MapLibre GL JS'
Description: Provides an interface to the 'Mapbox GL JS' (<https://docs.mapbox.com/mapbox-gl-js/guides>) and the 'MapLibre GL JS' (<https://maplibre.org/maplibre-gl-js/docs/>) interactive mapping libraries to help users create custom interactive maps in R. Users can create interactive globe visualizations; layer 'sf' objects to create filled maps, circle maps, 'heatmaps', and three-dimensional graphics; and customize map styles and views. The package also includes utilities to use 'Mapbox' and 'MapLibre' maps in 'Shiny' web applications.
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package mnorm updated to version 1.2.3 with previous version 1.2.2 dated 2023-11-29

Title: Multivariate Normal Distribution
Description: Calculates and differentiates probabilities and density of (conditional) multivariate normal distribution and Gaussian copula (with various marginal distributions) using methods described in A. Genz (2004) <doi:10.1023/B:STCO.0000035304.20635.31>, A. Genz, F. Bretz (2009) <doi:10.1007/978-3-642-01689-9>, H. I. Gassmann (2003) <doi:10.1198/1061860032283> and E. Kossova, B. Potanin (2018) <https://ideas.repec.org/a/ris/apltrx/0346.html>.
Author: Bogdan Potanin [aut, cre, ctb], Sofiia Dolgikh [ctb]
Maintainer: Bogdan Potanin <bogdanpotanin@gmail.com>

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Package mlt updated to version 1.8-0 with previous version 1.7-4 dated 2026-03-06

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package omophub updated to version 1.6.0 with previous version 1.5.0 dated 2026-03-26

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 shortr updated to version 1.0.2 with previous version 1.0.1 dated 2025-04-15

Title: Develop Concise but Comprehensive Shortened Versions of Psychometric Instruments
Description: Operationalizes the identification problem of which subset of items should be kept in the shortened version of a said psychometric instrument to best represent the set of items comprised in the original version of the said psychometric instrument.
Author: Lois Fournier [aut, cre] , Alexandre Heeren [aut] , Stephanie Baggio [aut] , Luke Clark [aut] , Antonio Verdejo-Garcia [aut] , Jose C. Perales [aut] , Joel Billieux [aut]
Maintainer: Lois Fournier <lois.fournier@unil.ch>

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Package NTLKwIEx updated to version 0.2.0 with previous version 0.1.0 dated 2024-02-05

Title: Computation of NTLKwIEx Distribution Properties
Description: Implements statistical tools for analyzing, simulating, and computing properties of the New Topp-Leone Kumaraswamy Inverse Exponential (NTLKwIEx) distribution. See Atchadé M, Otodji T, and Djibril A (2024) <doi:10.1063/5.0179458> and Atchadé M, Otodji T, Djibril A, and N'bouké M (2023) <doi:10.1515/phys-2023-0151> for details.
Author: Mintode Nicodeme Atchade [aut], Theophile Otodji [aut, cre]
Maintainer: Theophile Otodji <otodjitheodule@gmail.com>

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Package netUtils updated to version 0.8.5 with previous version 0.8.4 dated 2026-01-24

Title: A Collection of Tools for Network Analysis
Description: Provides a collection of network analytic (convenience) functions which are missing in other standard packages. This includes triad census with attributes <doi:10.1016/j.socnet.2019.04.003>, core-periphery models <doi:10.1016/S0378-8733(99)00019-2>, and several graph generators. Most functions are build upon 'igraph'.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

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Package mlstm updated to version 0.1.7 with previous version 0.1.6 dated 2026-04-03

Title: Multilevel Supervised Topic Models with Multiple Outcomes
Description: Fits latent Dirichlet allocation (LDA), supervised topic models, and multilevel supervised topic models for text data with multiple outcome variables. Core estimation routines are implemented in C++ using the 'Rcpp' ecosystem. For topic models, see Blei et al. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>. For supervised topic models, see Blei and McAuliffe (2007) <https://papers.nips.cc/paper_files/paper/2007/hash/d56b9fc4b0f1be8871f5e1c40c0067e7-Abstract.html>.
Author: Tomoya Himeno [aut, cre]
Maintainer: Tomoya Himeno <bd24f002@g.hit-u.ac.jp>

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Package ItemRest updated to version 0.2.5 with previous version 0.2.4 dated 2026-04-13

Title: Automated Item Removal Strategies for Exploratory Factor Analysis
Description: Automates the identification and comparative evaluation of item-removal strategies in exploratory factor analysis, producing transparent summaries (explained variance, loading ranges, reliability) to support comfortable, reproducible decisions. The criteria are based on best practices and established heuristics (e.g., Costello & Osborne (2005) <doi:10.7275/jyj1-4868>, Howard (2016) <doi:10.1080/10447318.2015.1087664>). Includes flexible thresholds for factor loadings (min_loading) and cross-loading differences (loading_diff).
Author: Ahmet Caliskan [aut, cre], Abdullah Faruk Kilic [aut]
Maintainer: Ahmet Caliskan <ahmetcaliskan1987@gmail.com>

Diff between ItemRest versions 0.2.4 dated 2026-04-13 and 0.2.5 dated 2026-04-14

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Package conMItion updated to version 0.3.0 with previous version 0.2.1 dated 2025-09-29

Title: Conditional Mutual Information Estimation for Multi-Omics Data
Description: The biases introduced in association measures, particularly mutual information, are influenced by factors such as tumor purity, mutation burden, and hypermethylation. This package provides the estimation of conditional mutual information (CMI) and its statistical significance with a focus on its application to multi-omics data. Utilizing B-spline functions (inspired by Daub et al. (2004) <doi:10.1186/1471-2105-5-118>), the package offers tools to estimate the association between heterogeneous multi- omics data, while removing the effects of confounding factors. This helps to unravel complex biological interactions. In addition, it includes methods to evaluate the statistical significance of these associations, providing a robust framework for multi-omics data integration and analysis. This package is ideal for researchers in computational biology, bioinformatics, and systems biology seeking a comprehensive tool for understanding interdependencies in omics data.
Author: Gaojianyong Wang [aut, cre]
Maintainer: Gaojianyong Wang <gjywang@gmail.com>

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Package CompositionalSR updated to version 1.4 with previous version 1.3 dated 2026-04-07

Title: Spatial Regression Models with Compositional Data
Description: Spatial and non-spatial regression models with compositional responses (and compositional predictors) using the alpha--transformation. Relevant papers include: Tsagris M. and Pantazis Y. (2026), <doi:10.48550/arXiv.2510.12663>, Tsagris M. (2015), <https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf>, Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package anytime updated to version 0.3.13 with previous version 0.3.12 dated 2025-07-14

Title: Anything to 'POSIXct' or 'Date' Converter
Description: Convert input in any one of character, integer, numeric, factor, or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of predefined formats, and relying on Boost facilities for date and time parsing.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between anytime versions 0.3.12 dated 2025-07-14 and 0.3.13 dated 2026-04-14

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Package utsf updated to version 1.3.2 with previous version 1.3.1 dated 2025-10-23

Title: Univariate Time Series Forecasting
Description: An engine for univariate time series forecasting using different regression models in an autoregressive way. The engine provides an uniform interface for applying the different models. Furthermore, it is extensible so that users can easily apply their own regression models to univariate time series forecasting and benefit from all the features of the engine, such as preprocessings or estimation of forecast accuracy.
Author: Maria Pilar Frias-Bustamante [aut] , Francisco Martinez [aut, cre, cph]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

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Package idar updated to version 1.7 with previous version 1.6 dated 2025-05-01

Title: Individual Diversity-Area Relationships
Description: Computes and tests individual (species, phylogenetic and functional) diversity-area relationships, i.e., how species-, phylogenetic- and functional-diversity varies with spatial scale around the individuals of some species in a community. See applications of these methods in Wiegand et al. (2007) <doi:10.1073/pnas.0705621104> or Chacon-Labella et al. (2016) <doi:10.1007/s00442-016-3547-z>.
Author: Marcelino de la Cruz [aut, cre] , Etienne Laliberte [ctb]
Maintainer: Marcelino de la Cruz <marcelino.delacruz@urjc.es>

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Package vandalico updated to version 0.2.2 with previous version 0.2.1 dated 2026-01-08

Title: Evaluation of Presence-Absence Models
Description: Collection of functions to evaluate presence-absence models. It comprises functions to adjust discrimination statistics for the representativeness effect through case-weighting, along with functions for visualizing the outcomes. Originally outlined in: Jiménez-Valverde (2022) The uniform AUC: dealing with the representativeness effect in presence-absence models. Methods Ecol. Evol, 13, 1224-1236.
Author: Alberto Jimenez-Valverde [aut, cre]
Maintainer: Alberto Jimenez-Valverde <alberto.jimenez.valverde@gmail.com>

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Package svyROC updated to version 1.1.0 with previous version 1.0.0 dated 2024-10-25

Title: Estimation of the ROC Curve and the AUC for Complex Survey Data
Description: Estimate the receiver operating characteristic (ROC) curve, area under the curve (AUC) and optimal cut-off points for individual classification taking into account complex sampling designs when working with complex survey data. Methods implemented in this package are described in: A. Iparragirre, I. Barrio, I. Arostegui (2024) <doi:10.1002/sta4.635>; A. Iparragirre, I. Barrio, J. Aramendi, I. Arostegui (2022) <doi:10.2436/20.8080.02.121>; A. Iparragirre, I. Barrio (2024) <doi:10.1007/978-3-031-65723-8_7>.
Author: Amaia Iparragirre [aut, cre, cph] , Irantzu Barrio [aut], Inmaculada Arostegui [aut]
Maintainer: Amaia Iparragirre <amaia.iparragirre@ehu.eus>

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Package lavaangui updated to version 0.4.0 with previous version 0.3.2 dated 2025-11-30

Title: Graphical User Interface with Integrated 'Diagrammer' for 'Lavaan'
Description: Provides a graphical user interface with an integrated diagrammer for latent variable models from the 'lavaan' package. It offers two core functions: first, lavaangui() launches a web application that allows users to specify models by drawing path diagrams, fitting them, assessing model fit, and more; second, plot_lavaan() creates interactive path diagrams from models specified in 'lavaan'. After customizing a diagram interactively, export_plot() saves it to a file, enabling reproducible scripts without sacrificing fine-grained control over appearance. Karch (2024) <doi: 10.1080/10705511.2024.2420678> contains a tutorial.
Author: Julian D. Karch [aut, cre, cph]
Maintainer: Julian D. Karch <j.d.karch@fsw.leidenuniv.nl>

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Package insight updated to version 1.5.0 with previous version 1.4.6 dated 2026-02-04

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

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Package MatchingPursuit updated to version 1.0.1 with previous version 1.0.0 dated 2026-04-09

Title: Processing Time Series Data Using the Matching Pursuit Algorithm
Description: Provides tools for analysing and decomposing time series data using the Matching Pursuit (MP) algorithm, a greedy signal decomposition technique that represents complex signals as a linear combination of simpler functions (called atoms) selected from a redundant dictionary. For more details see Mallat and Zhang (1993) <doi:10.1109/78.258082>, Pati et al. (1993) <doi:10.1109/ACSSC.1993.342465>, Elad (2010) <doi:10.1007/978-1-4419-7011-4> and Różański (2024) <doi:10.1145/3674832>.
Author: Artur Gramacki [aut, cre] , Jaroslaw Gramacki [ctb] , Piotr T. Rożanski [ctb]
Maintainer: Artur Gramacki <a.gramacki@gmail.com>

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Package maplegend updated to version 0.6.2 with previous version 0.6.1 dated 2026-04-10

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 immunogenetr updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-06

Title: A Comprehensive Toolkit for Clinical HLA Informatics
Description: A comprehensive toolkit for clinical Human Leukocyte Antigen (HLA) informatics, built on 'tidyverse' <https://tidyverse.tidyverse.org/> principles and making use of genotype list string (GL string, Mack et al. (2023) <doi:10.1111/tan.15126>) for storing and computing HLA genotype data. Specific functionalities include: coercion of HLA data in tabular format to and from GL string; calculation of matching and mismatching in all directions, with multiple output formats; automatic formatting of HLA data for searching within a GL string; truncation of molecular HLA data to a specific number of fields; and reading HLA genotypes in HML files and extracting the GL string. This library is intended for research use. Any application making use of this package in a clinical setting will need to be independently validated according to local regulations.
Author: Nicholas Brown [cre, aut] , Busra Coskun [aut]
Maintainer: Nicholas Brown <nicholas.brown@pennmedicine.upenn.edu>

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Package hpa updated to version 1.3.4 with previous version 1.3.3 dated 2023-11-29

Title: Distributions Hermite Polynomial Approximation
Description: Multivariate conditional and marginal densities, moments, cumulative distribution functions as well as binary choice and sample selection models based on the Hermite polynomial approximation which was proposed and described by A. Gallant and D. W. Nychka (1987) <doi:10.2307/1913241>.
Author: Bogdan Potanin [aut, cre, ctb], Sofiia Dolgikh [ctb]
Maintainer: Bogdan Potanin <bogdanpotanin@gmail.com>

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Package ggrefine updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-30

Title: Pretty 'ggplot2' Themes
Description: A set of complete 'ggplot2' themes and refine functions for plot appearance. The themes are designed to work seamlessly with the refine functions, which adjust gridlines and axis elements to suit the particulars of a plot.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between ggrefine versions 0.1.0 dated 2026-03-30 and 0.2.0 dated 2026-04-14

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Package bfboinet updated to version 1.0.0 with previous version 0.4.0 dated 2025-06-03

Title: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity
Description: Implements the Backfill Bayesian Optimal Interval Design (BF-BOIN-ET), a novel clinical trial methodology for dose optimization that simultaneously consider both efficacy and toxicity outcome as described in (Takeda et al (2025) <doi:10.1002/pst.2470>). The package has been extended to include a seamless two-stage phase I/II trial design with backfill and joint efficacy and toxicity monitoring as described in (Takeda et al (2026) <doi:10.1002/pst.70092>).
Author: Jing Zhu [cre, aut], Kentaro Takeda [aut], Yimer Belay Birlie [aut]
Maintainer: Jing Zhu <zhujing716@gmail.com>

Diff between bfboinet versions 0.4.0 dated 2025-06-03 and 1.0.0 dated 2026-04-14

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Package osmextract updated to version 0.6.0 with previous version 0.5.3 dated 2025-04-09

Title: Download and Import Open Street Map Data Extracts
Description: Match, download, convert and import Open Street Map data extracts obtained from several providers.
Author: Andrea Gilardi [aut, cre] , Robin Lovelace [aut] , Barry Rowlingson [ctb] , Salva Fernandez [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/395>), Nicholas Potter [rev] for rOpenSci, see <https://github.com/ropensci/soft [...truncated...]
Maintainer: Andrea Gilardi <andrea.gilardi@unimib.it>

Diff between osmextract versions 0.5.3 dated 2025-04-09 and 0.6.0 dated 2026-04-14

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